JOCR
JOCR is an open-source optical character recognition (OCR) software designed to extract text from scanned documents and images. It supports a variety of image formats and languages and allows custom training for improved accuracy.
optical-character-recognition
scanned-document-processing
image-to-text
JOCR: Open-Source OCR Software
JOCR offers optical character recognition software for extracting text from scanned documents and images, supporting various image formats and languages with customizable training for improved accuracy.
What is JOCR?
JOCR is an open-source, Java-based optical character recognition (OCR) engine for extracting text and images from scanned documents. Some key features of JOCR include:
- Supports wide range of image formats such as PNG, JPG, TIFF, PDF
- Multilingual OCR support for English, French, Spanish and more languages
- Custom training capabilities for optimizing OCR accuracy
- Actively developed and maintained on GitHub
- Apache 2.0 license allows free commercial and non-commercial use
- Cross-platform compatible including Windows, Linux and MacOS
- APIs available for integrating JOCR into other software and automation workflows
Overall, JOCR is a flexible open-source OCR tool for efficiently extracting text and images from scans and files without licensing restrictions. Customization options allow improving recognition accuracy for specific use cases. Its open-source nature provides transparency into its working and options for community contributions.
JOCR Features
Features
- Supports a variety of image formats including JPEG, PNG, TIFF, BMP
- Performs OCR in over 60 languages
- Allows training custom fonts and languages
- Command line and GUI interfaces
- Open source with community support
Pricing
- Open Source
Pros
Free and open source
Good language support
Custom training improves accuracy
Active community support
Cons
Lower accuracy than commercial OCR tools
Limited documentation
Steep learning curve
Official Links
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