LlamaIndex
Free tierDocument OCR & AI agents that turn complex documents into structured, LLM-ready outputs in seconds
Free tier available·All audiences·Powered by Multiple (VLM-powered, proprietary agents)·API available·Open source
Key strengths
Agentic document parsing with layout-aware OCRStructured extraction using schema-based LLM agentsSupport for 130+ file formats including PDFs, Office docs, and imagesEnterprise-grade security with SOC2, HIPAA, and GDPR complianceVPC/self-hosted deployment optionOpen-source LlamaIndex and Workflows libraries1B+ documents processed
Free tier + paid plans · from $50 USD/mo
San Francisco, USA
Founded 2022
Self-hostable
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Recent changes
- Plans updated: Free plan: $0/month with 10K credits (~1,000 pages). Starter: $50/month with 40K credits, pay-as-you-go up to $500/mo. Pro: $500/month with 400K credits, pay-as-you-go up to $5,000/mo. Enterprise: custom pricing. 1,000 credits = $1.25.
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LlamaIndex is purpose-built for engineering teams constructing document-centric AI applications:
- RAG Pipeline Construction: Use the open-source LlamaIndex and Workflows libraries to build retrieval-augmented generation pipelines over large document corpora.
- Agentic Document Parsing: Layout-aware OCR preserves document structure (tables, headers, columns) critical for accurate downstream LLM processing.
- Schema-Based Extraction: Define Pydantic or JSON schemas and let LLM agents extract structured records from contracts, reports, invoices, or forms at scale.
- Multi-Format Ingestion: Ingest 130+ file types through a unified API, eliminating the need for format-specific preprocessing pipelines.
- Regulated Industry Deployments: SOC2, HIPAA, and GDPR compliance plus VPC/self-hosted options make it viable for healthcare, insurance, and financial services production environments.
- High-Volume Processing: Pay-as-you-go credit tiers and enterprise plans support workloads from prototype (10K credits free) to production scale (400K+ credits/month).
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