Announcing jina-ocr-v1, our new visual document parser with 3.4B... total parameters and 570M active parameters, with speculative decoding built in. Throw PDFs, scans, tables, charts, or invoices at it and get clean markdown back. Available on 🤗 & Jina Reader `x-respond-with` todayshow more

Announcing llama-ocr – a free + open source OCR... tool! It takes documents (images for now) & outputs markdown, and does really well for complex receipts, PDFs with tables/charts, ect... Powered by Llama 3.2 vision on Together AI & available on npm today!show more

Mistral unveiled Large 4, a 1T-parameter multimodal model with... 49B active parameters. It reports results in cyber, manufacturing, finance and visual grounding. API available; weights due end-Oct.show more

Solar Mini 4 from Upstage is free on Nous... Portal for the next two weeks It has 3B active parameters (35B total), 512K context, and an Artificial Analysis Intelligence Index score of 24 - above models with 10x the active parametersshow more

Introducing our /parse endpoint 🔥 Convert any document into... clean data for AI agents via API. - Turn PDF, DOCX, and XLSX files into Markdown or JSON - Preserves reading order and tables - Zero Data Retention support All powered by our 5x faster Rust-based parser.show more

🔥 New on File to Markdown ⚡ Drop any... file → get clean, AI-ready Markdown back. 📄 PDFs, DOCX, ODT 📊 Excel, Numbers, CSV 🖼 Images (AI-powered OCR + summarization) Upload or paste a URL. API included, no key needed. Free. No signup. Details:show more

Watch our new Rust-based parser turn a 200+ page... PDF packed with text, charts, and graphs into clean Markdown in seconds. Earnings calls, whitepapers, market research - Firecrawl can handle them all, giving you structured data ready for your AI pipeline.show more

Ling-3.0-flash, the new MoE model from Ant Ling, is... now free in Nous Portal for the next week! At 124B parameters and 5.1B active, it's quick to run and built for agent workloads: coding, search, research, and tool use. Try it free today atshow more

Turn any PDF, image, DOCX, or PPTX into clean... Markdown! Production workloads contain millions of pages, mixed formats, inconsistent layouts, low-quality scans, and documents written in dozens of languages. Datalab Marker v2 (open-source with 40k stars) handles that workload at scale through one open-source document parsing pipeline. It recovers: - Reading order - Complex equations - Images and captions - Tables and nested tables - Text from scanned pages - Headings and page structure It can return Markdown, JSON, or HTML for RAG pipelines, search indexes, data extraction systems, document agents, and archive migrations. Marker v2 runs at up to 23.7 pages per second on a single B200 GPU and supports more than 90 languages. GitHub repo: (don’t forget to star it ⭐) I recently used Datalab to build an agent that scans an identity document, extracts the required fields, and fills a tax form automatically. The article covers the full workflow, including document parsing, structured extraction, field mapping, and form completion. Read it below.show more

We're launching 5x faster document parsing in the Firecrawl... MCP. Use /parse to turn PDFs, spreadsheets, and docs into LLM-ready data for your agents. Supports running locally or with our hosted MCP server. Try it out today with no API key required on our free tier!show more

Meet Mistral Large 4, aka Le Chonk. • 1T... parameters, natively multimodal. 49B active. It is the best open weights model from US or Europe on aggregated benchmarks. • State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding. • Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure. • Available to all via API today. Working with cybersecurity partners privately. Open weights release end of October.show more

New in Reader: Ghostreader v3 on web! Chat with... any document, now: * Much faster * Links to the exact sources in your document * Preset prompts (eg summarize, lookup) built inshow more

You want to serve large OCR models at low... latency? I've been playing around with speculative decoding for Vik Paruchuri/Datalab's Chandra 2 and I'm releasing an initial EAGLE-3.1 model that gets a ~2x speedup at small batch sizes!show more

Introducing olmOCR, our open-source tool to extract clean plain... text from PDFs! Built for scale, olmOCR handles many document types with high throughput. Run it on your own GPU for free—at over 3000 token/s, equivalent to $190 per million pages, or 1/32 the cost of GPT-4o!show more

Is it over? Are we so back? Just check... your finger Announcing our official integration with TradingView The industry leader for charts, chats, and marketsshow more

OpenAI has deployed interactive charts and tables in ChatGPT.... You can now interact with your data and process it with GPT-4o. Here's how it works and what you can do with it:show more

Upload PDFs Now ✨ 📄 Upload whitepapers, reports, or... any document and ask June to summarize or analyze it 🔐 Your files stay private and they are never stored on our side. Try it now and get deep insights in seconds.show more

Grok 4.5, with 1.5 T parameters, will be three... times as large as Grok 4.3. Grok 5 is training on even larger models with 6 and 10 trillion parameters. Both are expected to be released later this year.show more

The NVIDIA AI team shipped Nemotron 3.5 Super VL... today, and you can call it now on CoreWeave Serverless Inference. Send it text and images, build with supported reasoning, tool calling and structured outputs, and trace every call in CoreWeave Agent Lens. It's a multimodal mixture-of-experts model with 12B active parameters, served in NVFP4. Pricing per 1M tokens is $0.25 input, $1.50 output, and $0.05 cached input. Try it here:show more

visualizing the lorenz attractor with claude code, threejs, webgl... shaders formula and parameters shownshow more