The Organizing Committee of the International Conference on Document Analysis and Recognition is delighted to invite you to Vienna, Austria, for the 20th edition of ICDAR, taking place from August 30 to September 4, 2026. This year’s conference will continue the tradition of excellence established by previous ICDAR events, offering keynote talks, main track sessions, presentations, panel discussions, poster exhibitions, side workshops, and social gatherings. With over 500 participants from around the globe, ICDAR provides the ideal setting for the community to connect and collaborate.
Robert Sablatnig and Florian Kleber, TU Wien, Austria
About ICDAR
The International Conference on Document Analysis and Recognition (ICDAR) is the premier international event for scientists and practitioners involved in document analysis and recognition, a field of growing importance in the current age of digital transition. The 20th edition of this conference will be held for the first time in Vienna, Austria from August 30 – September 04, 2026.
Please note the key dates of ICDAR 2026:
Main Conference: Monday, August 31 – Wednesday, September 2, 2026
Tutorials: Sunday, August 30, 2026
Workshops: Thursday, September 3 – September 4, 2026
Topics Of Interest
| Document image processing | Structured document generation |
| Physical and logical layout analysis | Multimedia document analysis |
| Text and symbol recognition | Mobile text recognition |
| Handwriting recognition | Pen-based document analysis |
| Document analysis systems | Scene text detection and recognition |
| Document classification | Recognition of tables and formulas |
| Indexing and retrieval of documents | Historical document analysis |
| Document synthesis | Signature verification |
| Extracting document semantics | Document summarization and translation |
| NLP for document understanding | Document forensics and provenance |
| Office automation | Medical document analysis |
| Graphics recognition | Document analysis for social good |
| Human document interaction | Document analysis for literature search |
| Document Representation Modeling | Gold-standard benchmarks and datasets |