Credit Note OCR

AI Data Extraction Software & API

Stop processing credit notes manually. Use AI to save hours.

How to Use Our Credit Note OCR Tech to Help Your Business?

Accounts Payable Teams use our credit note extractor process all their credit notes 5 times faster.

FinTech Companies improve their platforms with our tech to impress their users.

ERP Platforms & IT Consultants make workflows of their enterprise clients more effective using our credit note extraction API.

Accounts Payable AI

Explore the Accounts Payable AI suite and discover how to automate the legwork and free your team to do the real work.

Automate Invoice Data Extraction

Scan and Validate Receipt Data

Process Credit Notes with AI

VEGA Gives You Back Hours of Your Time by Processing Credit Notes Faster

Step 1: Upload Credit Note

VEGA, our AI Engine recognises the fileds in your credit note instantly and labels them. They are now ready for a quick check from you.

Step 2: Mark Missing Fields

VEGA is a super-intelligent AI, but it can still miss some fields here and there. Highlight them and add them to the extracted data in a click.

Step 3: VEGA Only Gets Better

Every credit note you process helps VEGA understand your business a bit more. It processes your credit notes better and better over time.

Step 4: Simple Exporting

Just a single click exports your processed credit notes into your system. Simply pick a format you need.

Speak to our sales team today to schedule a demonstration

If credit note processing is a part of your business processes, our powerful, AI-based credt note extractor will give your team back the hours spent manually processing invoices.

Book a Consultation

Why Choose Affinda’s Credit Note Parsing Software?

Skip the onboarding entirely, because it's hard to go wrong with this user-friendly interface. Your team will use it in no time.

Our credit note OCR library works well with all major image file formats, like PNG and JPG, but also formats like XLS, PDFs and Word Docs.

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Affinda stores all extracted credit note data on a secure server, keeping in full compliance with international guidelines.

You have a unique credit processing requirements? We're usually up for a challenge. Contact us and we'll try to work it out together.

You can start your automated credit note extraction process for entire batches with just a single API call.

Same or better processing quality for a lower price, and faster credit note data extraction.

We won't leave you without your answers. We have a team of amazing AI experts that answer all your questions with care.

Machine learning in combination with computer vision means, not just less mistakes, but also learning from those mistakes.

In time, your smart, AI credit note extractor won't just recognize new fields but also new credit note formats.

VEGA is the AI Engine Behind Affinda’s Credit Note Processing Technology

Blow the minds of your users by installing our tech under the hood

Natural language processing

Computer vision

Deep learning

Learn More

You Can Extract Accurate Credit Note Data in 56 Languages

Arabic

English

Chinese

Dutch

French

German

Hebrew

Hindi

Indonesian

Japanese

Italian

Korean

Malaysian

Portuguese

Russian

Spanish

View full list of languages

Where Affinda really stood out out head and shoulders above the others is in their level of support and attention to the customer.

Scott S
Verified Review
G2.COM

Over 50 Fields Available for Credit Note Processing

Our AI credit note scanning OCR SDK can be used to extract dozens of fields from each credit note and then organise them into searchable file formats. It even works with PDF, JPG, or PNG formats.

Address

Credit note number

Credit note date

Credit Note Reference

Item SKU / data

Payment data

View API docs

Overall, we are very happy with having switched. Problems are resolved quickly. We have some unique requirements and they were able to work with us on that.

Jon S‍
‍Verified Review‍
‍Sourceforge.net

Years of enterprise experience

With a dedicated in-house legal team, we have years of experience in navigating Enterprise procurement processes.

This reduces headaches and means you can get started more quickly.

Approved by Procurement Teams

Approved by Legal Departments

Approved by InfoSec Teams

Compliance matters

It’s not easy to navigate the complex world of international compliance. That’s why we built our systems with enough flexibility to adjust to your needs. If you have specific requirements around compliance, such as privacy or data storage locations, please reach out. Our team is highly experienced in dealing with such matters and will be able to help.

Privacy Compliance

Data Storage Compliance

We Have a Unique Case. Can You Adapt to Us?

Since launching the Finance AI, we have:

Worked alongside in-house dev teams to integrate into custom CRMs

Adapted to specialized industries, including aviation, medical, and engineering

Worked with foreign languages (including Irish Gaelic!)

And more

Frequently asked questions:

What is credit note parsing?

It is a technology that extracts information from credit notes. Modern credit note parsers use multiple AI neural networks and data-science techniques to extract structured data. The fields typically extracted include the company name and address of the vendor, the credit note reference number and date, the purchase order (PO) number, item/SKU data, payment information, and due date. In addition, our credit note extraction tool is compatible with a software platform to provide automation in near real-time. Contact us to find out more!

How much does Affinda’s credit note extraction software cost?

Pricing varies depending on the integrations you’ll be using, as well as the number of credit notes you’ll be parsing each month. Please get in touch with our sales team to learn more or check out credit note extractor pricing page.

Will I be able to review and modify results in Affinda’s credit note extractor?

Absolutely! Our pro credit note extraction tool includes a Viewer tool, which allows you to navigate each parsed credit note line-by-line and correct any mistakes. In fact, Affinda’s credit note data extraction algorithm actively learns from every correction you make, so its accuracy will continue to improve the more you teach it.

Can I use the professional credit note extractor through a direct web interface?

Yes! Once you’ve purchased our professional credit note parsing software, we’ll provide you with a link to a web interface you can access from any browser. Once you’re logged in to that interface, you’ll be able to upload files directly, just like with our free web-based credit note extraction service — except you’ll have the full functionality of our pro solution, including the ability to upload Excel spreadsheets (.xls) and receive parsed results in .csv and .xls formats.

Which languages is Affinda’s credit note extractor able to parse?

The free web version only accepts invoices in English. Our full enterprise-level invoice parsing API can work with 13+ languages. If you’d like us to add recognition capabilities for additional languages, click here to talk to our development team about a custom solution for your organization or platform.

Which document formats does Affinda’s credit note extraction software accept?

Our free online credit note extractor accepts .pdf, .doc, .docx, .odt, .png and .jpg formats. Our professional API also includes support for Excel (.xls and .xld) spreadsheets.

How long does the free credit note extractor take to process a batch of invoices?

Our free online credit note extractor will process all uploaded credit notes in a matter of seconds. To save you the trouble of waiting for your results, we’ll email you the output as soon as it’s ready — typically within 10 minutes. If you’re looking for an even faster solution that can handle more bulk uploads and integrate directly into your platform get in touch with one of our AI experts here.

What if I want to extract a credit note field that isn’t listed above?

We’d be happy to build you a credit note parsing tool with custom fields specific to your industry or job role. Just click here to get in touch with our development team!

Does Affinda’s credit note parsing tool work with scanned credit notes?

Yes! In fact, one of our credit note reader’s key value-adds is that it eliminates the need for costly, time-consuming manual data entry. Our advanced machine-learning AI can easily recognize text fields on scanned credit notes, greatly streamlining the process of collecting credit note data. This technology is known as Optical Character Recognition (OCR) and is essential for accurate credit note parsing.

What is OCR, and how does Affinda’s credit note parsing solution utilize it?

OCR stands for Optical Character Recognition. Affinda’s software uses OCR to convert an image that doesn’t have text data — such as an credit notes — into a file that is machine-readable. What’s more, our machine-learning algorithm learns from every corrected mistake, so our OCR becomes more accurate the more it’s used!

‍Can I license Affinda’s credit note extraction functionality for my own platform?

Our credit note reading functionality is designed to be flexible, easy to integrate, and simple enough to white-label. Click here to get in touch with our sales team and discuss licensing within your app or platform.

How secure is this solution for sensitive documents?

Affinda makes it a priority to comply with current data protection regulations. We store all extracted credit note data in a secure location, and encrypt it to prevent it from being read by unauthorized parties. You’ll find more details here.

Teams getting their productivity back

Jon S

Good flexibility; we have some unique requirements and they were able to work with us on that.

Haley B

It was very easy to embed the CV parser in our existing systems and processes. Clear and transparent API documentation for our development team to take forward.

James E

The team at Affinda is very easy to work with. They are a great partner to work with, and I foresee more business opportunity in the future.

Rebecca N

We evaluated four competing solutions, and after the evaluation we found that Affinda scored best on quality, service and price.

James M