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Topdu/OpenOCR

OpenOCR: An Open-Source Toolkit for General-OCR Research and Applications, integrates a unified training and evaluation benchmark, commercial-grade OCR and Document Parsing systems, and faithful reproductions of the core implementations from a wide range of academic papers. observed · 2026-08-28

github.com/Topdu/OpenOCR · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

58/100

  • Activity 96
  • Release rhythm 8
  • Longevity 58
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 824
  • days_rel: 648
  • days_push: 29
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

1437 stars · 142 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OpenOCR is an open-source Python toolkit for general OCR research and applications, covering text detection and recognition, formula and table recognition, and document parsing. It provides commercial-grade OCR systems, a unified training/evaluation benchmark, and reproductions of academic paper implementations.

Use cases

  • extract text from images with ocr
  • parse documents into structured text
  • recognize tables in scanned pdfs
  • detect and recognize scene text in photos
  • convert formulas in images to latex
  • benchmark ocr models on standard datasets
  • train custom text recognition models in pytorch
  • chinese and english ocr

When to choose

  • you need a full OCR pipeline including detection, recognition, and document parsing
  • you want reproducible implementations of OCR research papers for benchmarking
  • you need commercial-grade OCR with lightweight deployable models
  • you work with Chinese and English text recognition

When to avoid

  • you only need speech-to-text rather than visual text recognition
  • you need handwriting-heavy or low-resource language OCR beyond the toolkit's supported models
  • you want a fully managed cloud OCR API without running models yourself

Facets

library · maturity active

ocr machine-learning deep-learning image-processing pdf computer-vision artificial-intelligence pdf python windows text-detection text-recognition document-parsing table-recognition formula-recognition scene-text pytorch research-benchmark natural-language-processing linux macos gpu

1 source

Member repositories

RepositoryRoleHealth v2
Topdu/OpenOCRmain58

For agents

markdown · JSON · MCP: product_card(name="Topdu/OpenOCR")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem