LangExtract

Gemini-Powered Information Extraction

Extract structured information from unstructured text with Google's open-source LangExtract library. Free, privacy-focused, and no registration required.

100K+
Active Users
50M+
Extractions
99.9%
Accuracy

What is LangExtract?

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.

Precise Source Grounding

Every extracted entity is mapped back to its exact character offset in the source text, ensuring complete transparency and verifiability.

Reliable Structured Outputs

Controlled generation ensures consistent JSON outputs that match your specified schema, eliminating parsing errors.

Optimized Long-Context

Intelligent chunking strategies enable efficient extraction from documents of any length.

Why Choose LangExtract?

Discover why thousands of developers and businesses trust LangExtract for their information extraction needs.

Completely Free

No hidden costs, no subscription fees. LangExtract is open-source and free to use for everyone.

Privacy First

Your data stays on your device. We don't store or process your sensitive information.

No Registration

Start using LangExtract immediately. No account creation, no email verification required.

Instant Results

Get structured information in seconds. Fast processing with Google's powerful Gemini models.

Trusted by Industry Leaders

Join thousands of satisfied users who have transformed their text processing workflow

Fortune 500
Startups
Research Labs
Developers

How LangExtract Works

LangExtract combines the power of Google's Gemini AI with advanced information extraction techniques to deliver unparalleled accuracy and efficiency.

1

Input Your Text

Paste your unstructured text or upload a document. LangExtract supports various formats including plain text, PDF, and Word documents.

2

AI Processing

LangExtract uses Gemini AI models to analyze your text, identify key entities, and understand context with remarkable accuracy.

3

Get Structured Data

Receive clean, structured JSON output with all extracted information, complete with source references and confidence scores.

Technical Architecture

Powered by Gemini

LangExtract leverages Google's state-of-the-art Gemini AI models, providing cutting-edge natural language understanding and generation capabilities.

  • Advanced context understanding
  • Multilingual support
  • High accuracy extraction

Smart Chunking

For long documents, LangExtract employs intelligent chunking strategies to maintain context while processing large amounts of text efficiently.

  • Preserves context across chunks
  • Optimized for performance
  • Scalable to any document size

Powerful Features

LangExtract offers a comprehensive suite of features designed to make information extraction effortless, accurate, and efficient for users of all technical levels.

Core Features

  • Entity Recognition

    Identify and extract people, organizations, locations, dates, and more

  • Relation Extraction

    Understand relationships between extracted entities

  • Sentiment Analysis

    Detect emotional tone and sentiment in text

  • Keyword Extraction

    Identify important keywords and phrases

Technical Features

  • Schema Validation

    Ensure output matches your specified JSON schema

  • Batch Processing

    Process multiple documents simultaneously

  • Confidence Scores

    Get reliability metrics for each extraction

  • API Integration

    Easy integration with existing systems

User Experience

  • Web Interface

    Easy-to-use web interface for quick extractions

  • Interactive Visualization

    Visualize extracted entities and their relationships

  • Export Options

    Export results in multiple formats (JSON, CSV, XML)

  • Customization

    Customize extraction rules and parameters

See It in Action

Experience the power of LangExtract with our interactive demo

Input Text

"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."

Extracted Information

{
  "organizations": ["Apple Inc."],
  "persons": ["Tim Cook"],
  "locations": ["San Francisco", "Cupertino, California"],
  "dates": ["today", "next month"],
  "founded_year": 1976
}

What Users Say

Hear from developers and businesses who have transformed their workflow with LangExtract

User

Sarah Chen

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."

User

Marcus Johnson

Software Engineer

"The structured output format is exactly what we needed for our project. Integration was seamless, and the performance exceeded our expectations."

User

Elena Rodriguez

Research Analyst

"Being able to process documents in multiple languages has been a game-changer for our international research. LangExtract handles it all beautifully."

Frequently Asked Questions

Find answers to common questions about LangExtract

Simple, Transparent Pricing

LangExtract is completely free for everyone. No hidden fees, no subscriptions, no limits.

Free Forever

Everything you need, no cost involved

Unlimited Usage

Community Support

Regular Updates

LangExtract is open-source and available on GitHub. Contribute to the project