What is Infrrd used for?

Infrrd is used to extract and validate data from complex documents such as loan files, insurance claims, invoices, and engineering drawings.

Who should use Infrrd?

Infrrd fits mortgage lenders, insurers, financial services firms, and operations teams that process large volumes of varied, hard-to-read documents.

Does Infrrd need document templates?

No. Infrrd uses machine learning models rather than fixed templates, so it can handle layout variations, tables, handwriting, and noisy scans.

Does Infrrd offer a free trial?

Yes. Infrrd offers a free trial and guided demos, while paid plans start at enterprise-level monthly pricing.

What are the best alternatives to Infrrd?

Common alternatives include ABBYY Vantage, Rossum, Hyperscience, and Nanonets, depending on document types, volume, and automation needs.

Infrrd Reviews, Features & Alternatives

Overview

What is Infrrd?

Infrrd is an intelligent document processing platform that uses machine learning instead of templates to extract data from complex documents. It reads tables, graphs, handwriting, stamps, and logos that standard OCR tools often miss, then classifies, splits, and validates the results with optional human review. Mortgage lenders, insurers, financial services firms, and logistics companies use Infrrd to cut manual data entry in loan files, claims, invoices, and engineering drawings.

Best for

Mortgage LendersInsurance OperationsFinancial Services FirmsAccounts Payable TeamsLogistics Companies

Product snapshot

Category: Data Extraction & Collection
Best for: Complex document extraction
Deployment: Cloud
Free trial: Yes
Integrations: REST API, Salesforce
AI features: Yes

Key features

Key features of Infrrd

Template-free extraction

Machine learning models read varied layouts without building fixed templates.

Document classification

Automatically sort and split mixed document packages before extraction.

Handwriting and stamps

Capture handwritten notes, rubber stamps, and logos from scanned pages.

Table and graph capture

Pull structured data from complex tables and charts in documents.

Human in the loop

Route low-confidence fields to reviewers for checking and correction.

Developer API

Send documents and retrieve extracted data through an open API.

Reviews

Infrrd reviews

5 reviews

Overall

4.2/5

Ease of use3.8/5
Features4/5
Value for money4/5
Customer support3.8/5

What users like

Extracts data traditional OCR misses
Handles stamps and handwritten notes
Clear and easy-to-use API
Reduces manual data entry bottlenecks

What users dislike

Data review interface needs redesign
Pricing starts at enterprise levels
API changes required code rewrites
Accuracy varies on receipts and invoices

Anonymous User

Analyst

“Liked removing bottlenecks from manual data entry and unlocking data from complex documents. Found that it could offer more features, such as an end-to-end vertical solution built with third-party components.”

Alex J.

CEO

“Liked that it extracts data traditional OCR tools miss, including stamps, handwritten notes, and complex tables. Found that the data review interface needs a redesign to be more user-friendly.”

Greg Y.

Operations Analyst

“Liked the API and how easy it is to understand and work with when integrating document extraction. Noted no major drawbacks.”

Brian G.

Consultant

“Liked the ease of use and the open API for integrating with Swell and Salesforce. Found it difficult to test the service online using Postman.”

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Alternatives

Top Infrrd alternatives

ABBYY Vantage
Best for
Enterprise document processing
Why choose it
Prebuilt skills for many document types
Rossum
Best for
Transactional document automation
Why choose it
AI extraction for invoices and orders
View Rossum
Hyperscience
Best for
High-volume document workflows
Why choose it
Human-in-the-loop automation for regulated industries
Nanonets
Best for
Small and mid-sized teams
Why choose it
Fast setup with no-code extraction models
View Nanonets

Integrations

Infrrd integrations

Infrrd is built to plug into existing document workflows through an open REST API, which lets developers submit files, track processing, and pull back structured results in formats suited to downstream systems. Reviewers describe using the API to connect Infrrd with Salesforce and with Swell, and the vendor also offers IDPForge as a self-serve document automation API for developers. Extracted data can then feed loan origination, servicing, claims, accounts payable, and audit systems used in mortgage, insurance, and financial services operations. Because integration runs mainly through the API, teams typically need developer resources to build and maintain connections to their core business applications and data stores.

FAQ

Infrrd