Create models in seconds
Upload a credit application and watch as Affinda instantly predicts the data fields you want to extract, helping you automate credit application processing in just a few clicks.
How to automate credit application processing with Affinda's AI
- 1
Upload your credit applications, your way
Email, drag and drop or connect via API.
- 2
Watch as it extracts your credit application data
Affinda's AI reads your credit applications with impressive contextual understanding. It splits and classifies documents, extracts and validates data, then transforms the output to match your business needs.
- 3
Automatically route the data to your systems
No manual data entry required. Affinda integrates seamlessly into your existing tech stack.
Extract any information from any document, fast
Affinda's AI reads, understands and extracts data from any credit application or document 
Cleanse and transform data
Affinda automatically converts extracted credit application data into the format your lending or compliance system needs, ensuring it's ready for immediate use. Want a custom structure? Use natural language to describe how you want the data mapped.
Apply business logic
Use natural language to write validation rules and apply your business logic to the data. This ensures the output meets your lending requirements and compliance standards, enabling straight-through credit application processing.
Combine the best of artificial and human intelligence
1B+ documents processed
10+ years of IP combined with the latest AI innovations
800+ customers
95% reduction in manual processing achieved
No need to talk to sales. Get started now
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No sales calls, no credit cards and no hidden features. Get all the power in your hands from day one.Upload documents
Drag and drop, email or upload via API. Affinda can handle any document, any file type and any layout with ease.See the magic
Watch as the platform predicts the information you want to extract, letting you build models in minutes, not months.Automating their document processes with AI
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 a 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/DOCX (Word), XLSX (Excel), HTML and TXT/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 and 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 a 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.