Datalab has released OmniParseBench, an open OCR benchmark for document parsers. It scores parsers with 16,288 yes/no tests on 2,937 […]
Category: OCR
Datalab Introduces OmniExtractBench to Fix Bias and Opacity in Extraction Benchmarks
Datalab has released OmniExtractBench, an open benchmark for structured document extraction. It tests how accurately a system fills a JSON […]
Jina AI Releases jina-ocr-v1: A 3.4B MoE Document Parser With Built-In Speculative Decoding for Low-Budget GPUs
Jina AI, part of Elastic, has released jina-ocr-v1, an end-to-end visual document parser. It takes PDFs, scans, tables, charts or […]
LandingAI Releases Agentic Document Extraction Gen2 with DPT-3 Pro and DPT-3 Verity
LandingAI has shipped Agentic Document Extraction (ADE) Gen2, a rebuild of its document intelligence stack around a new model family […]
Reducto Releases r-1: A Single Pass Document Parsing Model That Cuts Errors 20% at 1 Cent Per Page
Last week, Reducto announced r-1. It is the first model in a new parsing family built on a rewritten architecture, […]
Cohere Releases Parse 5 (parse-v5.0): A 2.3B Vision Language Model That Turns Enterprise Documents Into Markdown
Cohere has released Parse (parse-v5.0), a document parsing model aimed at high-volume enterprise ingestion. It is a 2.3B-parameter vision language […]
Harvey Introduces Harvey Tenet: A Kimi K3 Base Post-Trained with Fireworks for Long-Horizon Legal Agent Work
Harvey has released Harvey Tenet, its first post-trained model, as a research preview as of today. Tenet is a Kimi […]
Building an End-to-End Document Intelligence Pipeline with deepDoctection
In this tutorial, we implement a document intelligence pipeline with deepDoctection 1.2.x that combines layout detection, table structure recognition, OCR, […]
Building Agentic Document Intelligence Pipelines: Creating Scientific Figures with AutoFigure
In this tutorial, we explore AutoFigure as a practical toolkit for generating scientific figures directly from text descriptions, paper-like content, […]
Liquid AI Releases LFM2.5-VL-3B: A 3B Vision-Language Model That Reads Screens, Grounds Objects, and Calls Tools On-Device
Yesterday, Liquid AI released LFM2.5-VL-3B. It is a 3.1B-parameter vision-language model built for on-device deployment. The model reads digital screens […]