ag-docparse
LLM-based structured extraction from documents.
Loads PDF or text documents and extracts typed fields with an LLM, using built-in schemas (invoice, loan application, W-2, NDA, contract) or a custom JSON schema.
Install
pip install "ag-docparse[all]"
npm install ag-docparse
Extras: openai, anthropic, pdf (pdfplumber), all.
Usage
from ag_docparse import INVOICE_SCHEMA, LLMExtractor, from_text
layout = from_text("Invoice INV-001, total due 1,250.00 EUR by 2026-11-30.")
result = LLMExtractor(model="gpt-4o-mini").extract(layout, INVOICE_SCHEMA) # needs OPENAI_API_KEY
print(result)
Command line: ag-docparse extract -f invoice.pdf -s invoice and ag-docparse schemas.
The TypeScript package ag-docparse is a port of the core classes.
Self-hosted API
AsyncJobClient submits large documents as asynchronous jobs to a self-run ag-platform deployment: AsyncJobClient(api_key=..., base_url=...) (TypeScript: baseUrl). There is no default endpoint.
Development
cd packages/python && pip install -e ".[all]" && pytest
cd packages/typescript && npm ci && npm test
License
MIT, Copyright (c) 2026 Adnan Ghribi.
1 maintainer
Metadata
1 maintainer
Release files for ag-docparse 0.6.0
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