ABBYY

One standard to rule every AI pipeline.

You've written the regex. You've patched the PDF parser. And you've hand-rolled the table extractor that breaks every time a vendor changes their export format.

None of that was the real work. It was the tax you paid because documents weren't built for machines.

Today that changes.

DocLang is an open, vendor-neutral specification for an AI-native document standard. Developed under the Linux Foundation, built experts at IBM, ABBYY, NVIDIA, Red Hat, and HumanSignal.

What it actually gives you:

→ A single format that preserves structure, semantics, tables, formulas, and layout—across PDF, Word, HTML, and more

→ Token-efficient markup designed for LLM pipelines, not browser rendering

→ Native support for complex components: nested tables, code blocks, multi-page lists, charts, forms

→ Geometric bounding box info when you need it, ignored when you don't

→ First-class page threading for content that spans columns or pages

The spec is open. Contributions are welcome.

Read it and get involved: https://hubs.li/Q04lKQXr0

The next wave of intelligent automation is already here. How are you preparing for it? ABBYY is heading to the Tech for Industry Show, and we would love to see you there.

📍 Paris Expo, Porte de Versailles
📅 June 23–24, 2026
🔖 Booth F10

The future of manufacturing runs on data, decisions, and the intelligence connecting them. From AI and automation to supply chain optimization and digital transformation, the path to Industry 4,0 starts with understanding your processes and the documents that drive them.

Stop by booth F10 to discover how ABBYY helps industrial leaders:

• Turn complex documents into actionable, structured data

• Reveal hidden inefficiencies across critical workflows

• Build a smarter, AI-ready foundation for automation at scale

Want to join us in Paris? Register to secure your spot: https://hubs.li/Q04ln4180

See you there! 🤝