LangExtract by Google is a Python library for extracting structured information from unstructured text using LLMs with precise source grounding. With 35,000+ GitHub stars, it handles everything from clinical notes to literary analysis, producing verified extraction results with exact source text mappings and interactive visualizations.
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Added June 8, 2026
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---
name: "LangExtract LLM-Powered Structured Text Extraction"
slug: "langextract-llm-structured-text-extraction"
description: "LangExtract by Google is a Python library for extracting structured information from unstructured text using LLMs with precise source grounding. With 35,000+ GitHub stars, it handles everything from clinical notes to literary analysis, producing verified extraction results with exact source text mappings and interactive visualizations."
github_stars: 35042
verification: "security_reviewed"
source: "https://github.com/google/langextract"
category: "Data Extraction & Transformation"
framework: "Custom Agents"
tool_ecosystem:
github_repo: "google/langextract"
github_stars: 35042
---
# LangExtract LLM-Powered Structured Text Extraction
LangExtract by Google is a Python library for extracting structured information from unstructured text using LLMs with precise source grounding. With 35,000+ GitHub stars, it handles everything from clinical notes to literary analysis, producing verified extraction results with exact source text mappings and interactive visualizations.
## Installation
Use the upstream install or setup path that matches your environment:
- pip install langextract
- git clone https://github.com/google/langextract.git
- pip install -e .
- pip install -e ".[dev]"
Requirements and caveats from upstream:
- LangExtract is a Python library that uses LLMs to extract structured information from unstructured text documents based on user-defined instructions. It processes materials such as clinical notes or reports, identifyi...
- **Note:** Using cloud-hosted models like Gemini requires an API key. See the [API Key Setup](#api-key-setup-for-cloud-models) section for instructions on how to get and configure your key.
- python
Basic usage or getting-started notes:
- [Quick Start](#quick-start)
- Extract structured information with just a few lines of code.
- ### 1. Define Your Extraction Task
- Source: https://github.com/google/langextract
- Extracted from upstream docs: https://raw.githubusercontent.com/google/langextract/HEAD/README.md
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/langextract-llm-structured-text-extraction/)
