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xlsx

SheetJS js-xlsx

Parser and writer for various spreadsheet formats. Pure-JS cleanroom implementation from official specifications, related documents, and test files. Emphasis on parsing and writing robustness, cross-format feature compatibility with a unified JS representation, and ES3/ES5 browser compatibility back to IE6.

This is the community version. We also offer a pro version with performance enhancements, additional features by request, and dedicated support.

Pro Version

Commercial Support

Rendered Documentation

In-Browser Demos

Source Code

Issues and Bug Reports

Other General Support Issues

File format support for known spreadsheet data formats:

Graph of supported formats (click to show)

circo graph of format support

graph legend

Browser Test

Build Status

Build Status Build Status Coverage Status Dependencies Status NPM Downloads ghit.me Analytics

Table of Contents

Expand to show Table of Contents

Installation

In the browser, just add a script tag:

<script lang="javascript" src="dist/xlsx.full.min.js"></script>

With npm:

$ npm install xlsx

With bower:

$ bower install js-xlsx

CDNjs automatically pulls the latest version and makes all versions available at http://cdnjs.com/libraries/xlsx

JS Ecosystem Demos

The demos directory includes sample projects for:

Optional Modules

Optional features (click to show)

The node version automatically requires modules for additional features. Some of these modules are rather large in size and are only needed in special circumstances, so they do not ship with the core. For browser use, they must be included directly:

<!-- international support from js-codepage -->
<script src="dist/cpexcel.js"></script>

An appropriate version for each dependency is included in the dist/ directory.

The complete single-file version is generated at dist/xlsx.full.min.js

Webpack and browserify builds include optional modules by default. Webpack can be configured to remove support with resolve.alias:

  /* uncomment the lines below to remove support */
  resolve: {
    alias: { "./dist/cpexcel.js": "" } // <-- omit international support 
  }

ECMAScript 5 Compatibility

Since xlsx.js uses ES5 functions like Array#forEach, older browsers require Polyfills. This repo and the gh-pages branch include a shim

To use the shim, add the shim before the script tag that loads xlsx.js:

<script type="text/javascript" src="/path/to/shim.js"></script>

Philosophy

Philosophy (click to show)

Prior to SheetJS, APIs for processing spreadsheet files were format-specific. Third-party libraries either supported one format, or they involved a separate set of classes for each supported file type. Even though XLSB was introduced in Excel 2007, nothing outside of SheetJS or Excel supported the format.

To promote a format-agnostic view, js-xlsx starts from a pure-JS representation that we call the "Common Spreadsheet Format". Emphasizing a uniform object representation enables radical features like format conversion (e.g. reading an XLSX template and saving as XLS) and circumvents the "class trap". By abstracting the complexities of the various formats, tools need not worry about the specific file type!

A simple object representation combined with careful coding practices enables use cases in older browsers and in alternative environments like ExtendScript and Web Workers. It is always tempting to use the latest and greatest features, but they tend to require the latest versions of browsers, limiting usability.

Utility functions capture common use cases like generating JS objects or HTML. Most simple operations should only require a few lines of code. More complex operations generally should be straightforward to implement.

Excel pushes the XLSX format as default starting in Excel 2007. However, there are other formats with more appealing properties. For example, the XLSB format is spiritually similar to XLSX but files often tend up taking less than half the space and open much faster! Even though an XLSX writer is available, other format writers are available so users can take advantage of the unique characteristics of each format.

Parsing Workbooks

For parsing, the first step is to read the file. This involves acquiring the data and feeding it into the library. Here are a few common scenarios:

nodejs read a file (click to show)
if(typeof require !== 'undefined') XLSX = require('xlsx');
var workbook = XLSX.readFile('test.xlsx');
/* DO SOMETHING WITH workbook HERE */
Browser read TABLE element from page (click to show)
var worksheet = XLSX.utils.table_to_book(document.getElementById('tableau'));
/* DO SOMETHING WITH workbook HERE */
Browser download file (ajax) (click to show)

Note: for a more complete example that works in older browsers, check the demo at http://oss.sheetjs.com/js-xlsx/ajax.html):

/* set up XMLHttpRequest */
var url = "test_files/formula_stress_test_ajax.xlsx";
var oReq = new XMLHttpRequest();
oReq.open("GET", url, true);
oReq.responseType = "arraybuffer";
 
oReq.onload = function(e) {
  var arraybuffer = oReq.response;
 
  /* convert data to binary string */
  var data = new Uint8Array(arraybuffer);
  var arr = new Array();
  for(var i = 0; i != data.length; ++i) arr[i] = String.fromCharCode(data[i]);
  var bstr = arr.join("");
 
  /* Call XLSX */
  var workbook = XLSX.read(bstr, {type:"binary"});
 
  /* DO SOMETHING WITH workbook HERE */
}
 
oReq.send();
Browser drag-and-drop (click to show)

Drag-and-drop uses FileReader with readAsBinaryString or readAsArrayBuffer. Note: readAsBinaryString and readAsArrayBuffer may not be available in every browser. Use dynamic feature tests to determine which method to use.

/* processing array buffers, only required for readAsArrayBuffer */
function fixdata(data) {
  var o = "", l = 0, w = 10240;
  for(; l<data.byteLength/w; ++l) o+=String.fromCharCode.apply(null,new Uint8Array(data.slice(l*w,l*w+w)));
  o+=String.fromCharCode.apply(null, new Uint8Array(data.slice(l*w)));
  return o;
}
 
var rABS = true; // true: readAsBinaryString ; false: readAsArrayBuffer 
/* set up drag-and-drop event */
function handleDrop(e) {
  e.stopPropagation();
  e.preventDefault();
  var files = e.dataTransfer.files;
  var i,f;
  for (= 0; i != files.length; ++i) {
    f = files[i];
    var reader = new FileReader();
    var name = f.name;
    reader.onload = function(e) {
      var data = e.target.result;
 
      var workbook;
      if(rABS) {
        /* if binary string, read with type 'binary' */
        workbook = XLSX.read(data, {type: 'binary'});
      } else {
        /* if array buffer, convert to base64 */
        var arr = fixdata(data);
        workbook = XLSX.read(btoa(arr), {type: 'base64'});
      }
 
      /* DO SOMETHING WITH workbook HERE */
    };
    if(rABS) reader.readAsBinaryString(f);
    else reader.readAsArrayBuffer(f);
  }
}
drop_dom_element.addEventListener('drop', handleDrop, false);
Browser file upload form element (click to show)
/* fixdata and rABS are defined in the drag and drop example */
function handleFile(e) {
  var files = e.target.files;
  var i,f;
  for (= 0; i != files.length; ++i) {
    f = files[i];
    var reader = new FileReader();
    var name = f.name;
    reader.onload = function(e) {
      var data = e.target.result;
 
      var workbook;
      if(rABS) {
        /* if binary string, read with type 'binary' */
        workbook = XLSX.read(data, {type: 'binary'});
      } else {
        /* if array buffer, convert to base64 */
        var arr = fixdata(data);
        workbook = XLSX.read(btoa(arr), {type: 'base64'});
      }
 
      /* DO SOMETHING WITH workbook HERE */
    };
    reader.readAsBinaryString(f);
  }
}
input_dom_element.addEventListener('change', handleFile, false);

Complete Examples

Note that older versions of IE do not support HTML5 File API, so the base64 mode is used for testing.

Get base64 encoding on OSX / Windows (click to show)

On OSX you can get the base64 encoding with:

$ <target_file base64 | pbcopy

On Windows XP and up you can get the base64 encoding using certutil:

> certutil -encode target_file target_file.b64

(note: You have to open the file and remove the header and footer lines)

Streaming Read

Why is there no Streaming Read API? (click to show)

The most common and interesting formats (XLS, XLSX/M, XLSB, ODS) are ultimately ZIP or CFB containers of files. Neither format puts the directory structure at the beginning of the file: ZIP files place the Central Directory records at the end of the logical file, while CFB files can place the FAT structure anywhere in the file! As a result, to properly handle these formats, a streaming function would have to buffer the entire file before commencing. That belies the expectations of streaming, so we do not provide any streaming read API.

When dealing with Readable Streams, the easiest approach is to buffer the stream and process the whole thing at the end. This can be done with a temporary file or by explicitly concatenating the stream:

Explicitly concatenating streams (click to show)
var fs = require('fs');
var XLSX = require('xlsx');
function process_RS(stream/*:ReadStream*/, cb/*:(wb:Workbook)=>void*/)/*:void*/{
    var buffers = [];
    stream.on('data', function(data) { buffers.push(data); });
    stream.on('end', function() {
        var buffer = Buffer.concat(buffers);
        var workbook = XLSX.read(buffer, {type:"buffer"});
 
        /* DO SOMETHING WITH workbook IN THE CALLBACK */
        cb(workbook);
    });
}

More robust solutions are available using modules like concat-stream.

Writing to filesystem first (click to show)

This example uses tempfile for filenames:

var fs = require('fs'), tempfile = require('tempfile');
var XLSX = require('xlsx');
function process_RS(stream/*:ReadStream*/, cb/*:(wb:Workbook)=>void*/)/*:void*/{
    var fname = tempfile('.sheetjs');
    console.log(fname);
    var ostream = fs.createWriteStream(fname);
    stream.pipe(ostream);
    ostream.on('finish', function() {
        var workbook = XLSX.readFile(fname);
        fs.unlinkSync(fname);
 
        /* DO SOMETHING WITH workbook IN THE CALLBACK */
        cb(workbook);
    });
}

Working with the Workbook

The full object format is described later in this README.

Reading a specific cell (click to show)

This example extracts the value stored in cell A1 from the first worksheet:

var first_sheet_name = workbook.SheetNames[0];
var address_of_cell = 'A1';
 
/* Get worksheet */
var worksheet = workbook.Sheets[first_sheet_name];
 
/* Find desired cell */
var desired_cell = worksheet[address_of_cell];
 
/* Get the value */
var desired_value = (desired_cell ? desired_cell.v : undefined);
Adding a new worksheet to a workbook (click to show)

This example uses XLSX.utils.aoa_to_sheet to make a worksheet and appends the new worksheet to the workbook:

var new_ws_name = "SheetJS";
 
/* make worksheet */
var ws_data = [
    [ "S", "h", "e", "e", "t", "J", "S" ],
    [  1 ,  2 ,  3 ,  4 ,  5 ]
];
var ws = XLSX.utils.aoa_to_sheet(ws_data);
 
/* Add the sheet name to the list */
wb.SheetNames.push(ws_name);
 
/* Load the worksheet object */
wb.Sheets[ws_name] = ws;
 

Complete Examples

The node version installs a command line tool xlsx which can read spreadsheet files and output the contents in various formats. The source is available at xlsx.njs in the bin directory.

Some helper functions in XLSX.utils generate different views of the sheets:

  • XLSX.utils.sheet_to_csv generates CSV
  • XLSX.utils.sheet_to_html generates HTML
  • XLSX.utils.sheet_to_json generates an array of objects
  • XLSX.utils.sheet_to_formulae generates a list of formulae

Writing Workbooks

For writing, the first step is to generate output data. The helper functions write and writeFile will produce the data in various formats suitable for dissemination. The second step is to actual share the data with the end point. Assuming workbook is a workbook object:

nodejs write a file (click to show)
/* output format determined by filename */
XLSX.writeFile(workbook, 'out.xlsx');
/* at this point, out.xlsx is a file that you can distribute */
Browser download file (click to show)

Note: browser generates binary blob and forces a "download" to client. This example uses FileSaver.js:

/* bookType can be any supported output type */
var wopts = { bookType:'xlsx', bookSST:false, type:'binary' };
 
var wbout = XLSX.write(workbook,wopts);
 
function s2ab(s) {
  var buf = new ArrayBuffer(s.length);
  var view = new Uint8Array(buf);
  for (var i=0; i!=s.length; ++i) view[i] = s.charCodeAt(i) & 0xFF;
  return buf;
}
 
/* the saveAs call downloads a file on the local machine */
saveAs(new Blob([s2ab(wbout)],{type:"application/octet-stream"}), "test.xlsx");

Complete Examples

Streaming Write

The streaming write functions are available in the XLSX.stream object. They take the same arguments as the normal write functions but return a Readable Stream. They are only exposed in NodeJS.

  • XLSX.stream.to_csv is the streaming version of XLSX.utils.sheet_to_csv.
  • XLSX.stream.to_html is the streaming version of XLSX.utils.sheet_to_html.
nodejs convert to CSV and write file (click to show)
var output_file_name = "out.csv";
var stream = XLSX.stream.to_csv(worksheet);
stream.pipe(fs.createWriteStream(output_file_name));

https://github.com/sheetjs/sheetaki pipes write streams to nodejs response.

Interface

XLSX is the exposed variable in the browser and the exported node variable

XLSX.version is the version of the library (added by the build script).

XLSX.SSF is an embedded version of the format library.

Parsing functions

XLSX.read(data, read_opts) attempts to parse data.

XLSX.readFile(filename, read_opts) attempts to read filename and parse.

Parse options are described in the Parsing Options section.

Writing functions

XLSX.write(wb, write_opts) attempts to write the workbook wb

XLSX.writeFile(wb, filename, write_opts) attempts to write wb to filename

XLSX.writeFileAsync(filename, wb, o, cb) attempts to write wb to filename. If o is omitted, the writer will use the third argument as the callback.

XLSX.stream contains a set of streaming write functions.

Write options are described in the Writing Options section.

Utilities

Utilities are available in the XLSX.utils object:

Importing:

  • aoa_to_sheet converts an array of arrays of JS data to a worksheet.
  • json_to_sheet converts an array of JS objects to a worksheet.
  • table_to_sheet converts a DOM TABLE element to a worksheet.

Exporting:

  • sheet_to_json converts a worksheet object to an array of JSON objects.
  • sheet_to_csv generates delimiter-separated-values output.
  • sheet_to_html generates HTML output.
  • sheet_to_formulae generates a list of the formulae (with value fallbacks).

These utilities are described in Utility Functions below.

Cell and cell address manipulation:

  • format_cell generates the text value for a cell (using number formats)
  • {en,de}code_{row,col} convert between 0-indexed rows/cols and A1 forms.
  • {en,de}code_cell converts cell addresses
  • {en,de}code_range converts cell ranges

Utilities are described in the Utility Functions section.

Common Spreadsheet Format

js-xlsx conforms to the Common Spreadsheet Format (CSF):

General Structures

Cell address objects are stored as {c:C, r:R} where C and R are 0-indexed column and row numbers, respectively. For example, the cell address B5 is represented by the object {c:1, r:4}.

Cell range objects are stored as {s:S, e:E} where S is the first cell and E is the last cell in the range. The ranges are inclusive. For example, the range A3:B7 is represented by the object {s:{c:0, r:2}, e:{c:1, r:6}}. Utils use the following pattern to walk each of the cells in a range:

for(var R = range.s.r; R <= range.e.r; ++R) {
  for(var C = range.s.c; C <= range.e.c; ++C) {
    var cell_address = {c:C, r:R};
  }
}

Cell Object

Key Description
v raw value (see Data Types section for more info)
w formatted text (if applicable)
t cell type: b Boolean, n Number, e error, s String, d Date
f cell formula encoded as an A1-style string (if applicable)
F range of enclosing array if formula is array formula (if applicable)
r rich text encoding (if applicable)
h HTML rendering of the rich text (if applicable)
c comments associated with the cell
z number format string associated with the cell (if requested)
l cell hyperlink object (.Target holds link, .Tooltip is tooltip)
s the style/theme of the cell (if applicable)

Built-in export utilities (such as the CSV exporter) will use the w text if it is available. To change a value, be sure to delete cell.w (or set it to undefined) before attempting to export. The utilities will regenerate the w text from the number format (cell.z) and the raw value if possible.

The actual array formula is stored in the f field of the first cell in the array range. Other cells in the range will omit the f field.

Data Types

The raw value is stored in the v field, interpreted based on the t field.

Type b is the Boolean type. v is interpreted according to JS truth tables.

Type e is the Error type. v holds the number and w holds the common name:

Error values and interpretation (click to show)
Value Error Meaning
0x00 #NULL!
0x07 #DIV/0!
0x0F #VALUE!
0x17 #REF!
0x1D #NAME?
0x24 #NUM!
0x2A #N/A
0x2B #GETTING_DATA

Type n is the Number type. This includes all forms of data that Excel stores as numbers, such as dates/times and Boolean fields. Excel exclusively uses data that can be fit in an IEEE754 floating point number, just like JS Number, so the v field holds the raw number. The w field holds formatted text. Dates are stored as numbers by default and converted with XLSX.SSF.parse_date_code.

Type d is the Date type, generated only when the option cellDates is passed. Since JSON does not have a natural Date type, parsers are generally expected to store ISO 8601 Date strings like you would get from date.toISOString(). On the other hand, writers and exporters should be able to handle date strings and JS Date objects. Note that Excel disregards timezone modifiers and treats all dates in the local timezone. js-xlsx does not correct for this error.

Type s is the String type. v should be explicitly stored as a string to avoid possible confusion.

Type z represents blank stub cells. These do not have any data or type, and are not processed by any of the core library functions. By default these cells will not be generated; the parser sheetStubs option must be set to true.

Dates

Excel Date Code details (click to show)

By default, Excel stores dates as numbers with a format code that specifies date processing. For example, the date 19-Feb-17 is stored as the number 42785 with a number format of d-mmm-yy. The SSF module understands number formats and performs the appropriate conversion.

XLSX also supports a special date type d where the data is an ISO 8601 date string. The formatter converts the date back to a number.

The default behavior for all parsers is to generate number cells. Setting cellDates to true will force the generators to store dates.

Time Zones and Dates (click to show)

Excel has no native concept of universal time. All times are specified in the local time zone. Excel limitations prevent specifying true absolute dates.

Following Excel, this library treats all dates as relative to local time zone.

Epochs: 1900 and 1904 (click to show)

Excel supports two epochs (January 1 1900 and January 1 1904), see "1900 vs. 1904 Date System" article. The workbook's epoch can be determined by examining the workbook's wb.Workbook.WBProps.date1904 property:

!!(((wb.Workbook||{}).WBProps||{}).date1904)

Sheet Objects

Each key that does not start with ! maps to a cell (using A-1 notation)

sheet[address] returns the cell object for the specified address.

Special sheet keys (accessible as sheet[key], each starting with !):

  • sheet['!ref']: A-1 based range representing the sheet range. Functions that work with sheets should use this parameter to determine the range. Cells that are assigned outside of the range are not processed. In particular, when writing a sheet by hand, cells outside of the range are not included

    Functions that handle sheets should test for the presence of !ref field. If the !ref is omitted or is not a valid range, functions are free to treat the sheet as empty or attempt to guess the range. The standard utilities that ship with this library treat sheets as empty (for example, the CSV output is empty string).

    When reading a worksheet with the sheetRows property set, the ref parameter will use the restricted range. The original range is set at ws['!fullref']

  • sheet['!margins']: Object representing the page margins. The default values follow Excel's "normal" preset. Excel also has a "wide" and a "narrow" preset but they are stored as raw measurements. The main properties are listed below:

Page margin details (click to show)
key description "normal" "wide" "narrow"
left left margin (inches) 0.7 1.0 0.25
right right margin (inches) 0.7 1.0 0.25
top top margin (inches) 0.75 1.0 0.75
bottom bottom margin (inches) 0.75 1.0 0.75
header header margin (inches) 0.3 0.5 0.3
footer footer margin (inches) 0.3 0.5 0.3
/* Set worksheet sheet to "normal" */
sheet["!margins"] = { left:0.7, right:0.7, top:0.75, bottom:0.75, header:0.3, footer:0.3 }
/* Set worksheet sheet to "wide" */
sheet["!margins"] = { left:1.0, right:1.0, top:1.0, bottom:1.0, header:0.5, footer:0.5 }
/* Set worksheet sheet to "narrow" */
sheet["!margins"] = { left:0.25, right:0.25, top:0.75, bottom:0.75, header:0.3, footer:0.3 }

Worksheet Object

In addition to the base sheet keys, worksheets also add:

  • ws['!cols']: array of column properties objects. Column widths are actually stored in files in a normalized manner, measured in terms of the "Maximum Digit Width" (the largest width of the rendered digits 0-9, in pixels). When parsed, the column objects store the pixel width in the wpx field, character width in the wch field, and the maximum digit width in the MDW field.

  • ws['!rows']: array of row properties objects as explained later in the docs. Each row object encodes properties including row height and visibility.

  • ws['!merges']: array of range objects corresponding to the merged cells in the worksheet. Plaintext utilities are unaware of merge cells. CSV export will write all cells in the merge range if they exist, so be sure that only the first cell (upper-left) in the range is set.

  • ws['!protect']: object of write sheet protection properties. The password key specifies the password for formats that support password-protected sheets (XLSX/XLSB/XLS). The writer uses the XOR obfuscation method. The following keys control the sheet protection -- set to false to enable a feature when sheet is locked or set to true to disable a feature:

Worksheet Protection Details (click to show)
key feature (true=disabled / false=enabled) default
selectLockedCells Select locked cells enabled
selectUnlockedCells Select unlocked cells enabled
formatCells Format cells disabled
formatColumns Format columns disabled
formatRows Format rows disabled
insertColumns Insert columns disabled
insertRows Insert rows disabled
insertHyperlinks Insert hyperlinks disabled
deleteColumns Delete columns disabled
deleteRows Delete rows disabled
sort Sort disabled
autoFilter Filter disabled
pivotTables Use PivotTable reports disabled
objects Edit objects enabled
scenarios Edit scenarios enabled
  • ws['!autofilter']: AutoFilter object following the schema:
type AutoFilter = {
  ref:string; // A-1 based range representing the AutoFilter table range
}

Chartsheet Object

Chartsheets are represented as standard sheets. They are distinguished with the !type property set to "chart".

The underlying data and !ref refer to the cached data in the chartsheet. The first row of the chartsheet is the underlying header.

Workbook Object

workbook.SheetNames is an ordered list of the sheets in the workbook

wb.Sheets[sheetname] returns an object representing the worksheet.

wb.Props is an object storing the standard properties. wb.Custprops stores custom properties. Since the XLS standard properties deviate from the XLSX standard, XLS parsing stores core properties in both places.

wb.Workbook stores workbook-level attributes.

Workbook File Properties

The various file formats use different internal names for file properties. The workbook Props object normalizes the names:

File Properties (click to show)
JS Name Excel Description
Title Summary tab "Title"
Subject Summary tab "Subject"
Author Summary tab "Author"
Manager Summary tab "Manager"
Company Summary tab "Company"
Category Summary tab "Category"
Keywords Summary tab "Keywords"
Comments Summary tab "Comments"
LastAuthor Statistics tab "Last saved by"
CreatedDate Statistics tab "Created"

For example, to set the workbook title property:

if(!wb.Props) wb.Props = {};
wb.Props.Title = "Insert Title Here";

Custom properties are added in the workbook Custprops object:

if(!wb.Custprops) wb.Custprops = {};
wb.Custprops["Custom Property"] = "Custom Value";

Writers will process the Props key of the options object:

/* force the Author to be "SheetJS" */
XLSX.write(wb, {Props:{Author:"SheetJS"}});

Workbook-Level Attributes

wb.Workbook stores workbook-level attributes.

Defined Names

wb.Workbook.Names is an array of defined name objects which have the keys:

Defined Name Properties (click to show)
Key Description
Sheet Name scope. Sheet Index (0 = first sheet) or null (Workbook)
Name Case-sensitive name. Standard rules apply **
Ref A1-style Reference (e.g. "Sheet1!$A$1:$D$20")
Comment Comment (only applicable for XLS/XLSX/XLSB)

Excel allows two sheet-scoped defined names to share the same name. However, a sheet-scoped name cannot collide with a workbook-scope name. Workbook writers may not enforce this constraint.

Miscellaneous Workbook Properties

wb.Workbook.WBProps holds other workbook properties:

Key Description
date1904 epoch: 0/false for 1900 system, 1/true for 1904
filterPrivacy Warn or strip personally identifying info on save

Document Features

Even for basic features like date storage, the official Excel formats store the same content in different ways. The parsers are expected to convert from the underlying file format representation to the Common Spreadsheet Format. Writers are expected to convert from CSF back to the underlying file format.

Formulae

The A1-style formula string is stored in the f field. Even though different file formats store the formulae in different ways, the formats are translated. Even though some formats store formulae with a leading equal sign, CSF formulae do not start with =.

Representation of A1=1, A2=2, A3=A1+A2 (click to show)
{
    "!ref": "A1:A3",
    A1: { t:'n', v:1 },
    A2: { t:'n', v:2 },
    A3: { t:'n', v:3, f:'A1+A2' }
}

Shared formulae are decompressed and each cell has the formula corresponding to its cell. Writers generally do not attempt to generate shared formulae.

Cells with formula entries but no value will be serialized in a way that Excel and other spreadsheet tools will recognize. This library will not automatically compute formula results! For example, to compute BESSELJ in a worksheet:

Formula without known value (click to show)
{
    "!ref": "A1:A3",
    A1: { t:'n', v:3.14159 },
    A2: { t:'n', v:2 },
    A3: { t:'n', f:'BESSELJ(A1,A2)' }
}

Array Formulae

Array formulae are stored in the top-left cell of the array block. All cells of an array formula have a F field corresponding to the range. A single-cell formula can be distinguished from a plain formula by the presence of F field.

Array Formula examples (click to show)

For example, setting the cell C1 to the array formula {=SUM(A1:A3*B1:B3)}:

worksheet['C1'] = { t:'n', f: "SUM(A1:A3*B1:B3)", F:"C1:C1" };

For a multi-cell array formula, every cell has the same array range but only the first cell specifies the formula. Consider D1:D3=A1:A3*B1:B3:

worksheet['D1'] = { t:'n', F:"D1:D3", f:"A1:A3*B1:B3" };
worksheet['D2'] = { t:'n', F:"D1:D3" };
worksheet['D3'] = { t:'n', F:"D1:D3" };

Utilities and writers are expected to check for the presence of a F field and ignore any possible formula element f in cells other than the starting cell. They are not expected to perform validation of the formulae!

Formula Output Utility Function (click to show)

The sheet_to_formulae method generates one line per formula or array formula. Array formulae are rendered in the form range=formula while plain cells are rendered in the form cell=formula or value. Note that string literals are prefixed with an apostrophe ', consistent with Excel's formula bar display.

Formulae File Format Details (click to show)
Storage Representation Formats Read Write
A1-style strings XLSX ⭕️ ⭕️
RC-style strings XLML and plaintext ⭕️ ⭕️
BIFF Parsed formulae XLSB and all XLS formats ⭕️
OpenFormula formulae ODS/FODS/UOS ⭕️ ⭕️

Since Excel prohibits named cells from colliding with names of A1 or RC style cell references, a (not-so-simple) regex conversion is possible. BIFF Parsed formulae have to be explicitly unwound. OpenFormula formulae can be converted with regexes for the most part.

Column Properties

The !cols array in each worksheet, if present, is a collection of ColInfo objects which have the following properties:

type ColInfo = {
    /* visibility */
    hidden?: boolean; // if true, the column is hidden
 
    /* column width is specified in one of the following ways: */
    wpx?:    number;  // width in screen pixels
    width?:  number;  // width in Excel's "Max Digit Width", width*256 is integral
    wch?:    number;  // width in characters
 
    /* other fields for preserving features from files */
    MDW?:    number;  // Excel's "Max Digit Width" unit, always integral
};
Why are there three width types? (click to show)

There are three different width types corresponding to the three different ways spreadsheets store column widths:

SYLK and other plaintext formats use raw character count. Contemporaneous tools like Visicalc and Multiplan were character based. Since the characters had the same width, it sufficed to store a count. This tradition was continued into the BIFF formats.

SpreadsheetML (2003) tried to align with HTML by standardizing on screen pixel count throughout the file. Column widths, row heights, and other measures use pixels. When the pixel and character counts do not align, Excel rounds values.

XLSX internally stores column widths in a nebulous "Max Digit Width" form. The Max Digit Width is the width of the largest digit when rendered (generally the "0" character is the widest). The internal width must be an integer multiple of the the width divided by 256. ECMA-376 describes a formula for converting between pixels and the internal width. This represents a hybrid approach.

Read functions attempt to populate all three properties. Write functions will try to cycle specified values to the desired type. In order to avoid potential conflicts, manipulation should delete the other properties first. For example, when changing the pixel width, delete the wch and width properties.

Implementation details (click to show)

Given the constraints, it is possible to determine the MDW without actually inspecting the font! The parsers guess the pixel width by converting from width to pixels and back, repeating for all possible MDW and selecting the MDW that minimizes the error. XLML actually stores the pixel width, so the guess works in the opposite direction.

Even though all of the information is made available, writers are expected to follow the priority order:

  1. use width field if available
  2. use wpx pixel width if available
  3. use wch character count if available

Row Properties

The !rows array in each worksheet, if present, is a collection of RowInfo objects which have the following properties:

type RowInfo = {
    /* visibility */
    hidden?: boolean; // if true, the row is hidden
 
    /* row height is specified in one of the following ways: */
    hpx?:    number;  // height in screen pixels
    hpt?:    number;  // height in points
};
Implementation details (click to show)

Excel internally stores row heights in points. The default resolution is 72 DPI or 96 PPI, so the pixel and point size should agree. For different resolutions they may not agree, so the library separates the concepts.

Even though all of the information is made available, writers are expected to follow the priority order:

  1. use hpx pixel height if available
  2. use hpt point height if available

Number Formats

The cell.w formatted text for each cell is produced from cell.v and cell.z format. If the format is not specified, the Excel General format is used. The format can either be specified as a string or as an index into the format table. Parsers are expected to populate workbook.SSF with the number format table. Writers are expected to serialize the table.

Custom tools should ensure that the local table has each used format string somewhere in the table. Excel convention mandates that the custom formats start at index 164. The following example creates a custom format from scratch:

New worksheet with custom format (click to show)
var wb = {
    SheetNames: ["Sheet1"],
    Sheets: {
        Sheet1: {
            "!ref":"A1:C1",
            A1: { t:"n", v:10000 },                    // <-- General format 
            B1: { t:"n", v:10000, z: "0%" },           // <-- Builtin format 
            C1: { t:"n", v:10000, z: "\"T\"#0.00" }  // <-- Custom format 
        }
    }
}

The rules are slightly different from how Excel displays custom number formats. In particular, literal characters must be wrapped in double quotes or preceded by a backslash. For more info, see the Excel documentation article Create or delete a custom number format or ECMA-376 18.8.31 (Number Formats)

Default Number Formats (click to show)

The default formats are listed in ECMA-376 18.8.30:

ID Format
0 General
1 0
2 0.00
3 #,##0
4 #,##0.00
9 0%
10 0.00%
11 0.00E+00
12 # ?/?
13 # ??/??
14 m/d/yy (see below)
15 d-mmm-yy
16 d-mmm
17 mmm-yy
18 h:mm AM/PM
19 h:mm:ss AM/PM
20 h:mm
21 h:mm:ss
22 m/d/yy h:mm
37 #,##0 ;(#,##0)
38 #,##0 ;[Red](#,##0)
39 #,##0.00;(#,##0.00)
40 #,##0.00;[Red](#,##0.00)
45 mm:ss
46 [h]:mm:ss
47 mmss.0
48 ##0.0E+0
49 @

Format 14 (m/d/yy) is localized by Excel: even though the file specifies that number format, it will be drawn differently based on system settings. It makes sense when the producer and consumer of files are in the same locale, but that is not always the case over the Internet. To get around this ambiguity, parse functions accept the dateNF option to override the interpretation of that specific format string.

Hyperlinks

Hyperlinks are stored in the l key of cell objects. The Target field of the hyperlink object is the target of the link, including the URI fragment. Tooltips are stored in the Tooltip field and are displayed when you move your mouse over the text.

For example, the following snippet creates a link from cell A3 to http://sheetjs.com with the tip "Find us @ SheetJS.com!":

ws['A3'].l = { Target:"http://sheetjs.com", Tooltip:"Find us @ SheetJS.com!" };

Note that Excel does not automatically style hyperlinks -- they will generally be displayed as normal text.

Cell Comments

Cell comments are objects stored in the c array of cell objects. The actual contents of the comment are split into blocks based on the comment author. The a field of each comment object is the author of the comment and the t field is the plaintext representation.

For example, the following snippet appends a cell comment into cell A1:

if(!ws.A1.c) ws.A1.c = [];
ws.A1.c.push({a:"SheetJS", t:"I'm a little comment, short and stout!"});

Note: XLSB enforces a 54 character limit on the Author name. Names longer than 54 characters may cause issues with other formats.

Sheet Visibility

Excel enables hiding sheets in the lower tab bar. The sheet data is stored in the file but the UI does not readily make it available. Standard hidden sheets are revealed in the unhide menu. Excel also has "very hidden" sheets which cannot be revealed in the menu. It is only accessible in the VB Editor!

The visibility setting is stored in the Hidden property of sheet props array.

More details (click to show)
Value Definition
0 Visible
1 Hidden
2 Very Hidden

With https://rawgit.com/SheetJS/test_files/master/sheet_visibility.xlsx:

> wb.Workbook.Sheets.map(function(x) { return [x.name, x.Hidden] })
[ [ 'Visible', 0 ], [ 'Hidden', 1 ], [ 'VeryHidden', 2 ] ]

Non-Excel formats do not support the Very Hidden state. The best way to test if a sheet is visible is to check if the Hidden property is logical truth:

> wb.Workbook.Sheets.map(function(x) { return [x.name, !x.Hidden] })
[ [ 'Visible', true ], [ 'Hidden', false ], [ 'VeryHidden', false ] ]

Parsing Options

The exported read and readFile functions accept an options argument:

Option Name Default Description
type Input data encoding (see Input Type below)
cellFormula true Save formulae to the .f field
cellHTML true Parse rich text and save HTML to the .h field
cellNF false Save number format string to the .z field
cellStyles false Save style/theme info to the .s field
cellText true Generated formatted text to the .w field
cellDates false Store dates as type d (default is n)
dateNF If specified, use the string for date code 14 **
sheetStubs false Create cell objects of type z for stub cells
sheetRows 0 If >0, read the first sheetRows rows **
bookDeps false If true, parse calculation chains
bookFiles false If true, add raw files to book object **
bookProps false If true, only parse enough to get book metadata **
bookSheets false If true, only parse enough to get the sheet names
bookVBA false If true, expose vbaProject.bin to vbaraw field **
password "" If defined and file is encrypted, use password **
WTF false If true, throw errors on unexpected file features **
  • Even if cellNF is false, formatted text will be generated and saved to .w
  • In some cases, sheets may be parsed even if bookSheets is false.
  • bookSheets and bookProps combine to give both sets of information
  • Deps will be an empty object if bookDeps is falsy
  • bookFiles behavior depends on file type:
    • keys array (paths in the ZIP) for ZIP-based formats
    • files hash (mapping paths to objects representing the files) for ZIP
    • cfb object for formats using CFB containers
  • sheetRows-1 rows will be generated when looking at the JSON object output (since the header row is counted as a row when parsing the data)
  • bookVBA merely exposes the raw vba object. It does not parse the data.
  • Currently only XOR encryption is supported. Unsupported error will be thrown for files employing other encryption methods.
  • WTF is mainly for development. By default, the parser will suppress read errors on single worksheets, allowing you to read from the worksheets that do parse properly. Setting WTF:1 forces those errors to be thrown.

Input Type

Strings can be interpreted in multiple ways. The type parameter for read tells the library how to parse the data argument:

type expected input
"base64" string: base64 encoding of the file
"binary" string: binary string (n-th byte is data.charCodeAt(n))
"buffer" nodejs Buffer
"array" array: array of 8-bit unsigned int (n-th byte is data[n])
"file" string: filename that will be read and processed (nodejs only)

Guessing File Type

Implementation Details (click to show)

Excel and other spreadsheet tools read the first few bytes and apply other heuristics to determine a file type. This enables file type punning: renaming files with the .xls extension will tell your computer to use Excel to open the file but Excel will know how to handle it. This library applies similar logic:

Byte 0 Raw File Type Spreadsheet Types
0xD0 CFB Container BIFF 5/8 or password-protected XLSX/XLSB or WQ3/QPW
0x09 BIFF Stream BIFF 2/3/4/5
0x3C XML/HTML SpreadsheetML / Flat ODS / UOS1 / HTML / plaintext
0x50 ZIP Archive XLSB or XLSX/M or ODS or UOS2 or plaintext
0x49 Plain Text SYLK or plaintext
0x54 Plain Text DIF or plaintext
0xFE UTF16 Encoded SpreadsheetML or Flat ODS or UOS1 or plaintext
0x00 Record Stream Lotus WK* or Quattro Pro or plaintext

DBF files are detected based on the first byte as well as the third and fourth bytes (corresponding to month and day of the file date)

Plaintext format guessing follows the priority order:

Format Test
HTML starts with <html
XML starts with <
DSV starts with /sep=.$/, separator is the specified character
TSV one of the first 1024 characters is a tab char "\t"
CSV one of the first 1024 characters is a comma char ","
PRN (default)
Why are random text files valid? (click to show)

Excel is extremely aggressive in reading files. Adding an XLS extension to any display text file (where the only characters are ANSI display chars) tricks Excel into thinking that the file is potentially a CSV or TSV file, even if it is only one column! This library attempts to replicate that behavior.

The best approach is to validate the desired worksheet and ensure it has the expected number of rows or columns. Extracting the range is extremely simple:

var range = XLSX.utils.decode_range(worksheet['!ref']);
var ncols = range.e.c - range.r.c + 1, nrows = range.e.r - range.s.r + 1;

Writing Options

The exported write and writeFile functions accept an options argument:

Option Name Default Description
type Output data encoding (see Output Type below)
cellDates false Store dates as type d (default is n)
bookSST false Generate Shared String Table **
bookType "xlsx" Type of Workbook (see below for supported formats)
sheet "" Name of Worksheet for single-sheet formats **
compression false Use ZIP compression for ZIP-based formats **
Props Override workbook properties when writing **
themeXLSX Override theme XML when writing XLSX/XLSB/XLSM **
  • bookSST is slower and more memory intensive, but has better compatibility with older versions of iOS Numbers
  • The raw data is the only thing guaranteed to be saved. Features not described in this README may not be serialized.
  • cellDates only applies to XLSX output and is not guaranteed to work with third-party readers. Excel itself does not usually write cells with type d so non-Excel tools may ignore the data or blow up in the presence of dates.
  • Props is an object mirroring the workbook Props field. See the table from the Workbook File Properties section.
  • if specified, the string from themeXLSX will be saved as the primary theme for XLSX/XLSB/XLSM files (to xl/theme/theme1.xml in the ZIP)

Supported Output Formats

For broad compatibility with third-party tools, this library supports many output formats. The specific file type is controlled with bookType option:

bookType file ext container sheets Description
xlsx .xlsx ZIP multi Excel 2007+ XML Format
xlsm .xlsm ZIP multi Excel 2007+ Macro XML Format
xlsb .xlsb ZIP multi Excel 2007+ Binary Format
biff2 .xls none single Excel 2.0 Worksheet format
xlml .xls none multi Excel 2003-2004 (SpreadsheetML)
ods .ods ZIP multi OpenDocument Spreadsheet
fods .fods none multi Flat OpenDocument Spreadsheet
csv .csv none single Comma Separated Values
txt .txt none single UTF-16 Unicode Text (TXT)
sylk .sylk none single Symbolic Link (SYLK)
html .html none single HTML Document
dif .dif none single Data Interchange Format (DIF)
prn .prn none single Lotus Formatted Text
  • compression only applies to formats with ZIP containers.
  • Formats that only support a single sheet require a sheet option specifying the worksheet. If the string is empty, the first worksheet is used.
  • writeFile will automatically guess the output file format based on the file extension if bookType is not specified. It will choose the first format in the aforementioned table that matches the extension.

Output Type

The type argument for write mirrors the type argument for read:

type output
"base64" string: base64 encoding of the file
"binary" string: binary string (n-th byte is data.charCodeAt(n))
"buffer" nodejs Buffer
"file" string: name of file to be written (nodejs only)

Utility Functions

The sheet_to_* functions accept a worksheet and an optional options object.

The *_to_sheet functions accept a data object and an optional options object.

The examples are based on the following worksheet:

XXX| A | B | C | D | E | F | G |
---+---+---+---+---+---+---+---+
 1 | S | h | e | e | t | J | S |
 2 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
 3 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |

Array of Arrays Input

XLSX.utils.aoa_to_sheet takes an array of arrays of JS values and returns a worksheet resembling the input data. Numbers, Booleans and Strings are stored as the corresponding styles. Dates are stored as date or numbers. Array holes and explicit undefined values are skipped. null values may be stubbed. All other values are stored as strings. The function takes an options argument:

Option Name Default Description
dateNF fmt 14 Use specified date format in string output
cellDates false Store dates as type d (default is n)
sheetStubs false Create cell objects of type z for null values
Examples (click to show)

To generate the example sheet:

var ws = XLSX.utils.aoa_to_sheet([
    "SheetJS".split(""),
    [1,2,3,4,5,6,7],
    [2,3,4,5,6,7,8]
]);

Array of Objects Input

XLSX.utils.json_to_sheet takes an array of objects and returns a worksheet with automatically-generated "headers" based on the keys of the objects.

Examples (click to show)

The original sheet cannot be reproduced because JS object keys must be unique. After replacing the second e and S with e_1 and S_1:

var ws = XLSX.utils.json_to_sheet([
    {S:1,h:2,e:3,e_1:4,t:5,J:6,S_1:7},
    {S:2,h:3,e:4,e_1:5,t:6,J:7,S_1:8}
]);

HTML Table Input

XLSX.utils.table_to_sheet takes a table DOM element and returns a worksheet resembling the input table. Numbers are parsed. All other data will be stored as strings.

XLSX.utils.table_to_book produces a minimal workbook based on the worksheet.

Examples (click to show)

To generate the example sheet, start with the HTML table:

<table id="sheetjs">
<tr><td>S</td><td>h</td><td>e</td><td>e</td><td>t</td><td>J</td><td>S</td></tr>
<tr><td>1</td><td>2</td><td>3</td><td>4</td><td>5</td><td>6</td><td>7</td></tr>
<tr><td>2</td><td>3</td><td>4</td><td>5</td><td>6</td><td>7</td><td>8</td></tr>
</table>

To process the table:

var tbl = document.getElementById('sheetjs');
var wb = XLSX.utils.table_to_book(tbl);

Note: XLSX.read can handle HTML represented as strings.

Formulae Output

XLSX.utils.sheet_to_formulae generates an array of commands that represent how a person would enter data into an application. Each entry is of the form A1-cell-address=formula-or-value. String literals are prefixed with a ' in accordance with Excel.

Examples (click to show)

For the example sheet:

> var o = XLSX.utils.sheet_to_formulae(ws);
> o.filter(function(v, i) { return i % 5 === 0; });
[ 'A1=\'S', 'F1=\'J', 'D2=4', 'B3=3', 'G3=8' ]

Delimiter-Separated Output

As an alternative to the writeFile CSV type, XLSX.utils.sheet_to_csv also produces CSV output. The function takes an options argument:

Option Name Default Description
FS "," "Field Separator" delimiter between fields
RS "\n" "Record Separator" delimiter between rows
dateNF fmt 14 Use specified date format in string output
strip false Remove trailing field separators in each record **
blankrows true Include blank lines in the CSV output
  • strip will remove trailing commas from each line under default FS/RS
  • blankrows must be set to false to skip blank lines.
Examples (click to show)

For the example sheet:

> console.log(XLSX.utils.sheet_to_csv(ws));
S,h,e,e,t,J,S
1,2,3,4,5,6,7
2,3,4,5,6,7,8
> console.log(XLSX.utils.sheet_to_csv(ws, {FS:"\t"}));
S h e e t J S
1 2 3 4 5 6 7
2 3 4 5 6 7 8
> console.log(XLSX.utils.sheet_to_csv(ws,{FS:":",RS:"|"}));
S:h:e:e:t:J:S|1:2:3:4:5:6:7|2:3:4:5:6:7:8|

UTF-16 Unicode Text

The txt output type uses the tab character as the field separator. If the codepage library is available (included in the full distribution but not core), the output will be encoded in codepage 1200 and the BOM will be prepended.

HTML Output

As an alternative to the writeFile HTML type, XLSX.utils.sheet_to_html also produces HTML output. The function takes an options argument:

Option Name Default Description
editable false If true, set contenteditable="true" for every TD
header Override header (default html body)
footer Override footer (default /body /html)
Examples (click to show)

For the example sheet:

> console.log(XLSX.utils.sheet_to_html(ws));
// ... 

JSON

XLSX.utils.sheet_to_json generates different types of JS objects. The function takes an options argument:

Option Name Default Description
raw false Use raw values (true) or formatted strings (false)
range from WS Override Range (see table below)
header Control output format (see table below)
dateNF fmt 14 Use specified date format in string output
defval Use specified value in place of null or undefined
blankrows ** Include blank lines in the output **
  • raw only affects cells which have a format code (.z) field or a formatted text (.w) field.
  • If header is specified, the first row is considered a data row; if header is not specified, the first row is the header row and not considered data.
  • When header is not specified, the conversion will automatically disambiguate header entries by affixing _ and a count starting at 1. For example, if three columns have header foo the output fields are foo, foo_1, foo_2
  • null values are returned when raw is true but are skipped when false.
  • If defval is not specified, null and undefined values are skipped normally. If specified, all null and undefined points will be filled with defval
  • When header is 1, the default is to generate blank rows. blankrows must be set to false to skip blank rows.
  • When header is not 1, the default is to skip blank rows. blankrows must be truthy to generate blank rows

range is expected to be one of:

range Description
(number) Use worksheet range but set starting row to the value
(string) Use specified range (A1-style bounded range string)
(default) Use worksheet range (ws['!ref'])

header is expected to be one of:

header Description
1 Generate an array of arrays ("2D Array")
"A" Row object keys are literal column labels
array of strings Use specified strings as keys in row objects
(default) Read and disambiguate first row as keys

If header is not 1, the row object will contain the non-enumerable property __rowNum__ that represents the row of the sheet corresponding to the entry.

Examples (click to show)

For the example sheet:

> console.log(XLSX.utils.sheet_to_json(ws));
[ { S: 1, h: 2, e: 3, e_1: 4, t: 5, J: 6, S_1: 7 },
  { S: 2, h: 3, e: 4, e_1: 5, t: 6, J: 7, S_1: 8 } ]
 
> console.log(XLSX.utils.sheet_to_json(ws, {header:1}));
[ [ 'S', 'h', 'e', 'e', 't', 'J', 'S' ],
  [ '1', '2', '3', '4', '5', '6', '7' ],
  [ '2', '3', '4', '5', '6', '7', '8' ] ]
 
> console.log(XLSX.utils.sheet_to_json(ws, {header:"A"}));
[ { A: 'S', B: 'h', C: 'e', D: 'e', E: 't', F: 'J', G: 'S' },
  { A: '1', B: '2', C: '3', D: '4', E: '5', F: '6', G: '7' },
  { A: '2', B: '3', C: '4', D: '5', E: '6', F: '7', G: '8' } ]
> console.log(XLSX.utils.sheet_to_json(ws, {header:["A","E","I","O","U","6","9"]}));
[ { '6': 'J', '9': 'S', A: 'S', E: 'h', I: 'e', O: 'e', U: 't' },
  { '6': '6', '9': '7', A: '1', E: '2', I: '3', O: '4', U: '5' },
  { '6': '7', '9': '8', A: '2', E: '3', I: '4', O: '5', U: '6' } ]

Example showing the effect of raw:

> ws['A2'].w = "3";                          // set A2 formatted string value 
> console.log(XLSX.utils.sheet_to_json(ws, {header:1}));
[ [ 'S', 'h', 'e', 'e', 't', 'J', 'S' ],
  [ '3', '2', '3', '4', '5', '6', '7' ],     // <-- A2 uses the formatted string 
  [ '2', '3', '4', '5', '6', '7', '8' ] ]
> console.log(XLSX.utils.sheet_to_json(ws, {header:1, raw:true}));
[ [ 'S', 'h', 'e', 'e', 't', 'J', 'S' ],
  [ 1, 2, 3, 4, 5, 6, 7 ],                   // <-- A2 uses the raw value 
  [ 2, 3, 4, 5, 6, 7, 8 ] ]

File Formats

Despite the library name xlsx, it supports numerous spreadsheet file formats:

Format Read Write
Excel Worksheet/Workbook Formats :-----: :-----:
Excel 2007+ XML Formats (XLSX/XLSM) ⭕️ ⭕️
Excel 2007+ Binary Format (XLSB BIFF12) ⭕️ ⭕️
Excel 2003-2004 XML Format (XML "SpreadsheetML") ⭕️ ⭕️
Excel 97-2004 (XLS BIFF8) ⭕️
Excel 5.0/95 (XLS BIFF5) ⭕️
Excel 4.0 (XLS/XLW BIFF4) ⭕️
Excel 3.0 (XLS BIFF3) ⭕️
Excel 2.0/2.1 (XLS BIFF2) ⭕️ ⭕️
Excel Supported Text Formats :-----: :-----:
Delimiter-Separated Values (CSV/TXT) ⭕️ ⭕️
Data Interchange Format (DIF) ⭕️ ⭕️
Symbolic Link (SYLK/SLK) ⭕️ ⭕️
Lotus Formatted Text (PRN) ⭕️ ⭕️
UTF-16 Unicode Text (TXT) ⭕️ ⭕️
Other Workbook/Worksheet Formats :-----: :-----:
OpenDocument Spreadsheet (ODS) ⭕️ ⭕️
Flat XML ODF Spreadsheet (FODS) ⭕️ ⭕️
Uniform Office Format Spreadsheet (标文通 UOS1/UOS2) ⭕️
dBASE II/III/IV / Visual FoxPro (DBF) ⭕️
Lotus 1-2-3 (WKS/WK1/WK2/WK3/WK4/123) ⭕️
Quattro Pro Spreadsheet (WQ1/WQ2/WB1/WB2/WB3/QPW) ⭕️
Other Common Spreadsheet Output Formats :-----: :-----:
HTML Tables ⭕️ ⭕️

Excel 2007+ XML (XLSX/XLSM)

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XLSX and XLSM files are ZIP containers containing a series of XML files in accordance with the Open Packaging Conventions (OPC). The XLSM filetype, almost identical to XLSX, is used for files containing macros.

The format is standardized in ECMA-376 and later in ISO/IEC 29500. Excel does not follow the specification, and there are additional documents discussing how Excel deviates from the specification.

Excel 2.0-95 (BIFF2/BIFF3/BIFF4/BIFF5)

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BIFF 2/3 XLS are single-sheet streams of binary records. Excel 4 introduced the concept of a workbook (XLW files) but also had single-sheet XLS format. The structure is largely similar to the Lotus 1-2-3 file formats. BIFF5/8/12 extended the format in various ways but largely stuck to the same record format.

There is no official specification for any of these formats. Excel 95 can write files in these formats, so record lengths and fields were backsolved by writing in all of the supported formats and comparing files. Excel 2016 can generate BIFF5 files, enabling a full suite of file tests starting from XLSX or BIFF2.

Excel 97-2004 Binary (BIFF8)

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BIFF8 exclusively uses the Compound File Binary container format, splitting some content into streams within the file. At its core, it still uses an extended version of the binary record format from older versions of BIFF.

The MS-XLS specification covers the basics of the file format, and other specifications expand on serialization of features like properties.

Excel 2003-2004 (SpreadsheetML)

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Predating XLSX, SpreadsheetML files are simple XML files. There is no official and comprehensive specification, although MS has released whitepapers on the format. Since Excel 2016 can generate SpreadsheetML files, backsolving is pretty straightforward.

Excel 2007+ Binary (XLSB, BIFF12)

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Introduced in parallel with XLSX, the XLSB filetype combines BIFF architecture with the content separation and ZIP container of XLSX. For the most part nodes in an XLSX sub-file can be mapped to XLSB records in a corresponding sub-file.

The MS-XLSB specification covers the basics of the file format, and other specifications expand on serialization of features like properties.

Delimiter-Separated Values (CSV/TXT)

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Excel CSV deviates from RFC4180 in a number of important ways. The generated CSV files should generally work in Excel although they may not work in RFC4180 compatible readers. The parser should generally understand Excel CSV. The writer proactively generates cells for formulae if values are unavailable.

Excel TXT uses tab as the delimiter and codepage 1200.

Other Workbook Formats

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Support for other formats is generally far XLS/XLSB/XLSX support, due in large part to a lack of publicly available documentation. Test files were produced in the respective apps and compared to their XLS exports to determine structure. The main focus is data extraction.

Lotus 1-2-3 (WKS/WK1/WK2/WK3/WK4/123)

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The Lotus formats consist of binary records similar to the BIFF structure. Lotus did release a whitepaper decades ago covering the original WK1 format. Other features were deduced by producing files and comparing to Excel support.

Quattro Pro (WQ1/WQ2/WB1/WB2/WB3/QPW)

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The Quattro Pro formats use binary records in the same way as BIFF and Lotus. Some of the newer formats (namely WB3 and QPW) use a CFB enclosure just like BIFF8 XLS.

OpenDocument Spreadsheet (ODS/FODS)

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ODS is an XML-in-ZIP format akin to XLSX while FODS is an XML format akin to SpreadsheetML. Both are detailed in the OASIS standard, but tools like LO/OO add undocumented extensions. The parsers and writers do not implement the full standard, instead focusing on parts necessary to extract and store raw data.

Uniform Office Spreadsheet (UOS1/2)

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UOS is a very similar format, and it comes in 2 varieties corresponding to ODS and FODS respectively. For the most part, the difference between the formats lies in the names of tags and attributes.

Other Single-Worksheet Formats

Many older formats supported only one worksheet:

dBASE and Visual FoxPro (DBF)

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DBF is really a typed table format: each column can only hold one data type and each record omits type information. The parser generates a header row and inserts records starting at the second row of the worksheet.

Multi-file extensions like external memos and tables are currently unsupported, limited by the general ability to read arbitrary files in the web browser.

Symbolic Link (SYLK)

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There is no real documentation. All knowledge was gathered by saving files in various versions of Excel to deduce the meaning of fields. Notes:

  • Plain formulae are stored in the RC form.
  • Column widths are rounded to integral characters.

Lotus Formatted Text (PRN)

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There is no real documentation, and in fact Excel treats PRN as an output-only file format. Nevertheless we can guess the column widths and reverse-engineer the original layout. Excel's 240-character width limitation is not enforced.

Data Interchange Format (DIF)

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There is no unified definition. Visicalc DIF differs from Lotus DIF, and both differ from Excel DIF. Where ambiguous, the parser/writer follows the expected behavior from Excel. In particular, Excel extends DIF in incompatible ways:

  • Since Excel automatically converts numbers-as-strings to numbers, numeric string constants are converted to formulae: "0.3" -> "=""0.3""
  • DIF technically expects numeric cells to hold the raw numeric data, but Excel permits formatted numbers (including dates)
  • DIF technically has no support for formulae, but Excel will automatically convert plain formulae. Array formulae are not preserved.

HTML

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Excel HTML worksheets include special metadata encoded in styles. For example, mso-number-format is a localized string containing the number format. Despite the metadata the output is valid HTML, although it does accept bare & symbols.

Testing

Node

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make test will run the node-based tests. By default it runs tests on files in every supported format. To test a specific file type, set FMTS to the format you want to test. Feature-specific tests are avaialble with make test_misc

$ make test_misc   # run core tests
$ make test        # run full tests
$ make test_xls    # only use the XLS test files
$ make test_xlsx   # only use the XLSX test files
$ make test_xlsb   # only use the XLSB test files
$ make test_xml    # only use the XML test files
$ make test_ods    # only use the ODS test files

To enable all errors, set the environment variable WTF=1:

$ make test        # run full tests
$ WTF=1 make test  # enable all error messages

Flow and eslint checks are available:

$ make lint        # eslint checks
$ make flow        # make lint + Flow checking

Browser

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The core in-browser tests are available at tests/index.html within this repo. Start a local server and navigate to that directory to run the tests. make ctestserv will start a server on port 8000.

make ctest will generate the browser fixtures. To add more files, edit the tests/fixtures.lst file and add the paths.

To run the full in-browser tests, clone the repo for oss.sheetjs.com and replace the xlsx.js file (then fire up the browser and go to stress.html):

$ cp xlsx.js ../SheetJS.github.io
$ cd ../SheetJS.github.io
$ simplehttpserver # or "python -mSimpleHTTPServer" or "serve"
$ open -a Chromium.app http://localhost:8000/stress.html

Tested Environments

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  • NodeJS 0.8, 0.9, 0.10, 0.11, 0.12, 4.x, 5.x, 6.x, 7.x
  • IE 6/7/8/9/10/11 (IE6-9 browsers require shims for interacting with client)
  • Chrome 24+
  • Safari 6+
  • FF 18+

Tests utilize the mocha testing framework. Travis-CI and Sauce Labs links:

Test Files

Test files are housed in another repo.

Running make init will refresh the test_files submodule and get the files. Note that this requires svn, git, hg and other commands that may not be available. If make init fails, please download the latest version of the test files snapshot from the repo

Latest Snapshot (click to show)

Latest test files snapshot: http://github.com/SheetJS/test_files/releases/download/20170409/test_files.zip

(download and unzip to the test_files subdirectory)

Contributing

Due to the precarious nature of the Open Specifications Promise, it is very important to ensure code is cleanroom. Consult CONTRIBUTING.md

File organization (click to show)

At a high level, the final script is a concatenation of the individual files in the bits folder. Running make should reproduce the final output on all platforms. The README is similarly split into bits in the docbits folder.

Folders:

folder contents
bits raw source files that make up the final script
docbits raw markdown files that make up README.md
bin server-side bin scripts (xlsx.njs)
dist dist files for web browsers and nonstandard JS environments
demos demo projects for platforms like ExtendScript and Webpack
tests browser tests (run make ctest to rebuild)
types typescript definitions and tests
misc miscellaneous supporting scripts
test_files test files (pulled from the test files repository)

After cloning the repo, running make help will display a list of commands.

OSX/Linux

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The xlsx.js file is constructed from the files in the bits subdirectory. The build script (run make) will concatenate the individual bits to produce the script. Before submitting a contribution, ensure that running make will produce the xlsx.js file exactly. The simplest way to test is to add the script:

$ git add xlsx.js
$ make clean
$ make
$ git diff xlsx.js

To produce the dist files, run make dist. The dist files are updated in each version release and should not be committed between versions.

Windows

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The included make.cmd script will build xlsx.js from the bits directory. Building is as simple as:

> make

To prepare dev environment:

> make init

The full list of commands available in Windows are displayed in make help:

make init -- install deps and global modules
make lint -- run eslint linter
make test -- run mocha test suite
make misc -- run smaller test suite
make book -- rebuild README and summary
make help -- display this message

Tests

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The test_misc target (make test_misc on Linux/OSX / make misc on Windows) runs the targeted feature tests. It should take 5-10 seconds to perform feature tests without testing against the entire test battery. New features should be accompanied with tests for the relevant file formats and features.

For tests involving the read side, an appropriate feature test would involve reading an existing file and checking the resulting workbook object. If a parameter is involved, files should be read with different values for the param to verify that the feature is working as expected.

For tests involving a new write feature which can already be parsed, appropriate feature tests would involve writing a workbook with the feature and then opening and verifying that the feature is preserved.

For tests involving a new write feature without an existing read ability, please add a feature test to the kitchen sink tests/write.js.

License

Please consult the attached LICENSE file for details. All rights not explicitly granted by the Apache 2.0 License are reserved by the Original Author.

References

OSP-covered Specifications (click to show)
  • [MS-XLSB]: Excel (.xlsb) Binary File Format
  • [MS-XLSX]: Excel (.xlsx) Extensions to the Office Open XML SpreadsheetML File Format
  • [MS-XLS]: Excel Binary File Format (.xls) Structure Specification
  • [MS-OLEDS]: Object Linking and Embedding (OLE) Data Structures
  • [MS-OLEPS]: Object Linking and Embedding (OLE) Property Set Data Structures
  • ISO/IEC 29500:2012(E) "Information technology — Document description and processing languages — Office Open XML File Formats"
  • Open Document Format for Office Applications Version 1.2 (29 September 2011)
  • Worksheet File Format (From Lotus) December 1984