kraken is a turn-key automatic text recognition system optimized for historical and non-Latin script material.
It’s designed as a universal text recognizer for the humanities, with trainable layout analysis, reading order detection, and character recognition. The software supports a wide range of scripts and output formats, making it useful for digitizing complex historical documents.
This is free and open source software.
Key Features
- Automatic text recognition system.
- Optimized for historical and non-Latin script material.
- Fully trainable layout analysis.
- Reading order detection.
- Trainable character recognition.
- Right-to-left, bidirectional, and top-to-bottom script support.
- ALTO, PageXML, abbyyXML, and hOCR output.
- Word bounding boxes and character cuts.
- Multi-script recognition support.
- Public repository of model files.
- Variable recognition network architectures.
Website: github.com/mittagessen/kraken
Support:
Developer: mittagessen
License: Apache License 2.0
kraken is written in Python. Learn Python with our recommended free books and free tutorials.
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|---|---|
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| EasyOCR | OCR that reads natural scene text and dense text in documents |
| RapidOCR | Fast offline deployment across multiple platforms and languages |
| ocrs | Modern OCR engine |
| Surya | Multilingual document OCR toolkit with text recognition |
| ocropy | Open source document analysis and OCR system |
| OpenOCR | Toolkit for general OCR research and applications |
| Ocrad | OCR engine based on a feature extraction method |
| kraken | Turn-key automatic text recognition system |
| Cuneiform | OCR Engine to convert OCR documents into editable form |
| GOCR | Reads images in many formats |
Read our verdict in the software roundup.
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