by enoch3712 · LLM Plugin · ★ 1.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
ExtractThinker ExtractThinker is a flexible document intelligence tool that leverages Large Language Models (LLMs) to extract and classify structured data from documents, functioning like an ORM for seamless document processing workflows. TL;DR Document Intelligence for LLMs 🚀 Key Features Flexible Document Loaders: Support for multiple document loaders, including Tesseract OCR, Azure Form Recognizer, AWS Textract, Google Document AI, and more. Customizable Contracts: Define custom extraction contracts using Pydantic models for precise data extraction. Advanced Classification: Classify documents or document sections using custom classifications and strategies. Asynchronous Processing: Utilize asynchronous processing for efficient handling of large documents. Multi-format Support: Seamlessly work with vari
| Stars | 1,577 |
| Forks | 155 |
| Language | Python |
| Category | LLM Plugin |
| License | Apache-2.0 |
| Quality Score | 61.5623898744908/100 |
| Open Issues | 34 |
| Last Updated | 2025-08-27 |
| Created | 2024-02-01 |
| Platforms | python |
| Est. Tokens | ~16k |
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ExtractThinker is ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.. It is categorized as a LLM Plugin with 1.6k GitHub stars.
ExtractThinker is primarily written in Python. It covers topics such as ai, document-image-analysis, document-intelligence.
You can find installation instructions and usage details in the ExtractThinker GitHub repository at github.com/enoch3712/ExtractThinker. The project has 1.6k stars and 155 forks, indicating an active community.
ExtractThinker is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
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