Our Story
Originally developed by Hewlett-Packard in the 1980s, Tesseract was later open-sourced and has since evolved through contributions from engineers and researchers around the world. Google supported major improvements between 2006β2018, and today, Tesseract continues to be maintained as a community-driven project.
What We Do
Tesseractβs mission is simple: allow anyone to extract text from images and documents easily. Tesseract powers document scanning systems, research pipelines, automation workflows, digital archiving tools, and accessibility tools across many languages and writing systems.
Who Uses Tesseract
- Students converting notes and textbooks into editable documents
- Developers building automation and data extraction tools
- Businesses managing scanned archives, receipts, and forms
- Machine learning and AI researchers working on language processing
Why People Love It
Tesseract is open-source, reliable, actively improved by global contributors, and supports over 100+ languages. Its neural-net-based LSTM engine provides high accuracy, making it suitable for academic, commercial, and personal use.
Our Vision
Accessibility
Bringing OCR capabilities to every device and language community.
Innovation
Improving text recognition accuracy and evolving with AI progress.
Open Collaboration
Encouraging contributions and sharing tools across global developers.