neocr
NeoCR is a hierarchical, context-aware OCR system for mixed-content documents. It decomposes text into atoms, symbols, quants, and groups, preserving structure. Supports handwriting, formulas, tables, and sketches, with predictive completion, confidence-aware inference, and export to plaintext, Markdown, LaTeX, or PDF.
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Release files for neocr 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| neocr-0.1.0.tar.gz | 2.0 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| neocr-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.7 kB
Release files / neocr-0.1.0.tar.gz
| Download URL | neocr-0.1.0.tar.gz |
|---|---|
| Size | 2.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Yes |
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twine/6.1.0 CPython/3.13.7
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Transparency logRelease files / neocr-0.1.0-py3-none-any.whl
| Download URL | neocr-0.1.0-py3-none-any.whl |
|---|---|
| Size | 1.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
ee17d8a60c2a68d82c54e4a1a8b1c24be273c5c838de33f1476cf3913c621673
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BLAKE2b-256 checksum How to use checksums |
7c39bfd4727988592de0bbd6ace2c2818b9d4e34158ca23bd81910472e1b72e8
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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Transparency logSecurity for neocr 0.1.0
Provenance
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Full provenance
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Attestation for neocr-0.1.0.tar.gz
PyPI Publish Attestation
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Signed by GitHub Actions, verified by PyPI on Oct 10, 2025.
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