Iteration Layer vs Mindee
Mindee is a broad document-processing platform; Iteration Layer is an EU-hosted extraction API for typed JSON, source citations, and downstream automation.
Why developers switch from Mindee
Mindee gives teams a full OCR platform with crop, split, classify, models, and integrations. Iteration Layer gives developers typed extraction with citations, confidence scores, n8n, MCP, and one credit pool.
Source citations for every extracted field
Iteration Layer returns a source citation with each extracted value so reviewers and automations can trace outputs back to the document text.
EU-only processing by default
Mindee offers EU or US processing zones. Iteration Layer keeps document processing exclusively on EU-hosted servers without asking each model to choose a region.
One credit pool across document and media APIs
Use the same account and credits for document extraction, document-to-markdown, image transformation, image generation, document generation, and sheet generation.
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 | Mindee |
|---|---|---|
| Schema-defined extraction |
Yes
Define typed fields in the request schema and receive structured JSON |
Yes
Create custom extraction models or start from prebuilt document models with configurable fields |
| Confidence scores |
Per field
Confidence score between 0 and 1 for every extracted field |
Business+
Confidence scores are listed for Business and Enterprise plans, not Starter or Pro |
| Source citations |
Yes
Verbatim source citation from the document for every extracted field |
Bounding boxes
Bounding boxes and polygons locate extracted regions but do not provide verbatim source citations per field |
| Multi-file support |
Up to 20 files
Process related document packets in one API request |
Batch workflows
Supports batch-oriented document workflows with async processing, webhooks, split, and crop utilities |
| Typed field support |
17 types
Choose from 17 typed schema fields including date, IBAN, currency, address, phone, email, and URL |
Model fields
Prebuilt and custom models return structured JSON fields for document-specific outputs |
| Supported input formats |
40+ formats
Process 40+ formats including PDF, Office, EPUB, RTF, LaTeX, email, Jupyter, images, and more |
PDF, images
Supports PDFs and image formats including JPEG, PNG, and HEIC |
| Auto-crop document workflow |
No
Document extraction does not yet isolate multiple physical documents from one photo into cropped files |
Built-in
Crop utility detects multiple physical documents in one scan or photo, returns individual crops and bounding boxes, and can feed extraction models |
| Split and classify workflow |
Manual
Callers route files themselves before extraction or use external workflow logic |
Built-in
Platform includes split and classify utilities for multi-page documents and document-type routing |
| Automation integrations |
API, n8n, MCP
Official n8n node, REST API, webhook-friendly responses, and MCP server for agent workflows |
SDKs and no-code
Official SDKs for Python, Java, Node.js, Ruby, PHP, and .NET plus Zapier, Make, and n8n integrations |
| EU hosting |
EU only
All processing happens exclusively on EU-hosted servers |
EU or US
Processing zone can be set to Europe, United States, or no preference depending on plan and model settings |
| Pricing model |
Per page
Simple, predictable per-page pricing across the shared credit pool |
Credits / plans
Monthly plans include credit allowances with additional per-credit overage pricing and enterprise volume pricing |
| Infrastructure required |
None
Fully managed API with no deployment or infrastructure to manage |
None
Fully managed OCR API and web platform with no infrastructure to manage |
| GDPR / Data privacy |
Zero retention
No files or results stored beyond temporary 90-day logs |
Configurable
Original uploaded files are not stored to disk; extracted results are stored for 1 to 24 hours, with 12 hours by default and delete-on-fetch available |
| Data used for training |
Never
Your data is never used to train or improve AI models — guaranteed for all plans |
No public guarantee
Public processing-policy docs describe retention and processing zones but do not surface a no-training guarantee for hosted API 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
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