Open-Source OCR Library decimen-optical-transfer Targets High-Precision Number Extraction

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A GitHub user named bashalarmistalt has developed decimen-optical-transfer, an open-source OCR library designed specifically to extract numerical data from images, documents, and handwritten tables. Unlike general-purpose OCR tools such as Tesseract or EasyOCR, this library focuses exclusively on digits, decimal points, negative signs, and scientific notation. It uses a character-level attention mechanism and a custom preprocessing pipeline to reduce common misreads between visually similar characters like 0 and O or 1 and l. The tool also includes a layout parser for identifying table structures, making it useful for financial statements, invoices, and scientific reports. Models are packaged as ONNX Runtime files for CPU use, with an optional PyTorch backend available for faster GPU-based batch processing.

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