everyone is sleeping on this new JSON extraction model!

- open-weights
- matches Gemini Flash 3.5
- while being 3x faster

pulling structured data out of documents usually takes a chain of OCR, an LLM, and extra code to repair broken JSON.

lift, from @datalabto, does all of you give lift a PDF or image along with a JSON schema, and get back a JSON object that matches that schema.

the model reads every page of a document in one pass, so values that span multiple pages still come out right. any document you can describe in a schema works, from invoices to research papers.

here's what you get with lift:

- 90.2% field accuracy on 11,000 fields
- 9B model, nearly matches Gemini Flash 3.5 at 3x the speed
- built not to hallucinate; returns null if missing
- self-hostable with vLLM or Hugging Face

GitHub repo: github.com/datalab-to/lift

(don't forget to star ๐ŸŒŸ)
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Replying to @akshay_pachaar
@akshay_pachaar @datalabto Nice for docs you already have. For pages still on the open web, we split the job:

Search โ†’ shortlist โ†’ Extract to main-content markdown โ†’ *then* structured parse. Schema extractors hate nav/cookie chrome more than missing OCR.

agentsearchhq.com/extract?utm_soโ€ฆ

Oct 3, 2026 ยท 5:27 PM UTC

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