Ross ROSS = Recommend OSS · open-source software intelligence for agents

Tesseract OCR

Some data may be outdated — see provenance labels.

Tesseract Open Source OCR Engine (main repository) observed · 2026-09-30

github.com/tesseract-ocr/tesseract · homepage · C++ · Apache-2.0 (permissive) observed · 2026-09-30

Health v2 · maintenance only

83/100

  • Activity 97
  • Release rhythm 55
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 210
  • age_days: 4452
  • days_rel: 88
  • days_push: 22
  • n_releases_24m: 4

Full methodology

Adoption not part of the score

76762 stars · 10817 forks observed · 2026-09-30

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.99

Tesseract is an open‑source OCR engine written in C++ that provides a library (libtesseract) and a command‑line tool for text extraction from images. It supports more than 100 languages, multiple image formats, and various output types such as plain text, hOCR, PDF, TSV and ALTO.

Use cases

  • Extract searchable text from scanned PDF documents
  • Convert photographed receipts or invoices into editable text
  • Batch‑process large collections of scanned images for archival
  • Perform multilingual OCR on documents in dozens of languages
  • Extract tables and layout information from scanned forms using hOCR or ALTO output

When to choose

  • You need a free, open‑source OCR solution that can run locally without cloud services
  • Your project requires support for many languages and custom trained data
  • You prefer a command‑line interface or library integration in C++/Python workflows
  • You need flexible output formats such as plain text, PDF, or structured TSV

When to avoid

  • You require a commercial‑grade OCR with higher accuracy out‑of‑the‑box for complex layouts
  • You need a graphical user interface built into the OCR tool
  • Real‑time video OCR or mobile‑first performance is critical

Facets

library · maturity active

ocr image-processing pdf computer-vision artificial-intelligence windows cli cross-platform c++ lstm traineddata multilingual command-line linux macos

2 sources

Member repositories

For agents

markdown · JSON · MCP: product_card(name="tesseract-ocr/tesseract")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem