PDF VectorPDF Vector

PDF Vector vs LlamaParse

LlamaParse is LlamaIndex's hosted parsing service. It turns PDFs, Office files and scans into markdown, text or JSON for RAG and agent pipelines, with a separate Extract product for schema-based extraction.

Facts about LlamaParse come from its public pricing and documentation pages, checked on November 11, 2026. Prices and features change, so confirm on their site before you decide.

Feature and pricing comparison

 PDF VectorLlamaParse
Product typeDeveloper API, TypeScript SDK, MCP server, no-code actionsDeveloper API, web dashboard, SDKs, CLI
Input formats27 formats, including PDF, Office, images, CSV, HTML, EPUB130+ file types, including PDF, Office, images, HTML, EPUB
OutputMarkdown (optionally per page), HTML on Max; JSON via Extract; answers via AskMarkdown, text, JSON
Schema-based extractionYes, any JSON Schema per requestYes, via the separate Extract product
Layout and coordinatesTables kept in markdown; no bounding boxesLayout-aware parsing; tables and charts
IntegrationsZapier, Make, n8n, MCP server, REST from any languagePython, TypeScript, Go, Java SDKs; MCP server
Deployment and regionsCloud (shared US instance); dedicated instances in UK, EU, US, Japan, Australia or Asia Pacific on EnterpriseCloud (NA and EU regions); private VPC or hybrid on Enterprise
PricingPlans from $25/month; Document Parse $0.97 to $7.76 per 1,000 pages on Pro$1.50 per 1,000 credits pay-as-you-go; parsing costs 1 to 25 credits per page; Pro plan $500/month
Free tier100 credits, no credit card10,000 credits per month

When LlamaParse is a good choice

Teams already building on LlamaIndex who want very broad file-type coverage and EU or US data regions.

  • Covers 130+ file types and offers several parse modes that trade cost for accuracy (1 to 25 credits per page).
  • Mature SDKs for Python, TypeScript, Go and Java, an MCP server, and native LlamaIndex integration.
  • Documented North America and EU regions, with data stored in the region it is uploaded to.

Things to consider

  • Schema-based extraction is a separate product (Extract) with its own credit costs per page.
  • Zapier, Make and n8n integrations are not documented.
  • The Pro plan starts at $500 per month; below that it is pay-as-you-go.

Why teams choose PDF Vector

  • Parse, extract with a JSON Schema, and ask questions through one API and one credit balance, with plans from $25 per month.
  • Ready-made Zapier, Make and n8n actions for no-code teams.
  • Specialized invoice, identity and bank statement APIs, plus academic search across eight databases.

Other comparisons

Sources

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