# Optical Character Recognition Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/optical-character-recognition
> Markdown URL: https://aitinkerers.org/technologies/optical-character-recognition.md
> Technology record last updated: 2026-02-23T23:07:03Z
> Generated: 2026-10-25T05:09:47Z

Optical Character Recognition (OCR) electronically converts images of typed, handwritten, or printed text into machine-encoded, searchable data.

OCR is a critical data entry method, transforming physical documents (invoices, passports, bank statements) into editable, digital text. The process involves image preprocessing (de-skewing, binarization), feature extraction, and pattern recognition to identify characters. Modern systems, like Google's open-source Tesseract or deep learning models, achieve high accuracy rates, often exceeding 98% on clean printed text. Key applications include automating data extraction from business documents, creating searchable PDFs, and enabling automatic number-plate recognition (ANPR) in traffic systems.

- Official technology site: https://en.wikipedia.org/wiki/Optical_character_recognition
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [From Image to Structured Data: Building a Local AI Document OCR Platform for Administrative Workflows](https://tokyo.aitinkerers.org/talks/rsvp_Vs-o12h3f_U)

- Event context: AI Tinkerers Tokyo - Toranomon Meetup - February 19, 2026 — 2026-02-19 — Tokyo
- Public talk page: https://tokyo.aitinkerers.org/talks/rsvp_Vs-o12h3f_U

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