
Kushal Byatnal
@kushalbyatnal • 7,806 subscribers
building @extendHQ, the best document processing API for agents
Shorts
Videos

introducing Jevbox: an open-source document drive that organizes itself, answers questions, and cites everything (all powered by Jev). TLDR; - upload anything and Jev categorizes and files it into the folder tree - search is hierarchical: Jev picks the folder, then the document, then the section. No embeddings, no vector DB - every answer cites the page and section it came from - permissions are enforced at retrieval. If someone loses access to a source, they lose access to answers built on it too - ships with an MCP server, so your agents get the same permission-aware context Andrew Luo has been experimenting with Jev internally and wanted to see how far it could go on a real document library. It's built on Extend Parse + Jev, and fully open-source The GitHub has instructions to self-host, or you can deploy it to Render in one click
Kushal Byatnal179,446 Aufrufe • vor 24 Tagen

Over 1 billion PDFs are created every day, but your agents still can’t read them reliably. Today we’re releasing Parse 2.0, the most accurate document parsing API in the world. Extend already processes millions of pages daily for leading AI teams like Brex, Mercury, Opendoor, Flatiron Health, and hundreds of others. Now, its even better. Parse 2.0 is SOTA quality on RealDoc-Bench, our open source benchmark that measures agent success rate on real world docs that agents actually encounter in production. We trained Parse 2.0 on 1M+ pages of the hardest documents seen in production. Here’s how it stacks up: - #1 in healthcare, real estate, logistics, and financial services - 95.7% agent Q&A accuracy on 581 docs (next best: 92%) - 0.847 F1 on layout (next best: 0.759) Give it a try today and build production-ready document agents with Extend.
Kushal Byatnal589,621 Aufrufe • vor 5 Monaten

AI-generated fake documents grew 500% last year, and humans can no longer tell the difference That's why we’re launching Extend Verify, the first document fraud detection API built for agents Verify catches the fastest growing types of document fraud, including: - fully AI-generated documents - localized AI edits (down to a single modified character) - patched text, overlays, and in-painting from Photoshop, PDF editors, and coding agents - digital tampering after a document was signed - and many more In our internal evals, Verify detected over 96% of AI-generated and tampered documents. Verify is available today:
Kushal Byatnal27,797 Aufrufe • vor 7 Tagen

introducing operator-1, an autonomous document extraction agent operator-1 saturates multiple 3rd party benchmarks, and delivers the most accurate performance on complex tasks that other solutions can't handle: > long tables with thousands of rows > lengthy files with context scattered across hundreds of pages > dense diagrams and images > much more! operator-1 is a specialized agent we built that: - runs within a custom workspace - knows how to use dedicated tools (parse, search, zoom, code execution, validation) to handle any document - learns via persistent memory
Kushal Byatnal53,180 Aufrufe • vor 19 Tagen

today, we're launching Light Parse Extend can now parse documents up to 70% cheaper than other solutions - light parse starts at $0.00625 per page, and scales down significantly with volume discounts - it's SOTA on Databricks OfficeQA Pro (a 3rd party agent benchmark) among all non-agentic parsing providers our ML/AI team trained smaller and more efficient layout, table, and form vision models to enable significant cost reduction without impacting accuracy on many types of documents live today for all users!
Kushal Byatnal49,802 Aufrufe • vor 2 Monaten

today, we're open sourcing the Extend CLI watch Fable use it to parse and extract an entire corpus of documents — end to end, without leaving the terminal try it yourself: npm install -g @extend-ai/cli it comes with a built-in agent skill, so claude code/codex/cursor know how to drive it out of the box
Kushal Byatnal40,134 Aufrufe • vor 4 Monaten

Introducing Composer — the first AI Agent for document processing. Get to production-grade accuracy, autonomously in minutes. In our early beta, some teams hit 99% accuracy on complex document tasks in under 10 minutes. Composer is an agent built to optimize schemas the same way a human would (but way faster). Instead of tuning prompts by hand, you point Composer at your eval set inside Extend. Composer will: - analyze where your schema falls short - propose targeted improvements - run multiple experiments in parallel - surface diffs, accuracy gains, and traces behind each change With this launch, Extend is the only product on the market that helps you reach production-grade accuracy this fast. Composer is live for all Extend customers today! Try it out at the link in comments below.
Kushal Byatnal75,262 Aufrufe • vor 1 Jahr
Keine weiteren Inhalte verfügbar