# kba/awesome-ocr

Links to awesome OCR projects

Repository: https://github.com/kba/awesome-ocr
Canonical: https://ross.abutalabs.com/products/awesome-ocr
Homepage: https://github.com/kba/awesome-ocr
License: CC0-1.0
License Family: permissive
Last push: 2024-07-06T21:02:05+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3780, "days_push": 788, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3119, forks 379 (observed 2026-08-28T04:07:44.248712+00:00)

## What it is
A curated awesome-list of OCR (Optical Character Recognition) resources, linking to OCR engines, CLI and GUI tools, libraries by language, file formats, datasets, and academic literature. It is a reference catalog rather than software itself.

## Use cases
- find an open source OCR engine
- extract text from scanned pdfs
- compare OCR tools for handwriting recognition
- find OCR libraries for python or rust
- find OCR datasets and ground truth
- learn about OCR file formats like hOCR and ALTO XML

## When to choose
- you want a broad overview of the OCR ecosystem before picking a tool
- you need links to engines, datasets, and papers in one place

## When to avoid
- you need a working OCR engine itself rather than a list of links
- you need up-to-date coverage of recent deep-learning OCR models, as the list's literature section ends around 2018

## Facets
- artifact type: learning-resource
- maturity: active
- function: ocr, image-processing, machine-learning
- domain: computer-vision, image-processing, pdf, awesome-lists
- platform: cross-platform
- tags: awesome-list, ocr-engines, handwriting-recognition, text-extraction, curated-list

## Member repositories
- kba/awesome-ocr (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:44.248712+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:26:37.955096+00:00, confidence not recorded.
  - readme: https://github.com/kba/awesome-ocr (fetched 2026-08-28T04:07:44.248712+00:00, sha 655f3cde0199)
  - homepage: https://github.com/kba/awesome-ocr (fetched 2026-08-29T09:41:54.449966+00:00, sha 0f64637a0609)
- Data as of 2026-08-30T08:39:29.467469+00:00.