https://github.com/jbaiter/archiscribe

Web application for transcribing OCR ground truth from Archive.org
https://github.com/jbaiter/archiscribe

Last synced: about 1 year ago
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Web application for transcribing OCR ground truth from Archive.org

• Host: GitHub
• URL: https://github.com/jbaiter/archiscribe
• Owner: jbaiter
• License: mit
• Created: 2017-09-29T08:07:40.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2018-02-22T22:17:30.000Z (over 8 years ago)
• Last Synced: 2025-04-22T10:36:05.857Z (about 1 year ago)
• Language: Go
• Size: 409 KB
• Stars: 17
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

• awesome-ocr - archiscribe - Web application for transcribing OCR ground truth from Archive.org. Deployed instance available at https://archiscribe.jbaiter.de/, results are available in [@jbaiter/archiscribe-corpus](https://github.com/jbaiter/archiscribe-corpus). (Software / OCR GUI)

README

          
# archiscribe

Use facsimile images and OCR layout information from Archive.org to quickly

transcribe OCR ground truth with a user-friendly webinterface.

Currently hard-coded to sample from 19th century German books typeset in

Fraktur, but that can easily be changed.

Based on a python prototype Created as part of the OCR Workshop at the BBAW in

Berlin, 28/29th. September 2017, ported to Go for better performance and

concurrency.