Iteration Layer vs PaddleOCR
PaddleOCR is a strong open-source OCR toolkit — but it runs on the PaddlePaddle framework, not a managed API.
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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 model |
Per page
Simple, predictable per-page pricing |
Free
Open source and free — costs are limited to your own compute infrastructure |
| 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
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Still evaluating?
See how we compare — and where the competition still wins. Choosing the right tool shouldn't require a week of research.
Reducto
Reducto outputs markdown from US servers and charges per page — without an image description field.
LlamaParse
LlamaParse is US-based and per-page — and doesn't describe image content.
Mistral OCR
Mistral has best-in-class OCR and returns markdown, but doesn't describe image content and processes files from US servers.
Nanonets
Nanonets DocStrange outputs markdown, but has no image descriptions and no EU hosting option.
DocuPipe
DocuPipe extracts structured fields from documents — it doesn't produce clean, readable markdown.
Unstructured
Unstructured is built for ETL pipelines and RAG ingestion — not a simple document-to-markdown API.
AWS Textract
Textract returns raw strings and bounding boxes — not a markdown document ready to read or embed.
Azure Document Intelligence
Azure outputs model-specific field values, not clean markdown — and requires model selection or training first.
Google Document AI
Document AI requires a GCP project, processor selection, and S3-equivalent storage before you get any text out.
OlmOCR
OlmOCR requires a GPU, only supports English, and intentionally strips headers and footers.
Tesseract
Tesseract outputs raw text — no headings, no tables, no document structure preserved.
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