# madmaze/pytesseract

A Python wrapper for Google Tesseract

Repository: https://github.com/madmaze/pytesseract
Canonical: https://ross.abutalabs.com/products/pytesseract
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-07-13T19:52:40+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 92, release rhythm 8, longevity 100
- inputs: {"age_days": 5789, "days_push": 51, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6383, forks 749 (observed 2026-08-28T04:09:42.963473+00:00)

## What it is
Python-tesseract is a Python wrapper for Google's Tesseract-OCR engine that recognizes and extracts text embedded in images. It supports all image types readable by Pillow and Leptonica and can also be used as a standalone invocation script for tesseract.

## Use cases
- extract text from images in python
- run ocr on scanned documents
- read text from png jpeg tiff images
- recognize text in multiple languages
- batch ocr processing of image files
- convert image-based pdfs or screenshots to text

## When to choose
- you need OCR from Python code with a simple API
- you want to leverage the mature Tesseract engine across many image formats
- you need multilingual text recognition with language selection

## When to avoid
- you need state-of-the-art accuracy on handwriting or complex layouts
- you cannot install the external Tesseract-OCR binary
- you need cloud OCR with built-in document structure parsing

## Facets
- artifact type: library
- maturity: stable
- function: ocr, image-processing
- domain: computer-vision, image-processing
- platform: python, cross-platform
- tags: tesseract, text-recognition, pillow, wrapper, natural-language-processing

## Member repositories
- madmaze/pytesseract (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:42.963473+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 2026-08-29T17:45:07.732562+00:00, confidence not recorded.
  - readme: https://github.com/madmaze/pytesseract (fetched 2026-08-28T04:09:42.963473+00:00, sha 8d995024d158)
  - registry_pypi: https://pypi.org/pypi/pytesseract/json (fetched 2026-08-29T08:42:01.655595+00:00, sha 81a8633cddaf)
- Data as of 2026-08-30T08:39:29.467469+00:00.