Introducing InfraRed Extract: Turn documents into structured, actionable data

Every important business decision starts with a document.

Lenders review bank statements and financial records to assess creditworthiness. Banks and fintechs check IDs and proof of address to verify customers. Supply chain teams make procurement decisions based on purchase orders and invoices. Recruitment teams collect identity and right-to-work documents to onboard new hires.

The documents themselves are not what matter, it is the information they contain. And behind each of these workflows is a common task: someone has to read the document, identify the relevant information, and move that information into a system where it can be used to make decisions.

Much of the data that powers business decisions lives inside documents and getting it out has historically been slow, manual, and prone to errors.

The problem with document reviews

In many organizations, teams still manually copy data from documents into spreadsheets or internal tools. More advanced teams use Optical Character Recognition (OCR) tools to convert the images or digital documents into text. While OCR can digitize content, it does not organize or interpret it. Businesses still end up with unstructured output that someone has to clean, organize, and transfer into workflows manually.

The result is slower decisions, higher operational costs, and a poor experience for the counterparty waiting on the other side. Manual document review does not scale, and businesses looking to grow need a faster, more reliable way to unlock the data in the documents they collect.

This is why we built InfraRed Extract.

How InfraRed Extract works

InfraRed Extract goes beyond simple OCR. It uses a large language model fine-tuned on business documents to analyse the context, layout and content of documents to identify key information, such as names, dates, amounts, and addresses. It then extracts this information and presents it in a clean, structured format.

The result is clean, reliable data that can instantly feed into underwriting models, onboarding checks, compliance reviews, supply chain, and any workflow that depends on document data.

A three-step approach to document intelligence

InfraRed Extract automates the document review process in three (3) steps:

Classification:

The system first checks whether the submitted document matches the required type. For instance, if an onboarding process requires proof of address and a customer uploads an identity document instead, InfraRed Extract detects the mismatch and triggers a notification to the end user that the document is not the type requested. This reduces unnecessary back and forth and ensures only the right documents are submitted.

Extraction:

Once the document is correctly classified, the system extracts all relevant fields into a structured schema. The output is delivered in a JSON format and integrates directly into your applications or databases.

Validation:

After extraction, InfraRed applies predefined business rules to ensure the data meets your requirements. For example, in a lending workflow that requires bank statements issued within the last three months, the system can flag statements that fall outside that window. Validation reduces risk and minimizes back-and-forth resolution engagements with customers.

Performance you can rely on

InfraRed Extract works with PDFs, JPGs, and PNGs, and delivers results in under 5 seconds. We achieve over 99% field-level accuracy on standard document types including IDs, incorporation documents, proofs of address, bank statements and invoices.

Teams using InfraRed Extract reduce document review time by over 80%, with clean structured data flowing directly into their systems via a simple API. We have processed 6000+ documents in private beta across financial services, B2B SaaS, and market place companies.

Built for security and compliance

InfraRed Extract is built with data privacy at its core. Documents submitted are encrypted in transit and at rest. Customer data is also never used to train our models. We are currently pursuing security compliance certifications and our products are designed to support GDPR and data residency requirements. For enterprise customers with specific compliance needs, we offer data processing agreements, custom encryption and storage options.

Pricing

InfraRed Extract is priced per API call, with volume discounts. New accounts start with free credits so you can test against your own documents before committing.

Get started in minutes

InfraRed Extract is designed to integrate quickly into existing workflows. You can create an account, access free credits, read the API documentation, and start testing your own documents within minutes.