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🐍 ⚗️ Optical Character Recognition using tesseract within Frappe.

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Monogramm/erpnext_ocr

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License: MIT Managed with Taiga.io Build Status

ERPNext OCR

⚗️ Experimental Frappe OCR application with tesseract.

This project is a fork of ERPNext-OCR by John Vincent Fiel. Its aim is to fix and cleanup the original source code and add some new features.

https://discuss.erpnext.com/t/erpnext-ocr-app/33834/7

📈 Changes

See CHANGELOG

🔖 Roadmap

See Taiga.io

🚧 Install

Pre-requisites: tesseract-python and imagemagick

Install tesseract-ocr, plus imagemagick and ghostscript (to work with pdf files) using this command on Debian:

sudo apt-get install tesseract-ocr imagemagick libmagickwand-dev ghostscript

Install Frappe application

bench get-app --branch develop erpnext_ocr https://github.com/Monogramm/erpnext_ocr
bench install-app erpnext_ocr

When installing Frappe app, the following python requirements will be installed:

  • python binding for tesseract, pytesseract
  • image processing library in python, pillow
  • HTTP library in python, requests
  • python binding for imagemagick, wand

🚀 Usage

Sample Screenshot:

Sample Screenshot

File Being Read:

Sample Screenshot 2

Tesseract trained data

In order to use OCR with different languages, you need to install the appropriate trained data files. Check tesseract Wiki for details: https://github.com/tesseract-ocr/tesseract/wiki/Data-Files

Known issues

✅ Run tests

bench bench run-tests --profile --app erpnext_autoinstall

👤 Authors

Monogramm

John Vincent Fiel

🤝 Contributing

Contributions, issues and feature requests are welcome!
Feel free to check issues page. Check the contributing guide.

👍 Show your support

Give a ⭐ if this project helped you!

📄 License

Copyright © 2019 Monogramm.
This project is MIT licensed.


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