Iteration Layer vs PaddleOCR
PaddleOCR is a strong open-source OCR toolkit — but it runs on the PaddlePaddle framework, not a managed API.
Why developers switch from PaddleOCR
PaddleOCR outputs markdown, but requires the PaddlePaddle framework and self-hosted infrastructure.
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. PaddleOCR returns text extraction only — no semantic understanding of what the image shows.
EU hosting with GDPR compliance
PaddleOCR runs on your infrastructure — data residency is your responsibility. We process all documents on EU servers with zero data retention and a Data Processing Agreement available for every customer.
No infrastructure to manage
PaddleOCR requires the PaddlePaddle deep learning framework, model downloads on first run, and Python environment management. We are a managed API: one HTTP call, no framework dependencies.
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 | PaddleOCR |
|---|---|---|
| Markdown output |
Clean markdown
Returns well-structured markdown with preserved headings, tables, and lists from any document |
Structured markdown
PP-StructureV3 outputs markdown preserving titles, tables, formulas, and layout hierarchy |
| 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
Supports PDF and common image formats (JPEG, PNG) |
| Multilingual OCR |
Standard
Handles documents in any language |
100+ languages
Excellent multilingual OCR covering 100+ languages with strong Chinese and English support |
| MCP server |
Yes
MCP server available for integration with AI agents and assistants |
No
No MCP server available |
| Open source |
Proprietary
Closed-source managed SaaS platform |
Apache 2.0
Fully open source under Apache 2.0 with modular architecture and active development |
| Table and formula handling |
Standard
Standard table extraction and document structure preservation |
Strong
Strong table, formula, and chart extraction with chart-to-table conversion support |
| Edge deployment |
Cloud only
Cloud-based managed API |
Lightweight
0.9B parameter model suitable for edge deployment with CPU-only support available |
| EU hosting |
EU only
All processing happens exclusively on EU-hosted servers |
Your choice
Runs on your infrastructure, so data residency depends on where you deploy |
| Pricing |
$0.033
1 credit per page |
$0.03/page
15,000-page free tier |
| Infrastructure required |
None
Fully managed API with no deployment or infrastructure to manage |
Self-hosted
Requires PaddlePaddle framework, Python environment, and model downloads |
| GDPR / Data privacy |
Zero retention
No files or results stored beyond temporary 90-day logs |
Your responsibility
Data privacy depends entirely on your deployment and infrastructure choices |
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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