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tesseract-ocr/tesseract

Tesseract Open Source OCR Engine (main repository)

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tesseract-ocr/tesseract has 77k+ stars and 10k+ forks on GitHub, is written in C++, and was last pushed on Oct 10, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 1 hour ago
Type:Library / SDKCategory(s):Computer VisionML Frameworks & LibrariesMachine Learning & Deep Learning
Added to GitGenius on August 28th, 2026
Created on August 12th, 2014
Open Issues & Pull Requests: 502 (+0)
GitHub issues: Enabled
Number of forks: 10,846
Total Stargazers: 77,050 (+1)
Total Subscribers: 1,722 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.9 hours
Mean response time: 25.3 days
90th percentile: 27.5 days
Tracked items: 224

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Maintainer activity

4 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

How this project is maintained

About 8% of issues opened in the past year have never received a reply. 83% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "feature request" is answered fastest, typically in about an hour, while "layout analysis" waits about 2 days. 69% of issues opened in the past year have been closed, leaving a working backlog. Three people close 83% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 101
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 1,319 days
Stale 30+ days: 95
Stale 90+ days: 90

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 1
Events in 7 days: 2

Top labels

  • question (30)
  • bug (28)
  • feature request (19)
  • accuracy (13)
  • layout analysis (12)
  • traineddata (10)
  • build process (8)
  • unexpected termination (8)

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Detailed Description

Tesseract is an OCR engine that converts images of text into machine-readable text through optical character recognition.

The tool solves the problem of extracting text from images by combining two recognition approaches. Tesseract 4 introduced a neural network-based LSTM engine focused on line recognition, while maintaining backward compatibility with the legacy character-pattern-based engine from Tesseract 3 through a legacy OCR mode. The engine requires trained data files to function and benefits from image quality preprocessing to achieve better results.

Tesseract suits projects that need to extract text from images without a graphical interface. The tool recognizes more than 100 languages out of of the box with UTF-8 support, processes multiple image formats including PNG, JPEG, and TIFF, and outputs results in various formats such as plain text, hOCR, PDF, TSV, ALTO, and PAGE. It can be trained to recognize additional languages. Projects requiring a GUI should look to third-party applications built on top of Tesseract rather than the engine itself.

Development is led by Stefan Weil with Zdenko Podobny as maintainer. The project maintains an active issue tracker and planning documentation. The codebase is written in C++ and receives updates across minor versions and bugfix releases on the main branch.