Powered by Google's LangExtract

Extract Structured Data from Any Text

Transform unstructured text into organized, actionable information using state-of-the-art language models. Extract entities with precise source mapping, interactive visualization, and few-shot learning - no fine-tuning required.

Any Document Type

Clinical notes, reports, literature, emails - extract from any text format

Lightning Fast

Parallel processing and optimized chunking for rapid extraction

Precise Mapping

Every extraction linked to exact source location with highlighting

Powerful Features for Text Extraction

Everything you need to extract structured information from unstructured text with confidence and precision.

LLM-Powered Extraction

Leverage Google Gemini and other state-of-the-art language models for intelligent text understanding and extraction.

Precise Source Mapping

Every extracted entity is mapped to its exact character position in the source text for complete traceability.

Multi-Pass Processing

Configurable extraction passes ensure high recall rates, catching information that might be missed in a single pass.

Interactive Visualization

Generate beautiful HTML visualizations with highlighted entities and smooth animations for easy verification.

Production Ready

Built for scale with parallel processing, smart chunking, and optimized performance for large documents.

Domain Agnostic

Works across any domain - medical, legal, scientific, or general text - with just a few examples.

Schema Enforcement

Ensure consistent output structure with schema constraints and controlled generation capabilities.

Easy Integration

Simple Python API with comprehensive documentation makes integration into existing workflows seamless.

Example Use Cases

Medical Information Extraction

Extract medications, dosages, diagnoses, and procedures from clinical notes and medical records with high accuracy.

Document Analysis

Analyze contracts, research papers, and reports to extract key terms, entities, and relationships automatically.

Literature Processing

Extract characters, emotions, plot elements, and themes from literary texts for analysis and research.

Data Mining

Transform unstructured customer feedback, emails, and social media into structured insights and analytics.

Frequently Asked Questions

Everything you need to know about LangExtract

Ready to Transform Your Text Processing?

Start extracting structured information from your documents today. Integrate LangExtract into your Python projects with a single pip install.