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#ocr

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2 items

modelsMay 18

PaddleOCR 3.5: Running OCR and Document Parsing Tasks with a Transformers Backend

PaddleOCR 3.5 integrates a Transformers backend for running OCR and document parsing tasks. The update allows users to leverage popular models like LayoutLM and Donut for improved accuracy. This change enables builders to deploy OCR solutions with state-of-the-art performance using familiar Transformers APIs.

Key takeaways
  • PaddleOCR 3.5 uses a Transformers backend for OCR tasks.
  • Integrates with models like LayoutLM and Donut.
  • Enables state-of-the-art OCR performance with Transformers APIs.
toolsOct 2

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.