# 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. Use when this capability is needed. - Skill: `tomevault-io/langextract-llm-powered-structured-text-extraction` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/langextract-llm-powered-structured-text-extraction` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/langextract-llm-powered-structured-text-extraction/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/langextract-llm-powered-structured-text-extraction --- # 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/) --- > Source: [agentskillexchange/skills](https://github.com/agentskillexchange/skills) — distributed by [TomeVault](https://tomevault.io).