AI Document Extraction Software with confidence scores and citations | Extract - LlamaIndex
AI Document Extraction Software with confidence scores and citations | Extract Introducing Extract v2.5: Next-Gen Document Extraction Agents -> Extract structured data from documents using custom schemas Gain targeted insights from complex documents, with granular citations and confidence scores Extract the right data — with visibility into how and why Quantify extraction certainty by individual columns Trace data to the...

- Extract key findings, conclusions, authors Extract sentiment, speaker quotes, decisions Designed for developers.
- Documented for clarity Live notebooks + examples UI API TypeScript SDK Python SDK Trusted by leading AI builders and enterprise teams We’ve helped leading teams go from prototype to production with real-world results.
- Cemex, a global construction materials company, has successfully applied AI across its operations since 2018.
AI Document Extraction Software with confidence scores and citations | Extract Introducing Extract v2.5: Next-Gen Document Extraction Agents -> Extract structured data from documents using custom schemas Gain targeted insights from complex documents, with granular citations and confidence scores Extract the right data — with visibility into how and why Quantify extraction certainty by individual columns Trace data to the source with explanations Capture names, dates, numbers, decisions, and more Uses reasoning for superior accuracy extraction Define your own schema or auto detect fields from your source document Different parsing modes to optimize for the right balance of cost and accuracy Works with any document. Solves for every workflow. Extract key findings, conclusions, authors Extract sentiment, speaker quotes, decisions Designed for developers. Documented for clarity Live notebooks + examples UI API TypeScript SDK Python SDK Trusted by leading AI builders and enterprise teams We’ve helped leading teams go from prototype to production with real-world results. Cemex, a global construction materials company, has successfully applied AI across its operations since 2018. LlamaParse has significantly boosted our development process; from taking weeks to develop to delivering value in a few hours. As an Applied AI Data Scientist who holds one of the first ML patents in the U.S. and leads AI development at one of the world's largest Private Equity Funds, I can attest that LlamaIndex's LlamaParse stands out as the premier solution for parsing complex documents in Enterprise RAG pipelines. Its exceptional handling of nested tables, complex spatial layouts, and image extraction is crucial for maintaining data integrity in advanced RAG and agent-based model development. LlamaParse has been a game-changer for us. With its ability to accurately parse millions of pages and extract key data points, our clients can now easily identify valuable public sector opportunities that would have otherwise been buried in documents. It’s a powerful tool that has enabled us to deliver unmatched insights and grow revenue for our clients in the B2G space. We benchmarked LlamaParse against everything else we could find. It had the most reliable output and cleanest formatting—especially for our most difficult content. Extract with confidence. Build with clarity. Start using LlamaExtract to transform your documents into precise, actionable data.
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