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Detects and recognizes text in historical, archival and handwritten documents. Optimized for fast inference with ONNX Runtime (CPU/GPU/CoreML) and optional training with PyTorch. Supports plugging custom models via a simple API.
pip install manuscript-ocr
PyPI declares 37 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.16>=1.21>=4.5.0>=8.0.0>=1.8>=0.19>=0.56>=2.0>=6.0>=4.60>=4.4The compact report shows 25 of 37 declarations. The interactive dependency graph loads the complete metadata.
manuscript-ocr publishes 1 wheel and 1 source archive for version 0.1.12. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.8, 3.9.
PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 12 releases with files. The first dated release is ; 12 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .