enoch3712/ExtractThinker

ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.

48
/ 100
Emerging

ExtractThinker helps you automatically pull specific information from various documents like PDFs, images, and spreadsheets. You define what data you need (e.g., invoice numbers, dates) and it uses AI to find and present it in a structured format. This tool is for developers and data engineers who build applications requiring automated document understanding and data extraction from diverse sources.

1,492 stars. No commits in the last 6 months.

Use this if you are a developer building applications that need to precisely extract structured data or classify document types from a wide range of file formats using large language models.

Not ideal if you are an end-user looking for a no-code solution or a simple drag-and-drop tool to extract data without programming.

document-processing data-extraction AI-integration workflow-automation LLM-development
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 20 / 25

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Stars

1,492

Forks

145

Language

Python

License

Apache-2.0

Last pushed

Aug 27, 2025

Commits (30d)

0

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