“data extraction”

Web scraping and browser automation library for Node.js, covering link discovery, data extraction and storage.

Python library and API that uses LLMs to extract structured data from websites and local documents.

API that parses PDFs and images into grounded Markdown and extracts typed fields with a schema.

Platform that uses LLM prompts to turn unstructured documents into structured JSON, deployable as an API or ETL pipeline.

Microsoft Research pipeline that builds knowledge graphs from text to improve LLM question answering.

Open-source tool that converts PDFs, images and Office files to markdown, JSON, chunks and HTML.

Web search, extraction, crawling and research-agent APIs that return live web data to AI agents.

APIs that turn public web pages and entities into structured, verified facts for AI applications.

Document processing infrastructure for AI agents that parses, extracts, splits and verifies documents.

Web data infrastructure for agents: Fetch, Extract, Crawl, Batch and Browser Sessions over API, CLI, MCP or SDK.

Open-source document intelligence API that converts PDFs, Office files and images into RAG-ready chunks.

Context engine that indexes, retrieves and extracts entities from documents for agents.

Agentic document platform for parsing, extracting, splitting, classifying and editing documents.

Real-time web search API that returns ranked results as structured data, with domain, language and region filters.

Context layer for AI agents that ingests content and serves search, knowledge graphs and cited answers.

AI parsing tool that turns complex documents, tables and charts into clean markdown at scale.