Transkribus

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The AI-powered platform for unlocking history. www.transkribus.org

How do you get 250,000 insect specimen labels into a searchable database? The Museum für Naturkunde Berlin worked with Transkribus to transcribe and structure handwritten and printed labels into accessible research resources. Learn how:

Creating a model to transcribe 250,000 specimen labels at the Museum für Naturkunde Berlin | Transkribus Blog

Transkribus collaborates with the Museum für Naturkunde Berlin to digitise and transcribe 250,000 insect specimen labels, enhancing digital access for researchers and educators.

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Millions of church record pages are available on Archion, but reading Kurrent script can be a challenge. With the integration of Transkribus, users can now generate transcriptions directly within the Archion viewer. Learn more about the integration: www.transkribus.org/blog/strateg...

Strategic AI integration: How Archion implemented the Transkribus API | Transkribus Blog

Discover how Archion streamlined family history research by integrating AI text recognition through the Transkribus API, making historical documents more accessible.

transkribus.org

📢 We've just released Text Titan II, our most accurate general-purpose model yet. It reduces transcription errors by ~47% compared to Text Titan I on our internal benchmark, with the biggest gains on handwritten documents! Find out more and try Text Titan II: www.transkribus.org/blog/introdu...

Introducing Text Titan II | Transkribus Blog

Transkribus introduces Text Titan II: a powerful, multilingual transcription model for Latin-script documents. Boost accuracy for print and handwriting today.

transkribus.org

Notarial archives are notoriously difficult to process, especially when filled with crossed-out text, marginalia, and additions. At #TUC26, Gena Lemmens (Regionaal Archief Tilburg) shares a multi-year journey of teaching Transkribus to read "chaotic" layouts. Full programme: buff.ly/1DuGJDF

Panel 4: Mastering Complexity

All six talks wrestle with material that actively resists standard HTR — physically, structurally, or linguistically.

tuc.transkribus.org

Deciphering old Cyrillic shouldn't be the most time-consuming part of your research. We’ve highlighted five models for historical Russian texts, so you can spend less time deciphering and more time actually working with the sources. 👉

5 AI Models For Transcribing Old Russian Handwriting And Printed Russian Texts - READ-COOP

Read the Post 5 AI Models For Transcribing Old Russian Handwriting And Printed Russian Texts in our Blog.

blog.transkribus.org

📢 The first Latvian Model for Transkribus!   Trained on 19th-century manuscripts from the Riga Latvian Society, this model is ideal for handwritten materials, especially folklore manuscripts.   Many thanks to project ȬPEN and all contributors!

Latvian model 19th century | Latvian Text Recognition Model | Transkribus

Description This text recognition model was created with the late 19th manuscripts from the collection of the Scientific Commission of the Riga Latvian Socie...

transkribus.org

What happens to archival material that has no finding aid, catalogue entry, or searchable text? Letters, legal records and administrative files often remain invisible to researchers. Transkribus helps turn large backlogs into searchable, GDPR-compliant digital records at scale 👇 buff.ly/0ydQb4r

Archival Backlog Reduction — AI-Powered Processing for Archives

OCLC estimates 30%+ of archival collections remain hidden and unprocessed. Transkribus batch processing turns backlogs into searchable, discoverable collections.

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“What can Visual Language Models (not) do for document analysis?” Join keynote speaker Vincent Christlein (FAU Erlangen-Nürnberg) at #TUC2026 for a closer look at lightweight and open AI models, hybrid pipelines, and what actually works in practice for historical documents! More: buff.ly/zaLHFZo

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How to digitize 20k historical pages with a team of two? The Hargrett Library used Transkribus and custom scripting to process a colonial record collection in under 2 months, unlocking critical data on enslaved individuals. Find out how:

Sustainable efficiency: How the University of Georgia transcribed 20,000 pages in two months | Transkribus Blog

Discover how the University of Georgia's innovative project transcribed 20,000 pages of historical documents in just two months, enhancing access to enslaved individuals' stories.

transkribus.org

New public model for #Hungarian handwriting! Trained by a research team at Széchenyi István University on council minutes from the Royal Hungarian Agricultural Academy in Magyaróvár (1884–1909), this model supports late 19th-century Hungarian records. 📜 Give it a try:

Hungarian Higher Education Council Minutes | Hungarian Text Recognition Model | Transkribus

This specialized Handwritten Text Recognition (HTR) model is designed for Hungarian cursive manuscripts, specifically late 19th and early 20th-century instit...

transkribus.org

History isn't just grand narratives; sometimes it's 17th-century rhubarb crackdowns.  Historical German scripts like Kurrent or Sütterlin often stall general AI. See how 3 projects used Transkribus to unlock thousands of museum labels, diaries, and council records: buff.ly/Yl8ERvz

AI Made for German: Unlocking German-language archives with Transkribus | Transkribus Blog

Discover how Transkribus is revolutionising access to historical German-language documents, transforming archives into searchable digital resources for all.

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