Iteration Layer vs Reducto
Reducto is the closest competitor — the key differences are in schema ergonomics and extraction guarantees.
Why developers switch from Reducto
Reducto uses JSON Schema for field definitions — verbose compared to simple typed field declarations.
17 typed fields vs. JSON Schema
Reducto defines extraction schemas using JSON Schema — verbose, string-typed, without dedicated date, IBAN, currency, or address types. We provide 17 purpose-built field types that return validated, structured values without any post-processing.
Source citations on every field
Reducto does not return source citations linking each extracted value back to the original document text. We return verbatim citations for every field, so you can audit and verify extraction results.
EU hosting with GDPR compliance
Reducto is US-based. 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 | Reducto |
|---|---|---|
| Schema-defined extraction |
Yes
Simple, purpose-built schema with 17 typed field types that return validated structured values |
JSON Schema
Uses standard JSON Schema with verbose syntax and string-based primitive types |
| Typed field support |
17 types
Choose from 17 typed schema fields including date, IBAN, currency, address, phone, email, and URL |
Primitives
JSON Schema primitives like string, number, and boolean without domain-specific types |
| Confidence scores |
Per field
Confidence score between 0 and 1 for every extracted schema field |
No
No confidence scoring for extracted values |
| Source citations |
Yes
Verbatim source citation from the document for every extracted field |
No
No source citation linking extracted values back to document text |
| Multi-file support |
Up to 20 files
Process up to 20 files in a single API request with merged extraction results |
1 file
Each API request processes a single file |
| 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, Office
Supports PDF, images, and various document formats |
| MCP server |
Yes
MCP server available for integration with AI agents and assistants |
No
No MCP server available |
| RAG chunking |
JSON output
Returns structured JSON which can be used in RAG pipelines but is not chunk-optimized |
Built-in
Strong document chunking capabilities designed for RAG pipeline ingestion |
| Complex tables |
Standard
Standard table extraction for common formats |
Advanced
Good handling of multi-column layouts and complex table structures |
| Output flexibility |
JSON only
Returns typed JSON matching the defined schema |
Multiple formats
Supports markdown, structured chunks, and other flexible output formats |
| EU hosting |
EU only
All processing happens exclusively on EU-hosted servers |
US-based
Processing infrastructure is located in the United States |
| Pricing model |
Per page
Simple, predictable per-page pricing |
Per page
Per page processed with pay-as-you-go pricing and volume discounts |
| 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 are processed through Reducto's managed API |
| 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
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