An open source optical character recognition engine for scanned documents, extracting text from images for search, edit, and archive paper documents
OCRopus is an open source optical character recognition (OCR) engine optimized for scanned documents. Developed by researchers at the University of New York at Buffalo, it incorporates algorithms tailored towards analyzing document images rather than natural scenes.
Some key capabilities of OCRopus include:
By specializing in document images, OCRopus can extract text more accurately and efficiently compared to general purpose OCR software. The open source codebase allows developers to enhance and customize it for specific use cases as well. Overall, it's a compelling option for digitizing paper archives through OCR.
Here are some alternatives to OCRopus:
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