impira/docquery

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1775 stars · 133 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

DocQuery is a Python library and CLI tool that uses large language models to answer questions about semi-structured and unstructured documents such as PDFs and scanned images. It provides a document-question-answering pipeline and a Document abstraction for parsing files, with OCR support via tesseract.

Use cases

• extract invoice numbers from pdf invoices
• ask questions about scanned documents
• find effective dates in a folder of contracts
• parse information from unstructured documents
• document question answering with python
• ocr and query scanned images

When to choose

• you need to extract specific fields from PDFs or scanned images via natural language questions
• you want both a CLI for batch document scanning and a Python library
• you want a simple document-question-answering pipeline built on transformers

When to avoid

• you need actively maintained software with recent updates and support
• you need high-throughput production document processing at scale
• you need general-purpose OCR only, without question answering

Facets

library · maturity maintenance

nlp ocr pdf machine-learning llm-inference cli pdf machine-learning developer-tools python cli windows document-question-answering document-parsing invoice-extraction ocr transformers natural-language-processing documents macos linux

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