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Credit Card Statement OCR Data Extractor.


Accurately extract over 20+ data fields from multiple Credit card statements all at once, including line items, in 56 languages.

500+
global customers
250M+
documents processed
10+
years experience

Affinda is trusted by some of the world's leading organisations

See our Credit Card Statement parser in action.


Our easy-to-use parser's interface is designed for everyone, with no training required for use.

Want to try the free tool?

Open this web page on a desktop device to upload your documents and see how it works for yourself.

What is a Credit Card Statement OCR data extractor?

A credit card statement OCR (Optical Character Recognition) data extractor is a technology solution designed to convert different types of documents, like scanned documents, PDF files, images or photographs of texts into machine-readable and editable data. Specifically, it is used to extract pertinent data from credit card statements. In the traditional method, people manually read and record data from credit card statements, a process that is time-consuming, costly, and prone to errors. However, with the use of OCR technology, this process is simplified. Credit card statements are scanned or photographed, and then the OCR software reads the printed characters, recognizing and converting them into digital data. The importance of using an AI-powered credit card statement OCR data extractor is mainly tied to its efficiency, accuracy, and cost-effectiveness. It significantly reduces the time and resources spent on data entry or correction tasks, enables faster decision-making and increases productivity. This technology also helps to minimise human errors.

OCR data extraction can also aid in fraud detection by enabling swift screening and analysis of transaction records on credit card statements. These advantages are driving the widespread adoption of OCR data extractors in various business domains, thereby enhancing operational efficiency, boosting profit margins, and improving service delivery. Ultimately, a credit card statement OCR data extractor serves as a vital tool for digitising financial documents. In an era of digital innovation, its importance cannot be overstated since it makes data more accessible, easier to manage, promotes time-efficiency and reduces costs. By transforming the way information is gathered and analysed, OCR technology serves as a pivotal component in big data and AI operations, revolutionising multiple industries and their operations.

Automatically process your Credit card statements in four simple steps.

Step 1

Upload your documents to Affinda directly to our app, or by integrating with email or document management platforms

Step 2
Our OCR Credit Card Statement extractor will automatically scan, extract, label and categorise the data on the Credit card statements in seconds
Step 3
Export the data in a structured and usable format. Integrate our Credit Card Statement parser with any downstream system or platform to use your data where you need it most
Step 4

Need an AI data extractor customised to your specific business needs? Our expert team can build a model tailored to your business workflows that integrates seamlessly with existing processes.

Extract data from dozens of fields.


Our AI Credit Card Statement OCR solution automatically extracts data from over 20+ fields.

Customer details:

  • Customer Name
  • Customer Billing Address

Account details:

  • Member Number
  • Account Number
  • BSB
  • Credit Limit
  • Annual Interest Rate
  • Available Credit

Bank details:

  • Bank Name
  • Bank Business Number
  • Bank Address

Statement details:

  • Statement Period
  • Statement Number
  • Page

Payment details:

  • Payment Due Date
  • Minimum Payment
  • Overdue Payment/s
  • Total Payment Due

Line-item details:

  • Opening Balance
  • Debits This Period
  • Payments Received
  • Fees & interest Charges
  • Closing Balance

Don’t see the fields you need above?

Affinda makes it easy to add custom fields according to your bespoke requirements.
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Innovative features that set us apart from the rest.

Superior accuracy

Over 20+ fields extracted

Supports multiple file formats: PDF, JPG, PNG

Highly flexible and customisable

Supports over 56 languages

Upload and extract in bulk

Self-learning models improve over time

Seamless upstream and downstream integration

Extract Data from Credit Card Statements with AI OCR Parser | Affinda

Businesses around the world use our Credit Card Statement OCR Extractor in different industries and use cases.

Banking institutions utilise our Credit Card OCR Extractor to automate the process of entering credit card information during various transactions, thus delivering a more efficient customer experience.

E-commerce businesses use our Credit Card OCR Extractor to streamline checkout processes, enhance customer experience, and reduce the chances of errors during manual entry of credit card details.

Travel and hospitality companies use our Credit Card OCR Extractor to expedite the booking process by quickly and accurately capturing credit card information, contributing to seamless guest experiences.

Need to automate your Credit Card Statement workflows? Contact us.

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We can build a solution for any document
workflow within weeks.

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