Top 3 Reasons Why High-Performing Developers Choose Infrrd’s IDP Forge
Proven Accuracy Before Deployment
Developers can upload labelled documents, run their pipeline, and measure field-level precision, recall, F1 scores, and confidence metrics. This lets them know exactly how their extraction pipeline will perform before it reaches production.
Backed by Enterprise Recognition and Patented Features
IDP Forge is built on Infrrd's core IDP platform, which has been recognized as a Leader in multiple analyst evaluations for IDP solutions and is backed by 12+ granted patents and 30+ analyst recognitions.
Custom Flexibility with LLM Models 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:
One API Doing the Job of an Entire Tech Stack
Skip building custom pipelines from scratch. IDP Forge brings Parse, Extract, Split, and Edit together in a single platform.
Confidence Scores That Hold Up Under Scrutiny
Every field extracted comes with a dependable confidence score — consistent across any document type or format, so accuracy is never left to chance.
Extraction You Can Trace, Field by Field
Build on data you can verify, not just trust. Every value IDP Forge pulls out comes with its exact source attached — page reference, bounding box, confidence score, and field-level provenance.
One Schema Handles Every Document Variation
No more rebuilding templates each time a layout shifts. Set your schema once with IDP Forge, and it adapts across even the most complex document formats.
IDP Forge vs. LlamaParse: At a Glance
Feature
IDP Forge
Reducto.ai
Data Extraction Accuracy
Confidence scores + source provenance
Confidence scores + traceability via LlamaExtract
Source Traceability
Bounding boxes, page citations, confidence scores
Bounding boxes/layout coordinates available via extract_layout option
AI Model Architecture
Multi-LLM routing, per-stage selection
Multi-model parsing is available, but not per-stage, multi-provider routing
LLM Model Selection
Different model per pipeline stage
Tier selection per document/page; not independent model choice per stage
Custom API Key Integration (BYOK)
Route via your own provider account
No BYOK found in public documentation
Self-Learning Capability
Feedback API + continuous learning module
NA
Workflow Completion (Edit API)
Fills blanks, checkboxes, dropdowns in PDFs/DOCX
No form-filling/document-completion API
Predeployment Accuracy Testing
Ground-truth eval + model comparison in Studio
Runs its own "ParseBench" benchmark internally; no customer-facing ground-truth eval studio found
Production Integration
SDKs, REST API, CLI, Postman, connectors
Python & TypeScript SDKs, REST API, MCP support
Enterprise Credibility
Gartner & Everest Leader, 12+ patents, 10+ yrs
Not in Gartner/Everest; strong adoption metrics instead (1B+ documents processed, 300K+ users, 25M downloads/month)
Uptime SLA
99.95%
SLA offered at Enterprise tier, but no public percentage figure
Throughput Capacity
10M+ pages/day stated
Not publicly stated
No-Code Studio / UI
Visual pipeline builder + eval
Web UI for testing parse modes; no full visual pipeline builder found
Deployment Options
SaaS, VPC, on-premises
SaaS + VPC
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.
