OXR Goes Open Source: #1 on 3 Benchmarks, SOTA Accuracy & Speed--the First Document Parser with RSI

OXR is a 1.3B open-source document parsing model from the team behind SoMark. It ranks #1 on olmOCR-Bench, OmniDocBench, and ...

Extend Delivers Sub-Cent Document Parsing with Leading Cost–Accuracy Performance on Two Open-Source Benchmarks

Extend, a document processing platform for developers building AI applications and agents, today highlighted results for Light Parse on two open-source benchmarks. The generally available parsing ...

China Telecom Unveils TeleOCR: Lightweight 1.2B Model Tops Global Document Parsing Benchmarks

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

Improved GLR Parsing Gives Neural Machine Translation a Grip on Long, Complex Sentences

Researchers report an improved GLR parsing algorithm combined with Transformer-based pruning and word alignment that improves neural machine translation of long, noisy, and syntactically complex ...
Yahoo Finance

Reducto Unveils a Frontier Parsing Model That Makes the World's Hardest Documents AI-Ready for 1¢ a Page

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 ...
VentureBeat

Cohere Parse 5 loses the benchmark on points. It wins on cost per page.

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 ...
Wired

Parsing HTML? There’s an App for That

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 ...