# ocropus-archive/DUP-ocropy

Python-based tools for document analysis and OCR

Repository: https://github.com/ocropus-archive/DUP-ocropy
Canonical: https://ross.abutalabs.com/products/dup-ocropy
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Archived: true
Last push: 2021-05-22T21:57:32+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4327, "days_push": 1929, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3465, forks 588 (observed 2026-08-28T04:08:05.765142+00:00)

## What it is
OCRopy is a collection of Python-based tools for document analysis and OCR, covering binarization, page layout analysis, and text line recognition. It is not a turn-key OCR system and requires image preprocessing and possibly model training for specific documents.

## Use cases
- run OCR on scanned document images
- binarize scanned pages for text recognition
- perform page layout analysis on documents
- recognize text lines from historical documents
- train custom OCR models for specific fonts or languages
- measure OCR error rates and confusion matrices
- edit and correct OCR ground truth

## When to choose
- you need fine-grained control over the OCR pipeline stages
- you are processing historical or non-standard documents requiring custom models
- you want an open-source, scriptable document analysis toolkit

## When to avoid
- you want a turn-key OCR solution that works out of the box
- you need actively maintained software with modern Python support
- you only need modern-language OCR with minimal setup

## Facets
- artifact type: library
- maturity: maintenance
- function: ocr, image-processing, machine-learning, nlp
- domain: computer-vision, image-processing, developer-tools
- platform: python, cli
- tags: ocr, document-analysis, text-recognition, binarization, layout-analysis, historical-documents, rnn, natural-language-processing, linux, docker

## Member repositories
- ocropus-archive/DUP-ocropy (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:05.765142+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 2026-08-29T18:36:52.762682+00:00, confidence not recorded.
  - readme: https://github.com/ocropus-archive/DUP-ocropy (fetched 2026-08-28T04:08:05.765142+00:00, sha 86f3cf1fd351)
- Data as of 2026-08-30T08:39:29.467469+00:00.