Iteration Layer vs LlamaParse
LlamaParse also outputs markdown — the differences are image descriptions, Office support, EU hosting, and pricing.
Why developers switch from LlamaParse
LlamaParse is US-based and per-page — and doesn't describe image content.
Image description field
When you convert an image file, we return both the OCR-extracted markdown and a natural language description of the image content — what's in the photo, what the chart shows, what the diagram communicates. LlamaParse returns text extraction only.
EU hosting with GDPR compliance
LlamaParse is US-based. We process all documents on EU servers with zero data retention and a Data Processing Agreement available for every customer.
40+ input formats
LlamaParse focuses on PDF and image input. We support DOCX, PPTX, ODT, ODS, XLSX, EPUB, RTF, LaTeX, EML, MSG, Jupyter notebooks, and many more formats in the same API call.
Feature-by-feature comparison
We went through the docs so you don't have to. Here's how every feature compares — including the ones where we're not the better choice.
| Feature | Iteration Layer | LlamaParse |
|---|---|---|
| Markdown output |
Clean markdown
Returns well-structured markdown with preserved headings, tables, and lists from any document |
Clean markdown
Returns clean markdown optimized for LLM context and RAG pipeline ingestion |
| Image description |
Yes
Returns a natural language description of image content alongside OCR markdown for image files |
No
Text extraction only — no semantic description of visual image content |
| Supported input formats |
40+ formats
Process 40+ formats — PDF, Office, EPUB, RTF, LaTeX, email, Jupyter, images, and more — in a single API endpoint |
PDF, images
Primarily supports PDF and image input formats |
| Table preservation |
Markdown tables
Tables are extracted and rendered as clean markdown table syntax |
Markdown tables
Strong table-to-markdown conversion with multi-column layout support |
| Complex layouts |
Standard
Standard document layout analysis for common formats |
Advanced
Strong handling of multi-column and mixed content layouts |
| RAG pipeline fit |
General markdown
Clean markdown output suitable for LLM pipelines and RAG ingestion |
Native fit
Markdown output optimized for LlamaIndex and LangChain RAG pipelines with chunking support |
| MCP server |
Yes
MCP server available for integration with AI agents and assistants |
No
No MCP server — integrates via LlamaIndex and LangChain SDKs |
| EU hosting |
EU only
All processing happens exclusively on EU-hosted servers |
US-based
Processing infrastructure is located in the United States |
| Pricing |
$0.033
1 credit per page |
Per page
Free tier available |
| Infrastructure required |
None
Fully managed API with no deployment or infrastructure to manage |
None
Fully managed cloud API with no infrastructure to manage |
| GDPR / Data privacy |
Zero retention
No files or results stored beyond temporary 90-day logs |
US-based processing
Documents are processed through LlamaCloud's managed API |
| Data used for training |
Never
Your data is never used to train or improve AI models — guaranteed for all plans |
No
LlamaCloud states that customer data uploaded via the API is not used for training |
Pricing
Start usage-based. Switch to a subscription when your volume becomes predictable.
Usage-based
Graduated pricing. Your effective rate decreases automatically as monthly usage grows.
- No monthly commitment
- Pay only for credits used
- Automatic volume discounts as usage grows
Predictable volume
Fixed recurring credit packs with lower effective credit prices for steady usage.
- Lower effective per-credit prices
- Fixed recurring credit packs
- Predictable monthly budget
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