AI Credit Application Processing & Data Extraction Software

Automating their processes with AI

Affinda has removed the laborious workload from our accounts staff, who now focus on quality assurance and management of any outliers.

- Nathaniel Barrs, CTO, PSC Insurance

95%

reduction in manual work

10×

more invoices processed with no added staff

Enhanced auditability and tracking of invoice approvals

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Customer satisfaction is always our top priority, and Affinda has helped us achieve that by eliminating phone calls, manual handling, and delays.

- Jorg Both, Head of Business Systems, Northline

120,000

proof of delivery documents processed annually

82%

of documents straight-through processed in the first weeks

Automatic validation of documents against ERP system

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Two recruitment specialists reviewing a list of candidates

Affinda's ongoing improvements in its AI models demonstrate its innovative approach in Document AI.

– Michael Zhao, AI Product Manager, SEEK

High accuracy parsing across multiple languages
Improved customer experience thanks to better structured data
Stronger compliance with international data security and software standards

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Affinda’s support and expertise were invaluable… The experience working with Affinda was excellent.

- Nick Tran, Business Analyst, StateCover Mutual

300,000

documents processed annually

80

different document types

60%

Enhanced auditability and tracking of invoice approvals

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Logistics manager reviewing paperwork onsite

The results have spoken for themselves. I recommend Affinda to anyone looking to enhance their product or business with AI capability.

- Steve O’Keeffe, CTO, Felix

76%

reduction in manual data input

30%

reduction in compliance data errors

85,000

compliance documents processed annually

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Frequently asked questions

What is credit application processing?

Credit application processing is the workflow lenders use to receive, extract, validate and approve applicant and business data from credit applications. Our AI credit application processing software automates this entire workflow to reduce manual effort, errors and processing times. It ensures that credit decisions are accurate, compliant and recorded correctly in lending and core banking systems.

What is credit application data extraction?

Credit application data extraction is the process of identifying and pulling key information from credit applications (such as applicant details, business information, credit amounts, terms and reference numbers). Our platform uses AI to automate credit application data extraction, transforming unstructured documents into structured data that flows directly into your lending, compliance and core banking systems.

What is credit application extraction?

Credit application extraction is the automatic capture of key data from credit applications using AI. Our credit application extraction software combines reading order models, OCR, LLM, RAG and more to convert this information with high accuracy and faster processing times.

What is an credit application parser?

A credit application parser is a software tool that automatically reads and extracts data from credit applications. It converts unstructured documents into structured, machine-readable formats. Our AI credit application parser adapts to different layouts and formats, learns continuously from each document and transforms the extracted data into exactly the format your lending and banking systems require.

What is credit application line extraction?

Credit application line extraction captures structured and tabular data from your documents, converting it into a usable format while preserving the relationships between each field and row. Our platform interprets your data with strong contextual understanding, handling everything from simple grouped fields to complex nested tables with multiple data sources.

What data fields can Affinda’s AI credit application processing software extract?

Affinda's AI credit application processing platform can extract data from any field on a credit application, regardless of format or layout. Standard data fields include:

Applicant & Business Details

Applicant Name / Entity Name: Full name of the individual or business applying for credit.
Business Legal Name / Trading Name: Official registered business name and any trading names used.
ABN / ACN / Tax ID: Business identification numbers and tax registration details.
Business Address / Registered Address: Physical location and registered office address.
Contact Details: Phone numbers, email addresses and contact person information.
Business Type / Structure: Entity type such as sole trader, partnership, company or trust.
Years in Business / Establishment Date: How long the business has been operating.
Industry / Business Activity: Sector, industry classification or description of business operations.

Credit Information

Credit Amount Requested: Total amount of credit or financing being applied for.
Credit Terms / Payment Terms: Repayment period, payment frequency and credit terms requested.
Account Type: Type of credit facility such as trade account, line of credit or term loan.
Guarantor Details: Names and information for personal or business guarantors.
Trade References: Supplier or creditor references, including contact details and account history.
Bank References: Banking details and financial institution references.
Existing Credit Facilities: Details of current loans, credit lines or payment arrangements.

Supporting Information

Application Number / Reference ID: Unique identifier for the credit application.
Application Date / Submission Date: When the application was completed or lodged.
Checkboxes / Selections: Consent boxes, declarations and selected options.
Signatures / Authorizations: Signature fields, dates signed and authorized signatory details.
Supporting Documents: References to attached financial statements, identification or other documentation.

Need to capture additional fields or handle unique application formats? Define them in the platform or describe them in plain language and Affinda will extract and structure them automatically.

What file types does Affinda’s AI credit application processing solution support?

Our AI agents can process any file type.Supported file types include PDF, JPG/JPEG, PNG, TIFF, DOC/DOCcredit application (Word), credit applicationLScredit application (Excel), HTML and Tcredit applicationT/CSV.

How does Affinda process credit applications and extract credit application data?

Affinda's AI agents read, extract and validate credit application data. Our platform is intuitive to set up and easily integrates into your systems. Simply:

Upload your credit applications via drag-and-drop, email or API.
Configure business logic to match your organization's rules and workflows.
Let Affinda check and validate extracted data against your business logic and lending, compliance and core banking systems to ensure accuracy.
Access structured credit application data directly within your systems.

The result? Faster, more accurate credit application processing with minimal manual input.

Can Affinda extract data from scanned or image-based credit applications?

Yes. Our AI credit application processing platform combines OCR with retrieval augmented generation (RAG), LLMs, agentic workflows, proprietary reading order algorithms and more, to automatically detect and process data from scanned or photographed invoices (PDF, JPG, PNG). Even low-quality images are automatically enhanced for reliable data capture and processing.

What language does Affinda’s AI credit application automation platform support?

Our AI credit application processing platform can automatically detect and process credit applications in 50+ languages, including multilingual credit applications containing more than one language.Supported languages include: Afrikaans, Albanian, Amharic, Arabic (Standard, Egyptian, Sudanese, Algerian, Moroccan, Levantine), Bahasa Indonesian, Bengali, Bhojpuri, Bulgarian, Burmese, Chinese (Mandarin [PRC/Taiwan], Cantonese, Wu, Min Nan, Jinyu, Xiang, Hakka), Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Italian, Japanese, Javanese, Kannada, Korean, Latvian, Lingala, Lithuanian, Macedonian, Malayalam, Marathi, Nepali, Norwegian, Odia, Persian (Farsi), Polish, Portuguese, Punjabi (Western and Eastern), Romanian, Russian, Slovak, Slovenian, Somali, Spanish, Swahili, Tagalog, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese, Yoruba.

Does Affinda integrate with lending and core banking systems?

Yes. Our AI credit application processing platform integrates with lending, compliance and core banking systems. You can build no-code integrations using our AI integrations agent or create custom connections using our APIs – whatever fits your workflow best.

What are some examples of AI credit application workflow automations?

AI credit application processing helps automate and streamline lending workflows across teams such as:

Credit Operations: Accelerate application review by extracting applicant details, business information, credit amounts and terms from any format. Business-rule validation flags applications requiring review, catching missing data, inconsistent terms and duplicate submissions.
Compliance & Risk Teams: Automatically validate extracted data against regulatory requirements and internal policies, supporting audit trails and reducing compliance risks.
Customer Onboarding: Speed up account setup with accurate data extraction from trade and bank references, improving customer experience and reducing time to approval.
Core Banking Teams: Feed structured credit application data directly into lending and banking systems to enhance visibility, decision-making and operational scalability.

What is an credit application OCR data extractor?

A credit application optical character recognition (OCR) data extractor scans and accurately captures information from credit applications, regardless of format or language. Upload credit application documents in PDF, JPG or PNG formats. The OCR technology first converts the documents into a text layer, ensuring all text (even from scans, photos or handwriting) is captured. Affinda's AI models then identify and extract key fields such as applicant details, business information, credit amounts, terms and reference numbers, transforming them into structured, usable data.This automation eliminates manual data entry, reduces errors and saves time. Once the credit application data is captured and structured, our AI credit application processing pipeline can apply machine validation and post-processing to enable seamless integration with lending, compliance and core banking systems.Organizations across lending, banking and financial services rely on Affinda's AI for their credit assessment, customer onboarding and compliance processes, streamlining workflows and improving overall efficiency.

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The AI platform for credit application processing

How to automate credit application processing with Affinda's AI

Upload your credit applications, your way

Watch as it extracts your credit application data

Automatically route the data to your systems

Extract any information from any document, fast

Create models in seconds

Cleanse and transform data

Apply business logic

Pathway 1: Use our AI integrations agent

Pathway 2: Write your own code

Get AI agents to process your credit applications

Automate credit application processing with 99%+ accuracy

See ROI in weeks, not months

AI that instantly learns from your credit application and adapts

Easy integration, zero disruption

Configure your credit application model, customize and maintain control

Enterprise-grade security

Combine the best of artificial and human intelligence

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Automating their processes with AI

95%

10×

120,000

82%

300,000

80

60%

76%

30%

85,000

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