Create models in seconds
Upload a credit note and watch as Affinda instantly predicts the data fields you want to extract, helping you automate credit note processing in just a few clicks.
Credit note extraction
Production-grade document AI for credit notes. Describe your workflow. Affinda handles the rest.
How to automate credit note processing with Affinda's AI
- 1
Upload your credit notes, your way
Email, drag and drop or connect via API.
- 2
Watch as it extracts your credit note data
Affinda's AI reads your credit notes 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 note or document
Cleanse and transform data
Affinda automatically converts extracted credit note data into the format your accounting or ERP system needs, ensuring it's ready for immediate use. Want custom formatting? Describe your requirements in plain language and Affinda adapts.
Apply business logic
Write validation rules in plain language and apply your own business logic to extracted data. This ensures credit note information meets your standards and supports automated, straight-through 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
With a free trial, discover how easy it is to extract any information from any document, fast.
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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.
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
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
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
Nick Tran, Business Analyst, StateCover Mutual
300,000
documents processed annually
80
different document types
60%
Enhanced auditability and tracking of invoice approvals
Steve O’Keeffe, CTO, Felix
76%
reduction in manual data input
30%
reduction in compliance data errors
85,000
compliance documents processed annually
Frequently asked questions
What is credit note processing?
Credit note processing is the workflow businesses use to capture, extract and validate credit and adjustment details from customer credit notes or credit memos. Our AI credit note processing software automates this entire process to reduce manual data entry, errors and processing times. It ensures that credits are accurately recorded and reconciled in accounting and ERP systems.
What is credit note data extraction?
Credit note data extraction is the process of reading a credit note and capturing key data points such as credit note numbers, dates, customer details, item descriptions, amounts and reference numbers. Our platform uses AI to automate credit note data extraction, turning unstructured documents into structured data ready for your accounting, ERP and customer service workflows.
What is credit note extraction?
Credit note extraction is the automatic capture of data from credit notes using AI. Our credit note extraction software combines reading order models, OCR, LLMs, RAG and more to pull credit and adjustment details with high accuracy and faster processing times.
What is a credit note parser?
A credit note parser is a software tool that automatically reads and extracts data from credit notes. It converts unstructured credit memos into structured, machine-readable formats. Our AI credit note parser adapts instantly to variations in format, layout and language, extracting credit note numbers, amounts, customer details and adjustments with precision before delivering the output in exactly the format your systems require.
What is credit note line extraction?
Credit note line extraction captures the line-level details from your credit notes – items, quantities, amounts, adjustments and more – turning them into structured data while preserving the connections between each row. Our AI handles anything from straightforward item lists to complex grouped items and multi-line adjustments with accuracy.
What data fields can Affinda's AI credit note processing software extract?
Affinda's AI credit note processing software can capture data from any field on a credit note or credit memo. Standard data fields include:
Credit Note Details
- Credit Note Number: Unique identifier for the credit note or credit memo.
- Credit Note Date / Issue Date: Date the credit note was issued to the customer.
- Customer Name / Billing Entity: Name of the customer or organisation receiving the credit.
- Customer Account Number: Unique customer or account identifier.
- Customer Address: Billing or registered address of the customer.
- Original Invoice Number / Reference: Reference to the original invoice being credited or adjusted.
- Reason for Credit / Adjustment Type: Description or code explaining why the credit was issued.
- Currency: Currency in which the credit is denominated.
- Total Credit Amount / Net Amount / Tax Amount: Total credit value, subtotal and tax breakdown.
Line Item Details
- Item Description / Product Name: Description of the product or service being credited.
- Item Code / SKU: Product identifier or stock keeping unit.
- Quantity: Number of units being credited.
- Unit Price: Price per unit for the credited item.
- Line Amount / Subtotal: Total amount for each line item before tax.
- Tax Rate / Tax Amount: Applicable tax rate and calculated tax per line.
- Discount / Adjustment: Any discounts or adjustments applied to the line.
- Original Invoice Line Reference: Link back to the corresponding line on the original invoice.
Other Fields
- Vendor / Seller Details: Name, address and contact information of the issuing business.
- Payment Terms / Refund Method: Terms describing how the credit will be applied or refunded.
- Page Number / Document ID: Page index and unique document identifier for multi-page credit notes.
- Notes / Comments: Any additional notes or terms included on the credit note.
Need custom fields or a specific layout? Simply define them in the UI or describe them in natural language and Affinda will extract and structure them automatically.
What file types does Affinda's AI credit note 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 notes and extract credit note data?
Affinda's AI agents read, extract and validate credit note data. Our platform is intuitive to set up and easily integrates into your systems. Simply:
- Upload your credit notes 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 accounting, ERP or customer service systems to ensure accuracy.
- Access structured credit note data directly within your systems.
The result? Faster, more accurate credit note processing with minimal manual input.
Can Affinda extract data from scanned or image-based credit notes?
Yes. Our AI credit note 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 note automation platform support?
Our AI credit note processing platform can automatically detect and process credit notes in 50+ languages, including multilingual credit notes 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 accounting, ERP and customer service systems?
Yes. Affinda integrates with 400+ systems, including leading accounting, ERP and customer service platforms. Build no-code integrations using our AI integrations agent, or create custom connections with our APIs – whichever suits your credit note processing workflow best.
What are some examples of AI credit note workflow automations?
AI credit note processing helps automate and streamline financial and customer workflows across departments such as:
- Accounting Teams: Speed up credit reconciliation and improve accuracy by extracting credit note numbers, amounts, adjustments and reference details automatically. Business-rule validation catches duplicate credits, mismatched invoice references and incorrect totals before they reach your ERP system.
- Customer Service: Resolve customer issues faster with instant access to structured credit data. Track adjustments in real time, reduce back-and-forth queries and improve customer satisfaction with accurate, timely credit processing.
- Sales and Retail Operations: Simplify returns management and refund tracking with AI that adapts to any credit note format. Streamline supplier credit workflows and maintain better visibility across your retail or sales channels.
What is a credit note OCR data extractor?
A credit note optical character recognition (OCR) data extractor scans and accurately captures information from credit notes and credit memos, regardless of format or language. Upload credit note 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 credit note numbers, dates, customer details, original invoice references, adjustment amounts, line items and totals, transforming them into structured, usable data.
This automation eliminates manual data entry, reduces errors and saves time. Once the credit note data is captured and structured, our AI credit note processing pipeline can apply machine validation and post-processing to enable seamless integration with accounting, ERP and customer service systems.
Businesses in accounting, retail, sales and customer service rely on Affinda's AI for their credit reconciliation, returns management and refund processing workflows, streamlining operations and improving overall efficiency.