LlamaIndex offers LiteParse
ProductOperating Status: Currently Offered
Open-source local document parser for AI agents with no cloud dependency.
Open-source local document parser for AI agents with no cloud dependency.
LiteParse is LlamaIndex's open-source local document parsing tool designed for AI agents. It provides fast, self-hosted document parsing without requiring cloud services or LLM tokens.
Available as both a CLI tool and Python package, LiteParse has gained over 4,300 GitHub stars. It enables developers to parse documents locally while maintaining data privacy and reducing cloud costs.
Landing AI Agentic Document Extraction automates complex government document processing with vision-enabled AI agents.
Parallel Extract converts public URLs into markdown content or objective-focused excerpts.
Governed, citation-grounded assistant embedding Summarize, Analyze, and Create in public-safety workflows on Peregrine Foundation data.
Secure AI analysis workspace turning large volumes of reports, documents, and open-source information into structured, source-cited insight.
Landing AI Agentic Document Extraction automates complex government document processing with vision-enabled AI agents.
Parallel Extract converts public URLs into markdown content or objective-focused excerpts.
Production LLM applications built with LangChain and LangGraph.
Ask Sage GenAI Platform supports government document analysis, policy checks, and agent workflows.
Mintlify's platform helps teams create and maintain documentation and knowledge bases for human readers and AI agents.
Typed Pydantic AI agents with validated outputs and observability.
Open-source Python libraries for cleaning, chunking, embedding, and storing data for retrieval-augmented generation and large language model pipelines.
Firecrawl Scrape gives AI teams a web extraction API that renders pages and returns structured content.
Pydantic validation, agent runtime, and observability across one lifecycle.
Selfr's analytics agent answers structured-data questions using a non-autoregressive model built not to hallucinate.
Lexoid is Oid Labs open-source document parser for Markdown.
Governed, citation-grounded assistant embedding Summarize, Analyze, and Create in public-safety workflows on Peregrine Foundation data.
Secure AI analysis workspace turning large volumes of reports, documents, and open-source information into structured, source-cited insight.
Retrieval layer grounding agent answers in your own documents.
Context.dev offers an API for structured data extraction.
Production LLM applications built with LangChain and LangGraph.
Ask Sage GenAI Platform supports government document analysis, policy checks, and agent workflows.
Mintlify's platform helps teams create and maintain documentation and knowledge bases for human readers and AI agents.
Typed Pydantic AI agents with validated outputs and observability.
Open-source Python libraries for cleaning, chunking, embedding, and storing data for retrieval-augmented generation and large language model pipelines.
Firecrawl Scrape gives AI teams a web extraction API that renders pages and returns structured content.
Pydantic validation, agent runtime, and observability across one lifecycle.
Selfr's analytics agent answers structured-data questions using a non-autoregressive model built not to hallucinate.