Txt Rec

Text Recognition

A simple web app with MEAN stack for OCR using Tesseract API

A demo of showing the working can be found here: Video

This project was earlier Web Ocr but changes were made: removing redundancies and reducing file size

View Commits

Used from WebOCR

• Binary file of tesseract
• frontend code
• api route '/api/ocr' code

Frontend Tools

• Angular js
• Bootstrap

Backend Tools

• Node js
• Express js

Api dependencies

• Tesseract Ocr
• Leptonica
• Node tesseract

External dependencies

• glob (node-tesseract)
• uuid (node-tesseract)
• multer (to process form data which is sent to upload images)
• fs (for deleting uploaded image files)
• jimp (to improve image contrast and greyscale for better readability)

Usage

Pre requisites

• Installing nodejs and npm

      curl -sL https://deb.nodesource.com/setup_6.x | sudo -E bash -
      sudo apt-get install -y nodejs
  

• Check whether installed correctly

      npm -v
  

  It should display a version number eg. $ 3.5.2

Steps:

1. Clone the repository

       git clone https://github.com/omkarprabhu-98/TxtRec.git
   

2. Move into the directory

       cd txtrec
   

3. Install dependencies using

       npm install
   

4. Run

       npm start
   

   and open http://localhost:3000 in your browser

Contributing

To contibute to this project checkout: Contribute

Limitations

The projects is dependent on the Tesseract API functions

• Best results come if a image of resolution atleast 300dpi is provided
• For better results tesseract converts the image to black and white which may go horribly wrong if the image has different lighting conditions in different parts
• Noise which is variations in color of image can result in lower accuracy
• Position of text in image if not horizontal is almost unreadable to tesseract

Api installation

• Visit