Top 3 Reasons Why High-Performing Developers Choose Infrrd’s IDP Forge
Built to Process 10M+ Pages a Day
IDP Forge handles large-scale document processing, processing over 10M pages a day, backed by confidence-scored accuracy for every extracted field.
Continuous Learning via Feedback Loop
IDP Forge gets smarter with every extraction. Corrections made to extracted fields feed an automatic feedback loop, allowing the system to learn from its mistakes and continuously improve.
Custom Flexibility with LLM Models: BYOK and API Keys
IDP Forge routes each pipeline stage to the best-fit LLM model instead of settling for one-size-fits-all. Developers can also bring their own LLM provider keys and agreements to keep billing, data terms, and control fully in-house.
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:
A Single API That’s Ten Tools' Worth of Power.
No more stitching together separate tools for every step. IDP Forge handles Parse, Extract, Split, and Edit, all from one platform.
Confidence Scores You Can Actually Trust
Every extracted field ships with a confidence score, validated across all document types and formats, so accuracy isn't a guess; it's a measurement.
Know Exactly Where Your Data Came From
Every value IDP Forge extracts is fully accountable: page reference, bounding box, confidence score, and field-level provenance, all traced back to the source document.
Template-Free Data Extraction
Templates break the moment a layout changes. IDP Forge doesn't need them — define one schema, and it holds up across even the most complex document variations.
IDP Forge vs. Landing.ai: At a Glance
Feature
IDP Forge
Landing.ai
Data Extraction Accuracy
Field-level confidence scores and source provenance, with automatic page rotation
Field-level confidence scores and source provenance, without automatic page rotation
Source Traceability
Bounding boxes, page-level citations, and every extracted field is traceable back to its exact source location
Bounding boxes, page citations, and confidence scores
AI Model Architecture
Multi-LLM routing with per-stage model selection
Single proprietary model, fully vendor-managed
Custom API Key Integration (BYOK)
BYOK option is available, letting you route processing through your own account, keeping billing and data terms in-house
No BYOK option; all processing runs through Landing.ai's managed model
Self-Learning Capability
Feedback API and continuous learning module available
Limited feedback loop or continuous learning
Workflow Completion (Edit API)
Edit API detects and fills blank fields, table cells, checkboxes, and dropdowns to complete the data extraction workflows
No document-completion capability; extraction only
Predeployment Accuracy Testing
Supports ground-truth datasets, field-level accuracy metrics, and model comparison before deployment
No no-code studio or ground-truth evaluation tooling
Enterprise Credibility
Gartner & Everest Group Leader recognition, 12+ patents, 10+ years enterprise deployments
Not currently listed in major analyst reports or patent filings
Throughput Capacity
Built for 10M+ pages/day at scale
No stated throughput capacity
No-Code Studio / UI
Visual Studio for pipeline building and evaluation
Limited no-code tooling; more developer-console driven
Output Formats
LLM-ready Markdown, structured JSON and RAG-optimized chunking
LLM-ready Markdown and structured JSON, no RAG-optimized chunking
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.
