fastdocparse
by Community
Extract structured data from semi-structured documents using any OpenAI-compatible LLM, with per-field grounding and confidence.
OSS
fastdocparse
Added 1 Oct 2026
Overview
fastdocparse is a Python library that extracts structured data from semi-structured documents using any OpenAI-compatible LLM. It provides per-field grounding and confidence scores, allowing developers to verify which parts of the source document support each extracted value.
Best for
Best for
Developers who need transparent LLM-based document parsing with confidence checks.
Use cases
- Parse semi-structured documents into structured JSON
- Add confidence scores to extracted fields
- Ground LLM outputs to source text for verification
Notes
12 stars on GitHub. Last updated 2026-09-21. Licensed MIT.
Pros
- Works with any OpenAI-compatible API
- Per-field confidence and grounding
- Lightweight Python library
Cons
- Small community with limited adoption
- Requires external LLM API access
- Best suited for semi-structured inputs only
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