Iteration Layer vs PDF.ai
PDF.ai parses PDFs into markdown or JSON; Iteration Layer converts 40+ document formats into clean markdown for RAG, agents, extraction, MCP, and n8n.
Why developers switch from PDF.ai
PDF.ai Parse is a strong PDF parser. Iteration Layer is broader document-to-markdown conversion.
Broader input formats
Convert more than PDFs: Office documents, emails, EPUB, RTF, LaTeX, images, and other common formats use the same endpoint.
Image files become useful markdown context
Image inputs include OCR text and a natural language description for downstream LLM and RAG workflows.
Same account as the rest of your content APIs
Use document-to-markdown alongside extraction, generation, sheets, website extraction, and image APIs with one credit pool.
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 | PDF.ai |
|---|---|---|
| Markdown output |
Clean markdown
Returns readable markdown from documents |
Yes
Parse endpoint returns markdown for PDF files |
| Table preservation |
Markdown tables
Tables are rendered as markdown table syntax |
Structured parse
Parse output includes structured contents for document elements |
| Image description |
Yes
Image inputs include natural language descriptions |
Optional VLM
LLM/VLM processing can describe images in parsed PDFs |
| Supported input formats |
40+ formats
PDF, Office, EPUB, RTF, email, images, and more |
PDF
Parse API is focused on PDF documents |
| Structured JSON output |
Markdown-first
Document to Markdown returns markdown for RAG and LLM context |
Markdown or JSON
Parse endpoint can return markdown plus structured contents, images, and page data |
| MCP server |
Yes
MCP server available for AI agents and assistants |
No
No MCP server documented for AI agent integration |
| Automation integrations |
API, n8n, MCP
Official n8n node, REST API, webhook-friendly responses, and MCP server for agent workflows |
REST API
REST API and playgrounds are available for PDF parse workflows |
| EU hosting |
EU only
All processing happens exclusively on EU-hosted servers |
No
No public EU-only processing option documented in the API docs |
| Pricing model |
Per page
Simple, predictable per-page pricing |
Credits per page
Credits vary by page count, parse quality, and optional LLM processing |
| Infrastructure required |
None
Fully managed API with no deployment or infrastructure to manage |
None
Fully managed API with no infrastructure to manage |
| GDPR / Data privacy |
Zero retention
No files or results stored beyond temporary 90-day logs |
Cached documents
docId caching can retain parsed results for reuse unless avoided |
| Data used for training |
Never
Your data is never used to train or improve AI models — guaranteed for all plans |
Unclear
Public API docs describe caching and docId reuse but do not surface a no-training guarantee |
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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