Published July 10, 2026 | Version v1
Lesson Open

Optical Character Recognition (OCR)

Authors/Creators

  • 1. ROR icon University of British Columbia

Description

This notebook introduces Optical Character Recognition (OCR) for historical documents. It covers OCR using EasyOCR and Surya OCR, image preprocessing, layout analysis, quality evaluation, and scalable OCR workflows with practical Python examples.

Files

Files (37.2 MB)

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Additional details

Funding

University of British Columbia
Teaching and Learning Enhancement Fund

Software

Repository URL
https://github.com/ubcecon/praxis-ubc/tree/main/project/docs/OCR
Programming language
Python
Development Status
Active