langextract
LangExtract — LLM-Powered Structured Extraction
Google open-source Python library (34.7k ⭐) for extracting structured information from unstructured text with source grounding, interactive visualization, and support for Gemini, OpenAI, Ollama, and custom providers.
When to use this skill
- Extract entities, relationships, or attributes from clinical notes, reports, or any text
- Map every extraction back to its exact location in the source (source grounding)
- Process long documents via automatic chunking + parallel LLM calls
- Visualize thousands of extractions in an interactive, self-contained HTML file
- Run local inference without API keys using Ollama
- Define custom extraction schemas without fine-tuning — just a prompt + few examples
Instructions
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