Shypd.aiThe largest open index of AI toolsLangExtract is a Python library that uses LLMs to extract structured information from unstructured text. It offers precise source grounding, interactive visualization, and optimized processing for long documents.
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LangExtract is a Python library designed for extracting structured information from unstructured text documents using Large Language Models (LLMs). It ensures precise source grounding by mapping every extraction to its exact location in the source text, enabling visual highlighting for traceability. The library provides reliable structured outputs by enforcing consistent schemas based on user-defined examples and leveraging controlled generation in supported models like Gemini. It's optimized for long documents, overcoming the "needle-in-a-haystack" challenge through text chunking, parallel processing, and multiple passes for higher recall. LangExtract also generates interactive HTML visualizations to review extracted entities in their original context and supports various LLMs, including cloud-based models like Google Gemini and local open-source models via Ollama. It's adaptable to any domain, allowing users to define extraction tasks with few-shot examples without requiring model fine-tuning.
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