ExtractThinker

About ExtractThinker

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

ai document-image-analysis document-intelligence document-parsing document-processing langchain llm machine-learning nlp ocr

Quick Facts

Stars	1,543
Forks	156
Language	Python
Category	AI Tool
License	Apache-2.0
Quality Score	36.65/100
Open Issues	34
Last Updated	2025-08-27
Created	2024-02-01
Platforms	python
Est. Tokens	~1394k

Compatible Skills

These tools work well together with ExtractThinker for enhanced workflows:

vision-agent — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (56%)
pdf-mcp — semantic(0.29)+complementary+rare_topics+same_lang+shared_platform (54%)
claude-office-skills — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)
pdf-reader-mcp — semantic(0.28)+complementary+rare_topics+similar_pop (54%)
mineru-tianshu — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)

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Frequently Asked Questions

What is ExtractThinker?

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 AI Tool with 1.5k GitHub stars.

What programming language is ExtractThinker written in?

ExtractThinker is primarily written in Python. It covers topics such as ai, document-image-analysis, document-intelligence.

How do I install or use ExtractThinker?

You can find installation instructions and usage details in the ExtractThinker GitHub repository at github.com/enoch3712/ExtractThinker. The project has 1.5k stars and 156 forks, indicating an active community.

What license does ExtractThinker use?

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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