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tools259d ago
SOTA OCR with Core ML and dots.ocr
The dots.ocr library, optimized for Core ML, achieves state-of-the-art OCR performance on handwritten text recognition tasks. It provides a simple API for integrating OCR capabilities into iOS applications. You can use dots.ocr to build accurate text extraction features. The library's performance is competitive with commercial solutions.
Key takeaways
- dots.ocr achieves SOTA performance on handwritten text recognition.
- Optimized for Core ML, suitable for iOS apps.
- Simple API for easy integration.
The dots.ocr library, optimized for Core ML, achieves state-of-the-art OCR performance on handwritten text recognition tasks. It provides a simple API for integrating OCR capabilities into iOS applications. You can use dots.ocr to build accurate text extraction features. The library's performance is competitive with commercial solutions.
Key takeaways
- dots.ocr achieves SOTA performance on handwritten text recognition.
- Optimized for Core ML, suitable for iOS apps.
- Simple API for easy integration.