nnocr
TypeScript icon, indicating that this package has built-in type declarations

0.3.6 • Public • Published

Build Status Coverage

node-native-ocr

The native Node.js bindings to the Tesseract OCR project using N-API and node-addon-api.

Benefits:

  • Avoid spawning tesseract command line.
  • Asynchronous I/O: Image reading and processing in insulated event loop backed by libuv.
  • Support to read image data from JavaScript buffers.

Contributions are welcome.

Install

Via npm:

$ npm install node-native-ocr

Usage

Recognize an Image Buffer

import { recognize } from "node-native-ocr";

import fs from "fs-extra";

const filepath = path.join(
  __dirname,
  "test",
  "fixtures",
  "node-native-ocr.jpg"
);

fs.readFile(filepath).then(recognize).then(console.log); // 'node-native-ocr'

recognize(image [, options])

  • image Buffer the content buffer of the image file.
  • options node-native-ocrOptions= optional

Returns Promise.<String> the recognized text if succeeded.

node-native-ocrOptions Object

{
  // @type `(String|Array.<String>)=eng`,
  //
  // Specifies language(s) used for OCR.
  //   Run `tesseract --list-langs` in command line for all supported languages.
  //   Defaults to `'eng'`.
  //
  // To specify multiple languages, use an array.
  //   English and Simplified Chinese, for example:
  // ```
  // lang: ['eng', 'chi_sim']
  // ```
  lang: "eng";
}

Promise.reject(error)

  • error Error The JavaScript Error instance
    • code String Error code.
    • message String Error message.
    • other properties of Error.

code: ERR_READ_IMAGE

Rejects if it fails to read image data from file or buffer.

code: ERR_INIT_TESSER

Rejects if tesseract fails to initialize

Example of Using with Electron

// For details of `mainWindow: BrowserWindow`, see
// https://github.com/electron/electron/blob/master/docs/api/browser-window.md
mainWindow.capturePage(
  {
    x: 10,
    y: 10,
    width: 100,
    height: 10,
  },
  (data) => {
    const appPath = (electron.app || electron.remote.app).getAppPath();
    const tessdataPath = path.resolve(appPath, ocrPackagePath, "tessdata");
    recognize(data.toPNG(), {
      lang: ["eng", "ita"],
      // output can be 'tsv' or 'txt'
      output: "txt",
      tessdataPath,
    }).then(console.log);
  }
);

Compiling Troubles

For Mac OS users, if you are experiencing trouble when compiling, run the following command:

$ xcode-select --install

will resolve most problems.

Warnings:

xcode-select: error: tool 'xcodebuild' requires Xcode, but active developer directory '/Library/Developer/CommandLineTools' is a command line tools instance

resolver:

$ sudo xcode-select -s /Applications/Xcode.app/Contents/Developer

Why another node OCR package?

After doing a lot of research and trying to compile other node OCR packages for electron without success, I decided to create my own. Based on N-API, which would save me from a lot of trouble. Now it is used in Repeato, a low-code mobile app testing tool which works based on Computer Visions. Node-native-ocr enables Repeato to do text recognition and text assertions on Android and iOS and acrross all platforms such as React Native, Flutter or Unity.

Let me know about your projects too, and I can add them here to the list!

TSV format description

If you set the output option to 'tsv', you will get a table of data, cells separated by tabs. Since I had a hard time finding the format for it, I will paste it here: This is the original reference: https://www.tomrochette.com/tesseract-tsv-format

There are 12 columns in the table:

  1. level: hierarchical layout (a word is in a line, which is in a paragraph, which is in a block, which is in a page), a value from 1 to 5
    • 1: page
    • 2: block
    • 3: paragraph
    • 4: line
    • 5: word
  2. page_num: when provided with a list of images, indicates the number of the file, when provided with a multi-pages document, indicates the page number, starting from 1
  3. block_num: block number within the page, starting from 0
  4. par_num: paragraph number within the block, starting from 0
  5. line_num: line number within the paragraph, starting from 0
  6. word_num: word number within the line, starting from 0
  7. left: x coordinate in pixels of the text bounding box top left corner, starting from the left of the image
  8. top: y coordinate in pixels of the text bounding box top left corner, starting from the top of the image
  9. width: width of the text bounding box in pixels
  10. height: height of the text bounding box in pixels
  11. conf: confidence value, from 0 (no confidence) to 100 (maximum confidence), -1 for all level except 5
  12. text: detected text, empty for all levels except 5

Development notes

To build the node-native-ocr project for testing, navigate into the node-native-ocr directory and exec npm run install

I had problems with some node versions. A version which definitelly worked for me was v11.15.0. After changing the code, and rebuilding the project, just run npm run test

License

MIT

Package Sidebar

Install

npm i nnocr

Weekly Downloads

0

Version

0.3.6

License

MIT

Unpacked Size

81.9 MB

Total Files

23

Last publish

Collaborators

  • s1hofmann