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...The model is designed to recognize virtually any human script, making it highly effective for global and low-resource language scenarios. It achieves state-of-the-art performance on document parsing benchmarks while maintaining a relatively compact model size, demonstrating efficiency without sacrificing accuracy. Beyond standard OCR tasks, it extends its capabilities to parse complex visual elements such as charts, diagrams, and web interfaces, converting them into structured outputs like SVG code.

Ocrad.js is a JavaScript port of the GNU Ocrad optical character recognition engine compiled with Emscripten. It brings text recognition directly into web applications without requiring a remote OCR service. Local processing can reduce network latency and support offline-capable applications. Possible uses include extracting text from images, browser-based note tools, image indexing, and experimental handwriting input. The repository includes the compiled library, source material, examples,...