21–23 September 2026 • University of Passau
Transkribus User Conference 2026
Explore the future of historical document analysis with researchers, archivists, and enthusiasts from around the world.
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#TUC2026
This Year's Theme
Not all AI is created equal
The Transkribus User Conference 2026 explores how cutting-edge AI technology is transforming our ability to unlock historical documents and preserve cultural heritage for future generations. This year's theme focuses on the race between general-purpose AI and specialised models for handwritten text recognition. We will discuss how Transkribus and various AI approaches can effectively meet the needs of scholars, archivists, and research institutions in unlocking the written past.
Programme
Three days of talks, workshops, and networking
Talks
Keynotes, lightning talks, and scholarship presentations exploring AI-driven analysis of historical documents.
Workshops
Hands-on sessions and practical explorations to deepen your skills and discuss best practices.
Networking
Connect with the global Transkribus community including a conference dinner on Day 2.
Full programme coming soon
The detailed schedule will be announced in May 2026 after the Call for Papers closes.
Venue
Where innovation meets history
University of Passau, Germany
Join us at the beautiful University of Passau, located at the confluence of three rivers in one of Germany's most picturesque cities. The historic setting provides the perfect backdrop for exploring the future of historical document analysis.
- Centrally located with excellent transport links
- Modern conference facilities
- Nearby accommodation options
- Accessible venue
Tickets
Secure your spot at TUC 2026
February 25, 2026
Regular
Full in-person access
- Full conference access
- All sessions & workshops
- Coffee breaks & lunch
- Conference materials
Virtual
Online participation
- Livestream of keynotes
- Access to recordings
Speakers
For accepted proposals
- Full conference access
- All sessions & workshops
- Coffee breaks & lunch
- Conference materials
- Conference dinner
Call for Papers
Not all AI is created equal. Unlocking the written past with specialised and general-purpose AI.
We invite researchers, archivists, librarians, and technologists to contribute to this dialogue. We welcome proposals from students, early-career researchers, and professionals.
Lightning Talks (10 min)
Share innovative projects and findings
Round Tables (60 min)
In-depth discussion on AI methodologies
Workshops (120 min)
Hands-on instruction for all levels
Scholarship & Poster Presentations
Visual and academic contributions
Key Dates
20 March 2026
Call for Papers closes
April 2026
Notifications sent
May 2026
Programme published
Sept 21-23, 2026
Conference in Passau
Important Dates
Mark your calendar for these key milestones
February 2026
Call for Papers Opens
Submit your abstract
25 February 2026
Ticket Sales Open
Secure your spot
20 March 2026
Submissions Close
Last day for proposals
April 2026
Notifications Sent
Acceptance decisions
May 2026
Programme Published
Full schedule revealed
Sept 21–23, 2026
The Conference
Three days in Passau
What Attendees Say
Hear from previous TUC participants
"What I really enjoyed about TUC was the collaboration, the networking, getting to share different ideas, and learning different ways of using tools."
Jérémy Scraire
Researcher, Canada
"At the TUC, I've been speaking to historians, linguists and genealogists. It really shows that Transkribus is a technology that can be beneficial in various ways!"
Tamara Terbul
Linguist, Austria
"It was exciting to learn practical tips on working with archives and integrating a crowdsourcing community into the transcription of historical documents."
Magally Alegre Henderson
Archivist and Digital Humanist, Peru
The Hosts
The AI platform for historical documents.
Hosted by the Faculty of Arts and Humanities
Frequently Asked Questions
Everything you need to know about TUC 2026
Ready to join us?
Don't miss the opportunity to connect with the Transkribus community and discover the latest in handwritten text recognition.