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Transkribus

by READ-COOP

AI Application
Low Confidence

Transkribus is a platform for recognising handwritten and printed text in images of historical documents, run by READ-COOP, a European cooperative in Innsbruck owned by universities, archives, libraries and individuals. Archives, libraries, historians and other researchers use it to transcribe, search and publish manuscripts, registers and printed books, through a web app, an API, an on-premises version and a scanning app. The vendor says neural networks read each line character by character, and that it offers more than 300 public AI models, including its own general model Text Titan, plus layout analysis, table and field extraction, entity tagging and custom model training on as few as 50 transcribed pages. Users correct the recognised text in a built-in editor, and the vendor says recognition accuracy depends mainly on how users train and handle the models.

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Transparency Score

Weighted across four pillars · updated October 19, 2026

Overall grade
39% weighted
ABCDF
Model
—
Not yet assessed

Capabilities

Handwritten Text Recognition
Optical Character Recognition
Layout Analysis
Table Extraction
Entity Tagging
Model Training

Vendor Information

Complete information about the vendor/provider of this AI application

READ-COOPView all products →
READ-COOP SCE mbH(Trading as: Transkribus)
Contact Information
www.transkribus.org
Registered Address
Völser Straße 11, Innsbruck, Tirol, 6020, AT

Infrastructure

Platforms hosting this application — each inherits its own transparency grade.

READ-COOP servers
READ-COOP
F
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EU AI Act Provider Information

Verification Status:
Unverified
READ-COOP SCE mbH(Trading as: Transkribus)
Völser Straße 11, Innsbruck, Tirol, 6020, AT
The vendor's terms explicitly disclaim responsibility for the accuracy and error rate of its text recognition models and state that accuracy depends mainly on the user's handling and training effort (https://legal.transkribus.org/terms, clause 12.8.1). The Text Titan II model page notes that for specialised scripts, historical hands or languages outside its coverage a dedicated model may give better results (https://www.transkribus.org/models/text-titan-ii).
Compliance & Risk

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Added: October 19, 2026
Updated: October 19, 2026

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