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LlamaParse

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LlamaParse's own site

What LlamaParse is

LlamaParse converts complex documents into data for AI workflows, including layouts, tables, charts, handwriting, checkboxes, and images. It supports 130+ formats, including PDF, Office documents, spreadsheets, and images, and can return Markdown, plain text, per-page JSON, XLSX, HTML tables, or annotated PDF. The product supports more than 100 languages. Parsing modes let users balance cost and accuracy, with basic parsing costing as little as one credit per page. Developers can use REST API parsing endpoints and SDKs for Python, TypeScript, Go, and Java. Integration guides cover n8n, the LlamaIndex Framework, and LangChain. The platform is available through web, API, and self-hosted options, with hybrid deployment also listed. A free plan includes 10K credits; Starter costs $50 a month and Pro costs $500 a month. Enterprise pricing is custom. The product is commercial, not open source. Its pricing information lists SOC 2, HIPAA, and GDPR compliance, with VPC and SSO options. SaaS data is encrypted in transit and at rest; cached data is kept for 48 hours before deletion, and caching can be turned off.

Who it suits

LlamaParse suits developers and enterprises building document OCR and AI workflows who need document extraction through an API, web interface, or self-hosted deployment. Its listed integrations and SDKs support several development workflows.

What it does well

  • Supports 130+ formats and more than 100 languages
  • Offers REST API and four SDK languages
  • SaaS data encrypted in transit and at rest
  • Caching can be turned off

What to know first

  • Starter costs $50 a month
  • Pro costs $500 a month
  • Commercial platform, not open source

Limits

The free plan includes 10K credits and five concurrent parse jobs. Starter includes 40K credits, pay-as-you-go usage up to 400K credits, and five concurrent parse jobs.

Plans

PlanBilled and limitsPrice
Starter/month · 40K credits · pay-as-you-go up to 400K credits · 100 users · 5 concurrent parse jobs · basic support$50 a month
Pro/month · 400K credits · limited-time bonus 800K credits ($1,000), one-time · pay-as-you-go up to $5,000/mo · 100 users · 20 concurrent parse jobs · priority Slack support$500 a month
EnterpriseCustom · Volume discounts on credits · 5x higher rate limits · Enterprise SSO · SaaS or hybrid cloud deployment · dedicated account managerOn request
Free/month · 10K credits · 100 users · 5 concurrent parse jobs · basic supportOn request

As llamaindex.ai lists them, read 8 Oct 2026. The maker's own page has the final word.

Getting started

  1. Visit the LlamaParse website.
  2. Choose web, API, or self-hosted access.
  3. Start with the free plan or select Starter at $50 a month.
  4. Use the REST API guides or an SDK for Python, TypeScript, Go, or Java.
  5. Connect through an integration guide for n8n, LlamaIndex, or LangChain.

Verdict

LlamaParse supports document extraction across many formats, languages, and output types, with web, API, and self-hosted options. Its free plan has 10K credits, while listed paid plans begin at $50 a month.

Questions

Is LlamaParse free?

Yes. The Free plan is billed monthly and includes 10K credits, 100 users, five concurrent parse jobs, and basic support.

How much do the paid plans cost?

Starter costs $50 a month. Pro costs $500 a month, and Enterprise uses custom pricing.

Which platforms and deployment options does it offer?

LlamaParse is listed for web, API, and self-hosted use. Hybrid deployment is also listed, and Enterprise customers can deploy in private VPCs across cloud providers.

Is LlamaParse open source?

No. It is described as a commercial platform.

Which integrations and developer languages are supported?

Integration guides cover n8n, the LlamaIndex Framework, and LangChain. SDKs are listed for Python, TypeScript, Go, and Java.

How is SaaS data handled?

SaaS data is encrypted in transit and at rest. Cached data is retained for 48 hours before permanent deletion, and caching can be turned off.

Facts from LlamaParse's own pages

API
The developer documentation includes REST API guides and parsing endpoints. · developers.llamaindex.ai, 8 Oct 2026
Audience
LlamaIndex describes its platform as serving developers and enterprises building document OCR and AI workflows. · llamaindex.ai, 8 Oct 2026
Cost controls
Parsing supports different modes to balance cost and accuracy, and basic parsing can cost as little as one credit per page. · llamaindex.ai, 8 Oct 2026
Data retention
The pricing FAQ says SaaS data is encrypted in transit and at rest, and cached data is retained for 48 hours before permanent deletion; caching can be turned off. · llamaindex.ai, 8 Oct 2026
Deployment
The FAQ says enterprise customers can deploy in private VPCs across cloud providers, and the service is available on AWS and Microsoft Azure marketplaces. · llamaindex.ai, 8 Oct 2026
Formats
The pricing comparison lists support for 130+ formats, including PDF, Office documents, spreadsheets, and images. · llamaindex.ai, 8 Oct 2026
Integrations
The developer documentation provides integration guides for n8n, the LlamaIndex Framework, and LangChain. · developers.llamaindex.ai, 8 Oct 2026
Languages
The product page says LlamaParse supports more than 100 languages. · llamaindex.ai, 8 Oct 2026
Open source
LlamaParse is described as a commercial platform and is not open source. · llamaindex.ai, 8 Oct 2026
Outputs
Listed output formats include Markdown, plain text, per-page JSON, XLSX, HTML tables, and annotated PDF. · llamaindex.ai, 8 Oct 2026
Purpose
LlamaParse turns complex documents into AI-ready data, including layouts, tables, charts, handwriting, checkboxes, and images. · llamaindex.ai, 8 Oct 2026
Security
The pricing page lists SOC 2, HIPAA, and GDPR compliance, with VPC and SSO options shown in its plan comparison. · llamaindex.ai, 8 Oct 2026
Support
The listed support levels range from community and basic email support to priority Slack Connect and dedicated support. · llamaindex.ai, 8 Oct 2026

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