README.md

metadata

title: VerifyDoc
emoji: 🔒
colorFrom: green
colorTo: blue
sdk: static
app_file: index.html
pinned: true
license: apache-2.0
short_description: Which extracted document values should you trust?
tags:
  - document-ai
  - ocr
  - information-extraction
  - calibration
  - hallucination-detection

VerifyDoc — the trust layer for document → JSON extraction

A free static Space: the VerifyDoc review cockpit, calling the hosted VerifyDoc API. Paste a receipt or invoice, pick a schema, click Verify — every field comes back with a calibrated confidence, a source grounding, and an accept / review decision. Confident, grounded fields are auto-accepted; the rest are highlighted for review.

• Local extraction runs on the hosted backend for free.
• The Claude model is bring-your-own-key: paste your Anthropic key; it is used only for that request and never stored.

index.html is generated from the packaged review cockpit (verifydoc/server/review.html) by scripts/build_hf_static.py, with its API calls pointed at the hosted backend.

Links

• ⭐ GitHub: https://github.com/bhaskargurram-ai/verifydoc
• 📦 PyPI: pip install verifydoc — https://pypi.org/project/verifydoc/
• 📖 Docs: https://bhaskargurram-ai.github.io/verifydoc/

Private by default — self-host the whole app on your own infra: docker run -p 8000:8000 ghcr.io/bhaskargurram-ai/verifydoc.