Extract structured information from unstructured text with Google's open-source LangExtract library. Free, privacy-focused, and no registration required.
LangExtract is Google's revolutionary open-source Python library that leverages the power of Gemini AI models to extract structured information from unstructured text with unprecedented accuracy.
Every extracted entity is mapped back to its exact character offset in the source text, ensuring complete transparency and verifiability.
Controlled generation ensures consistent JSON outputs that match your specified schema, eliminating parsing errors.
Intelligent chunking strategies enable efficient extraction from documents of any length.
Discover why thousands of developers and businesses trust LangExtract for their information extraction needs.
No hidden costs, no subscription fees. LangExtract is open-source and free to use for everyone.
Your data stays on your device. We don't store or process your sensitive information.
Start using LangExtract immediately. No account creation, no email verification required.
Get structured information in seconds. Fast processing with Google's powerful Gemini models.
Join thousands of satisfied users who have transformed their text processing workflow
LangExtract combines the power of Google's Gemini AI with advanced information extraction techniques to deliver unparalleled accuracy and efficiency.
Paste your unstructured text or upload a document. LangExtract supports various formats including plain text, PDF, and Word documents.
LangExtract uses Gemini AI models to analyze your text, identify key entities, and understand context with remarkable accuracy.
Receive clean, structured JSON output with all extracted information, complete with source references and confidence scores.
LangExtract leverages Google's state-of-the-art Gemini AI models, providing cutting-edge natural language understanding and generation capabilities.
For long documents, LangExtract employs intelligent chunking strategies to maintain context while processing large amounts of text efficiently.
LangExtract offers a comprehensive suite of features designed to make information extraction effortless, accurate, and efficient for users of all technical levels.
Identify and extract people, organizations, locations, dates, and more
Understand relationships between extracted entities
Detect emotional tone and sentiment in text
Identify important keywords and phrases
Ensure output matches your specified JSON schema
Process multiple documents simultaneously
Get reliability metrics for each extraction
Easy integration with existing systems
Easy-to-use web interface for quick extractions
Visualize extracted entities and their relationships
Export results in multiple formats (JSON, CSV, XML)
Customize extraction rules and parameters
Experience the power of LangExtract with our interactive demo
"Apple Inc. announced today that CEO Tim Cook will attend the technology conference in San Francisco next month. The company, founded in 1976, has its headquarters in Cupertino, California."
{ "organizations": ["Apple Inc."], "persons": ["Tim Cook"], "locations": ["San Francisco", "Cupertino, California"], "dates": ["today", "next month"], "founded_year": 1976 }
Hear from developers and businesses who have transformed their workflow with LangExtract
Data Scientist
"LangExtract has revolutionized how we process customer feedback. The accuracy is incredible, and the fact that it's free makes it even better."
Software Engineer
"The structured output format is exactly what we needed for our project. Integration was seamless, and the performance exceeded our expectations."
Research Analyst
"Being able to process documents in multiple languages has been a game-changer for our international research. LangExtract handles it all beautifully."
Find answers to common questions about LangExtract
LangExtract is completely free for everyone. No hidden fees, no subscriptions, no limits.
Everything you need, no cost involved
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LangExtract is open-source and available on GitHub. Contribute to the project