# zacharywhitley/awesome-ocr

Repository: https://github.com/zacharywhitley/awesome-ocr
Canonical: https://ross.abutalabs.com/products/zacharywhitley-awesome-ocr
License Family: other
Topics: awesome, awesome-list, ocr, ocr-recognition, machine, machine-learning, deep-learning
Last push: 2026-08-13T13:25:40+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 35, longevity 100
- inputs: {"age_days": 2598, "days_push": 20, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1017, forks 125 (observed 2026-08-28T04:03:14.603965+00:00)

## What it is
A curated awesome-list of OCR (optical character recognition) resources, including tools and research for deskewing, dewarping, text detection, and text recognition. It links to papers, libraries, and models for document image processing.

## Use cases
- find OCR tools and libraries
- discover document dewarping research
- learn about text recognition models
- compare deskewing approaches for scanned documents
- find open-source OCR projects with papers

## When to choose
- you need a curated starting point for OCR research or tooling
- you want links to state-of-the-art document image correction methods

## When to avoid
- you need a ready-to-use OCR engine rather than a resource list
- you need production software with support

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

## Member repositories
- zacharywhitley/awesome-ocr (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:14.603965+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 2026-08-30T07:11:15.817014+00:00, confidence not recorded.
  - readme: https://github.com/zacharywhitley/awesome-ocr (fetched 2026-08-28T04:03:14.603965+00:00, sha ec4208463332)
- Data as of 2026-08-30T08:39:29.467469+00:00.