Extract (YC P25) – Fast, accurate document parsing
Per-span confidence scores let you review uncertain OCR before trusting 200k-page runs.

NotebookLM does citation-accurate PDF AI already, and the project link is blocked.
Researchers and writers
NotebookLM · ChatPDF · Cursor
Been building this for 2 years w/ my best friend. We find big-name AI tools pretty unusable for serious writing tasks, research work, and really kind of workflows that require accurate citations.
We were deeply inspired by Cursor AI , Drive, and Google Scholar. These tools are all so helpful for us and changed the way that we worked with information and technology throughout our lives.
Most of the time we only want to use AI for specific, assistive tasks like scraping through a ton of files for quotes, searching for new sources, or when we do want to generate text it needs to be accurate, it needs to follow specific directions without rewriting or hurting my work, and it must always check with me so I can verify that agents are working on the right track.
We built Ubik Studio to solve these problems that also feel like larger issues preventing tons of people from using AI in their serious work effectively.
You can work from local files and folder (without touching the cloud), use any model, and always work with cited text.
Learn more: www.ubik.studio/features
We would love for your feedback
Always feel free to say hi,
Per-span confidence scores let you review uncertain OCR before trusting 200k-page runs.
Claude plan review UI, but only works inside Claude Code's closed ecosystem.
ProofPudding returns extraction results with explicit links back to the exact page and source text, supports native and scanned PDFs plus DOCX/images, and ships Python/TypeScript SDKs — handy for agents that need auditable facts. It’s a pragmatic product (per-extraction pricing and confidence scores are nice), but the market is crowded; I want clarity on underlying models, real-world accuracy numbers, and how it compares to Document AI/Textract in edge cases.
Themed faker.js alternative with 25+ universes for better demo data.
Plan review loop with markup feedback—but agent planning UI is already Claude's bottleneck, not yours.
45 annotation lines replace 130 lines of getopts—no dependencies, bash 3.2+ compatible.