LLM framework for document data extraction - AI tools

ContextGem is a free, open-source LLM framework designed to simplify the extraction of structured data and insights from various documents with minimal coding effort.

• Free

Unstract is a no-code platform that eliminates manual processes involving unstructured data using LLMs. It offers efficient and accurate document processing for various formats, reducing turnaround times and improving accuracy.

• Freemium
• From 499$

l1m is a proxy API simplifying structured data extraction from unstructured text and images using Large Language Models (LLMs), requiring no prompt engineering.

• Freemium

Reducto parses complex documents and transforms them into LLM-ready inputs with exceptional accuracy, streamlining data processing for various industries.

• Paid
• From 300$

Cloudsquid is an AI-powered platform that transforms unstructured documents into structured data using Large Language Models (LLMs) and automates workflows.

• Freemium
• From 432$

Extend is an advanced document processing platform that uses LLMs to transform complex documents into high-quality structured data with over 95% accuracy, enabling businesses to automate document workflows in days instead of months.

• Paid
• From 500$

Extractor API provides clean text and metadata extraction from articles, web pages, and PDFs using AI, handling complexities like IP rotation and JavaScript rendering. Ideal for AI/ML data collection.

• Freemium

Supametas.AI is a low-code/code-free platform designed for enterprises to process unstructured data from various sources into structured formats suitable for Large Language Model (LLM) Retrieval-Augmented Generation (RAG) knowledge bases.

• Freemium
• From 9$