National Preventative Mechanism


    1.0.15 • Public • Published

    Node Typescript OCR

    License Current Version npm

    A simple wrapper around command-line utils to assist in PDF / Image OCR (Optical Character Recognition) processing using Tesseract.

    Test Coverage

    Coverage lines Coverage functions Coverage branches Coverage statements


    npm install node-ts-ocr --save


    After installing node.ts.ocr, the following binaries need to be on your system, as well as in the paths in your environment settings.

    PDF To Text & PDF Info

    Many PDF's already have plain text embedded in them, either because they were born-digital (i.e. created from a word processing document) or because OCR was already performed on them. If we are able to extract the text using this utility we do not need to perform image conversion and subsequently OCR.


    pdftotext & pdfinfo are included as part of the xpdf utilities library.

    brew install xpdf


    pdftotext & pdfinfo are included in the poppler-utils library.

    sudo apt-get install poppler-utils

    CLI Example

    Attempt to extract the text from a PDF:

    pdftotext /path/to/document.pdf output.txt

    ImageMagick & Ghostscript

    A PDF is a jumble of instructions for how to render a document on a screen or page. Although it may contain images, a PDF is not itself an image, and therefore we can't perform OCR on it directly. To convert PDF's to images, we use ImageMagick's convert function which depends on Ghostscript.


    brew install imagemagick
    brew install gs


    sudo apt-get update
    sudo apt-get install imagemagick --fix-missing
    sudo apt-get install ghostscript

    CLI Example

    Convert a PDF to a TIFF representation:

    convert -density 300 /path/to/document.pdf -depth 8 -strip -background white -alpha off image.tiff


    Tesseract is Open Source OCR Engine.


    brew install tesseract


    sudo apt-get install tesseract-ocr

    CLI Example

    Once we have a TIFF representation of the document, we can use Tesseract to (attempt to) extract the plain text:

    tesseract image.tiff output.txt


    import { Ocr } from 'node-ts-ocr';
    import * as path from 'path';
    import * as temp from 'temp';
    export async function getPdfText(fileName: string): Promise<string> {
        // Assuming your file resides in a directory named sample
        const relativePath = path.join('sample', fileName);
        const filePath = path.join(__dirname, relativePath);
        // Extract the text and return the result
        return await Ocr.extractText(filePath);


    extractInfo(filePath: string)

    Retrieve the pdf info using the pdfinfo binary and parse the result to a key value object.

    extractText(filePath: string, options?: ExtractTextOptions)

    Extracts the text from the pdf using the pdftotext binary

    invokePdfToTiff(outDir: string, filePath: string, options?: ExtractTextOptions)

    Converts a PDF file to its TIFF representation using the convert binary

    invokeImageOcr(outDir: string, imagePath: string, options?: ExtractTextOptions)

    Performs OCR on an image in order to extract the text using the tesseract binary



    The arguments are key value pairs of valid command line arguments for the respective binary.

    ExtractTextOptions {
      pdfToTextArgs?: KeyValue;
      convertArgs?: KeyValue;
      tesseractArgs?: KeyValue;

    Example pdfToTextArgs that only includes page 1 to 4.

    Note: this will only work if you already have a searchable PDF, because the pdftotext binary can only be used to extract text from a searchable PDF.

    { pdfToTextArgs: { f: 1, l: 4 } }

    Example convertArgs that sets the convert density to 600, and the trim option to on.

    { convertArgs: { density: '600', trim: '' } }

    Example tesseractArgs that sets the language to english, the page segmentation mode to 6, and preserves interword spaces.

    { tesseractArgs: { 'l': 'eng', '-psm': 6, 'c': 'preserve_interword_spaces=1' } }


    Coming Soon...


    npm i node-ts-ocr

    DownloadsWeekly Downloads






    Unpacked Size

    18.3 kB

    Total Files


    Last publish


    • nicolaspearson