OCRopus
OCRopus is an open source optical character recognition (OCR) engine designed specifically for scanned documents. It can analyze document images and extract the text, enabling searching, editing, and archiving of paper documents.
OCRopus: Open Source OCR Engine
An open source optical character recognition engine for scanned documents, extracting text from images for search, edit, and archive paper documents
What is OCRopus?
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:
- Handling challenging fonts, layouts, and image quality issues common in scanned documents
- Recognition of over 100 languages and scripts
- Output in plain text, PDF, HTML or structured XML formats
- Command line, Python, and REST APIs for integration
- Modular design allowing customization of the recognition pipeline
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.
OCRopus Features
Features
- Open source OCR engine
- Designed for scanned documents
- Extracts text from images
- Enables searching/editing of scanned docs
- Built on LSTM neural networks
Pricing
- Open Source
Pros
Free and open source
Actively maintained
Supports many languages
Good accuracy on scanned documents
Cons
Limited documentation
Steep learning curve
Not as accurate on complex documents
Lacks some features of commercial OCR
Official Links
Reviews & Ratings
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