Top 3 Reasons Why High-Performing Developers Choose Infrrd’s IDP Forge
Traceable, Accuracy-Measured Extraction
Every value extracted with IDP Forge is traceable back to its source, with a confidence score measuring accuracy for every field.
Your Models, Your Keys, Your Terms
IDP Forge routes every pipeline stage to the model best suited for it, no one-size-fits-all. You can also bring your own LLM provider keys and agreements, and keep billing, data ownership, and control entirely in your hands.
Single Schema Extraction for Multi-Doc Types
Simply specify the fields and data types you need, and IDP Forge extracts them from any document format using that single schema, delivering structured output your application can use immediately.
Recognised by Leading Industry Analysts
Infrrd Wins Best IDP Innovator 2025 by Deep Analysis
IDC MarketScape Assessment: Worldwide Unstructured IDP Software Vendors, 2024
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Quadrant SPARK Matrix: Intelligent Document Processing (IDP) Q3 2024
Infrrd Named a Leader in the Everest Group PEAK Matrix® for IDP 2025
Data extraction API built to give you the cleanest RAG input
Here’s what Infrrd IDP Forge delivers:
The Work of a Full Tech Stack with One API
Stop building complex pipelines from scratch. IDP Forge combines Parse, Extract, Split, and Edit into a single API platform.
Verify Accuracy with Smart Confidence Score
Every extracted field comes with a confidence score, validated across any document type or format, so you know exactly how much to trust the output.
Every Extraction, Fully Traceable
Build production applications on verified, accountable data. Every value IDP Forge extracts traces back to its exact source, page reference, bounding box, confidence score, and field-level provenance included.
Single Schema for Multiple Complex Document
Stop rebuilding templates for every new layout. Define one schema, and IDP Forge applies it across countless document variations.
IDP Forge vs. Retab: At a Glance
Feature
IDP Forge
Retab
Data Extraction Accuracy
Confidence scores + source provenance
Confidence scores (via k-LLM likelihood); source highlighting, but no page-level citations; no page rotation
Source Traceability
Bounding boxes, page citations, confidence scores
Confidence scores; no bounding boxes/spatial provenance
AI Model Architecture
Multi-LLM routing, per-stage selection
Multi-LLM routing
LLM Model Selection
Different model per pipeline stage
Task-level routing (partial per-stage config)
Custom API Key Integration (BYOK)
Route via your own provider account
No BYOK
Self-Learning Capability
Feedback API + continuous learning module
No true continuous learning; has evals/projects system for accuracy tracking only
Workflow Completion (Edit API)
Fills blanks, checkboxes, dropdowns in PDFs/DOCX
No document-completion capability
Predeployment Accuracy Testing
Ground-truth eval + model comparison in Studio
Not stated
Production Integration
SDKs, REST API, CLI, Postman, connectors*
SDKs, REST API, playground, MCP support
Enterprise Credibility
Gartner & Everest Leader, 12+ patents, 10+ yrs
Not in analyst reports/patents; no named logos confirmed
Uptime SLA
99.95%
No stated baseline; contractual SLA at Enterprise tier
Throughput Capacity
10M+ pages/day
Not stated
No-Code Studio / UI
Visual pipeline builder + eval
Visual builder + per-stage model selector in UI
Deployment Options
SaaS, VPC, on-premises
SaaS only
Output Formats
Markdown + structured JSON
JSON only
We’re thrilled at the opportunity to empower our users with the capability to leverage state-of-the-art innovations like Infrrd that lead to improved efficiency in QC reviews and, ultimately, enhanced loan quality.
With Infrrd's Intelligent Document Processing, we are able to get the best of both: large volumes with accurate results. The team is always happy to assist and responsive, which makes it a fruitful partnership.
Trusted by global enterprises for 95%+ accurate document processing.
Frequently Asked Questions
Evaluation Mode lets you run ground-truth tests against your own labeled data and get back an F1 report, so you can validate accuracy on your actual document types before deploying a pipeline to production — rather than relying only on general benchmark numbers.
Primarily developer teams building document pipelines, RAG systems, or AI agents that need reliable structured output from documents — rather than back-office teams looking for a no-code review-and-approval workstation.
IDP Forge is a document AI platform built for developers who need to turn unstructured documents — PDFs, scans, forms, contracts — into structured, machine-usable data. It's built around a Parse API (document → structured JSON/markdown) and an Extract API (schema-based field extraction), with additional Split and Classify capabilities for routing mixed document batches.
Traditional IDP platforms are built around human review queues, validation workflows, and case management. IDP Forge is API-first: it's designed to be embedded directly into software and AI pipelines, with a developer-facing evaluation and confidence-scoring layer instead of manual review stations.
IDP Forge returns a confidence score for each extracted field, not just an overall document-level score. This lets you build auto-approval workflows where high-confidence fields pass through automatically and low-confidence fields get flagged for review.
