The ACM Symposium on Document Engineering seeks original research papers that advance the state of the art in computational creation and processing of documents as structured, multifaceted information objects. The notion of document covers text, images, equations, tables, diagrams, musical scores and other notations, both in current and historical documents. DocEng focuses on the principles, models, technologies, and tools that enable the design, creation, processing, transformation, management, and use of documents and document collections. This includes aspects of security, interoperability, reliability, accessibility, and human factors in this field. Attendees at this international forum share an interest in treating documents as engineered artifacts that underpin trustworthy communication, effective knowledge exchange, cultural preservation, and innovation across diverse domains.

In addition, DocEng'26 particularly welcomes contributions on the theme of Document Engineering in the Era of AI and Sustainability. This theme reflects the ongoing evolution of document technologies in response to two major global imperatives: the integration of artificial intelligence and the adoption of sustainable digital practices.

You are invited to submit original papers to DocEng'26, to be held in-person in Fribourg, Switzerland.

Relevant Topics

We seek original contributions that are mainly focused on, but not necessarily limited to, the following topics:

AI and Sustainability in Document Engineering
AI-powered solutions and LLM integration: artificial intelligence-driven document solutions, intelligent automation systems, and integration of large language models in document systems and workflows
Sustainability: sustainable and energy-efficient approaches to document processing and environmentally conscious document engineering practices
Security and trust: document security mechanisms, trust frameworks, and verification systems to ensure document authenticity and integrity
Accessibility and applications: inclusive and accessible document systems for all users, with real-world applications in education, healthcare, law, and public administration
Document Creation and Use
The application of algorithms, including machine learning, large language models, or others, to analyse, process and generate digital documents. Topics include:

Automated content creation: systems that can automatically generate, manipulate, present or customize documents, including document authoring tools and systems, and document modelling
Typography, formatting and layout generation: algorithms and systems for visual aspects of documents, including typography, formatting and layout generation
Document recognition: methods for analysing images, historical documents or specialised content like equations or musical scores
Semantic analysis: algorithms that understand the meaning and relationships within document content
Human-Document Interaction, Accessibility and Inclusive Document Design
Focusing on users' experience and interaction with documents in various forms and contexts. Highlighting the importance of making documents usable and accessible to all. Topics include:

Accessibility models: creating standards and models to ensure documents are accessible to people with disabilities
Document transformation: algorithms and systems for presenting documents effectively across different devices and platforms
User experiences: how users navigate, search, and collaborate on documents
Scalable Document Collections & Systems
Focusing on how document collections are represented, managed and accessed at scale. This includes:

Modelling and representation: developing new document models, structures and standards for complex, modern data types like multimedia and graphs
Large-scale management: systems for storing, indexing, retrieving, and managing massive collections of digital documents and archives
Distributed processing: algorithms and systems designed for efficient and safe document processing across distributed networks
Document Trust, Privacy and Security
Addressing the challenge of ensuring the security, privacy and authenticity of digital documents, in a world of increasing data breaches and misinformation. Topics include:

Document security: methods for encrypting and protecting documents and their metadata
Privacy and compliance: ensuring that document workflows adhere to privacy regulations and policies
Authentication and integrity: systems for verifying the authenticity and integrity of documents to prevent forgery or tampering
Application of Emerging Algorithms and Technologies to Document Engineering
Focusing on how cutting-edge methods can advance the design, creation, processing, management, presentation and use of documents and document collections. Topics include:

Blockchain, quantum computing
Deep learning, generative AI, large language models
Other emerging computational paradigms