Iteration Layer vs DocuPipe
DocuPipe is a structured extraction platform — it outputs JSON fields, not clean markdown for LLM pipelines.
Why developers switch from DocuPipe
DocuPipe extracts structured fields from documents — it doesn't produce clean, readable markdown.
Clean markdown, not structured fields
DocuPipe outputs structured JSON matching a schema. If you need clean, readable markdown for LLM context, RAG pipelines, or human review, you need to convert that structured output yourself. We return well-formatted markdown directly.
Image description included
When you send an image file, we return both OCR markdown and a natural language description of the image content — what the photo shows, what the chart communicates. DocuPipe returns field-level extraction only.
EU hosting with GDPR compliance
DocuPipe is US-based with no EU cloud hosting option. We process all documents on EU servers with zero data retention and a Data Processing Agreement available for every customer.
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 | DocuPipe |
|---|---|---|
| Markdown output |
Clean markdown
Returns well-structured markdown with preserved headings, tables, and lists from any document |
Structured JSON
Outputs structured JSON fields matching a schema — not human-readable markdown of the full document |
| Image description |
Yes
Returns a natural language description of image content alongside OCR markdown for image files |
No
Field-based extraction with no semantic description of 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
Supports PDF and scanned document images |
| Table preservation |
Markdown tables
Tables are extracted and rendered as clean markdown table syntax |
Structured data
Tables extracted as structured data fields, not markdown table syntax |
| MCP server |
Yes
MCP server available for integration with AI agents and assistants |
No
No MCP server available for AI agent integration |
| Document classification |
Not applicable
Markdown conversion does not require document classification |
Built-in
Built-in document classification to categorize documents before extraction |
| Human review UI |
Not applicable
Markdown output needs no confidence-based review routing |
Built-in
Built-in visual review interface with source highlighting |
| EU hosting |
EU only
All processing happens exclusively on EU-hosted servers |
US only
US-based cloud hosting only — on-premises deployment available on Enterprise plans |
| Pricing model |
Per page
Simple, predictable per-page pricing |
Credits per page
3 credits per page with monthly plans ranging from free to $499/month |
| 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 processed on US infrastructure — on-premises option available for Enterprise |
| Data used for training |
Never
Your data is never used to train or improve AI models — guaranteed for all plans |
Unclear
Public pages do not surface a no-training guarantee for customer data |
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
Try Iteration Layer with 100 credits
Start with one shared trial pool before choosing subscription or pay-as-you-go billing.
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