LiteParse
LlamaIndex's open-source document parser, published on GitHub for teams that want parsing in their own process rather than through LlamaCloud.
Find alternatives to LiteParse
Open source, published at github.com/run-llama/liteparse; no charge.
What it does
- Document extraction
Sources
- Pricing
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Open source, published at github.com/run-llama/liteparse; no charge.
- Description
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Official documentation · 5 Sep 2026
LlamaIndex's own page for it, fetched 2026-09-05, HTTP 200, and its 'View on GitHub' link to run-llama/liteparse.
- Sold within
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Official documentation · 15 Sep 2026
llamaindex.ai/liteparse (already cited official-docs elsewhere on this record); installed from source on the buyer's own machine, not sold inside LlamaCloud.
Also from LlamaIndex
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LlamaParse API service
Document parsing for LLM pipelines: layout-aware, agentic extraction that turns PDFs, contracts and forms into structured text a retrieval system can index, with an LLM or VLM reading the page when basic parsing is not enough.
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LlamaIndex Index Data service
The indexing half of LlamaCloud: intelligent chunking and embedding that turns parsed documents into a searchable knowledge base for agents.
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LlamaIndex Developer tool
The open-source framework the company is named for: SDKs for building context-aware agents over a company's own data, with Workflows for orchestration.
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LlamaExtract Data service
Extracts structured data from complex documents using custom schemas, with field-level confidence scores and citations back to source.
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