Transkribus
| Transkribus | |
|---|---|
| screenshot showing an old, hand-written document and the OCR-transcribed version | |
| Developer | READ-COOP |
| Repository |
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| Engine | |
Transkribus is a platform for the text recognition, image analysis and structure recognition of historical documents.
The platform was created in the context of the two EU projects "tranScriptorium" (2013–2015)[1] and "READ" (Recognition and Enrichment of Archival Documents – 2016–2019).[2] It was developed by the University of Innsbruck. Since July 1, 2019 the platform has been directed and further developed by the READ-COOP, a non-profit cooperative.[3]
The platform integrates tools developed by research groups throughout Europe, including the Pattern Recognition and Human Language Technology (PRHLT) group of the Technical University of Valencia and the Computational Intelligence Technology Lab (CITlab) group of University of Rostock.
Comparable programs that offer similar functions are eScriptorium and OCR4All.[4]
References
[edit | edit source]- ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).[title missing]
- ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).[title missing]
- ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).[title missing]
- ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
Further reading
[edit | edit source]- Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
External links
[edit | edit source]- Lua error in Module:Official_website at line 94: attempt to index field 'wikibase' (a nil value).
- READ-COOP
- Deutschsprachige Benutzeranleitung für die Transkribus-Plattform
- Github Repository
- Marc Rothballer: Transkribus – Erfahrungsbericht zu maschinellem Lernen und Handwritten Text Recognition in der Heimat- und Familienforschung, Besprechung der Software vom 26. Juni 2020 im Archivalia-Blog