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LlamaIndex

Free tier

Document 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 an open-source data framework (⭐ 52,568 on GitHub) founded in 2022 that provides agentic document parsing, structured extraction, and RAG (Retrieval-Augmented Generation) pipeline infrastructure. At its core, LlamaIndex offers layout-aware OCR combined with schema-based LLM agents to extract structured data from 130+ file formats — including PDFs, Office documents, and images — and transform them into AI-ready context. The platform exposes a fully documented REST API, supports VPC and self-hosted deployment for air-gapped or compliance-sensitive environments, and ships open-source libraries (LlamaIndex and Workflows) for building custom agentic pipelines. With 1B+ documents processed and enterprise certifications covering SOC2, HIPAA, and GDPR, it is designed to integrate into production-grade AI stacks across regulated industries.

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