A developer's experiment comparing DocLang XML markup to Markdown for feeding PDFs to LLMs found that all three representations produced identical answers—100% accuracy on facts and 87.5% on structure…
IBM Research introduced DocLang, a constrained XML sub-language designed to make document structure more interpretable for large language models, complementing its open-source Docling parser. Docling,…
The Joint Development Foundation and LF AI & Data announced DocLang, a new open standard for machine-readable documents designed to replace PDF and DOCX in AI pipelines. DocLang encodes semantic tags,…
The DocLang Project has released DocLang, an AI-native markup format for unstructured content that maps to LLM tokens while preserving structure, semantics, layout, and geometry. The repository hosts …
The LF AI & Data Foundation announced the formation of the DocLang Specification Working Group on June 9, 2026, to create an open, vendor-neutral specification for AI-native documents. IBM, NVIDIA, an…
IBM, Nvidia, and Red Hat founded the DocLang working group, hosted by the Linux Foundation’s LF AI & Data project, to create an open, universal document format designed for machine readability rather …