Researchers report an improved GLR parsing algorithm combined with Transformer-based pruning and word alignment that improves ...

Open-sourced by China Telecom's Xingchen AGI Lab, the model tops three international benchmarks and wins the ICDAR 2026 competition, showing that ...

The new r-1 model is the first in a family of document intelligence models that reduces parsing errors by up to 20% while replacing complex, multi-tool pipelines with a single model that costs up to ...

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...

Enterprises trying to feed PDFs, slides and scanned documents into AI pipelines keep running into the same wall: the tools either miss the structure — tables, charts, layout — or cost too much to run ...

There are few rites of programmer passage as iconic as writing your first parser. You might want to interpret or compile a scripting language, or you might want to accept natural-language-like ...

Parsing HTML and extracting useful bits of data is common job for web programmers. The only question is, how do you go about it? You could use Regular Expressions. On the surface of things, regular ...

First self-hosted, enterprise-grade CPU-only document parser, supporting 208 languages and deploying in under 5 minutes Is your LLM workflow failing because documents aren't parsed correctly? Meet ...