enoch3712 / ExtractThinker
ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.
Why this job: topics: document-parsing, ocr
What it does
ExtractThinker is an open-source Python library for turning documents into typed data. Define a Pydantic contract, choose a document parser and LLM, then load, classify, split and extract.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 55 days ago
- Stars
- 1,604
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.1.14
- Released 17 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 156 merged
- 5 waiting
- Releases
- 43
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics, project record and preview image
Languages
- Python 100%
- Dockerfile <1%
Topics
- ai
- document-image-analysis
- document-intelligence
- document-parsing
- document-processing
- langchain
- llm
- machine-learning
- nlp
- ocr
- openai
Project record
- JobRAG and search
- StatusListed
- Commits488
- Forks156
- Watching19
- Stars in 28 days+6
- CreatedFeb 1, 2024
- First seen by usNov 7, 2026
- CheckedNov 7, 2026