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Open source OCR tools[from openGPT]

There are many open source OCR (optical character recognition) tools available, each with its own strengths and weaknesses. Here are a few popular options:

  1. Tesseract: Tesseract is one of the most widely used OCR engines. It was originally developed by HP and is now maintained by Google. Tesseract supports over 100 languages and can recognize text in various formats including images, PDFs, and scanned documents. It is available on Windows, macOS, and Linux.

  1. OCRopus: OCRopus is a collection of tools and algorithms for OCR. It is designed to be modular and flexible, making it easy to adapt to different OCR tasks. OCRopus is written in Python and is available on Windows, macOS, and Linux.

  1. GOCR: GOCR is an OCR engine developed in C. It can recognize text from images and supports a limited number of languages. GOCR is available on Windows, macOS, and Linux.

  1. Kraken: Kraken is an OCR engine that uses deep learning to recognize text. It is designed to be flexible and can be trained on custom datasets. Kraken is written in Python and is available on Windows, macOS, and Linux.

  1. CuneiForm: CuneiForm is an OCR engine developed in C++. It supports over 20 languages and can recognize text from images, PDFs, and scanned documents. CuneiForm is available on Windows, macOS, and Linux.

Ultimately, the best OCR tool for you will depend on your specific use case and the languages you need to support. It may be worth experimenting with a few different options to find the one that works best for your needs.

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