OCR for Bank Statements

Extract and parse data from bank statements with AI-powered OCR software. Process bank statements securely with Klippa.
Reduce your turnaround time by up to 70%
Enjoy up to 99% data extraction accuracy

Trusted by 1000+ brands worldwide

Ensure flawless data extraction
Accurately capture predefined fields from bank statements with Artificial Intelligence.
Accelerated workflows with lightning-fast OCR
Reduce the turnaround time of financial processes and loan approvals.
Simpler operations, less manual data entry
Automate your financial workflows, prevent errors, and enjoy time savings.
How it works

Process Bank Statements in Just a Few Steps

Instantly capture and convert your bank statements into any structured format for easier integration. Always get the best results with automatic edge detection for more accurate processing.
Send Your Bank Statements
Scan your bank statements with our mobile scanning solution or upload them to our platform in any of the following formats: 
.jpg, .jpeg, .png, .pdf, .doc, .docx, .xlsx, .heic, .webp, and more.
Extract Data
Choose which data fields you want to extract, such as the account holder’s name, address, account number, or bank branch details.
Receive Formatted Output
Thanks to machine learning, you can have your data in a structured format like JSON, XML, or CSV.
Forward Your Data
After transforming your bank statement data into a structured format, you can then forward it to your software of choice for further processing.

Compatible With Your Favourite Tools

See all of our 50+ integrations.

What Data Fields You Can Capture with Klippa’s Bank Statement OCR

Here are a few examples of data fields you can extract. All fields can be fully customizable to your needs. Need to extract additional fields? Let us know!
Bank statement vendor
Bank BIC code
Bank account number (IBAN)
Bank account holder
Address details
Date range
Starting balance
Final balance
Total amount credited
Total amount debited
Refunds
…and many more fields!
Klippa DocHorizon

Bank Statement OCR Features

Our machine learning technology can automate many bank statement related business processes via our IDP platform, APIs and SDKs.
Bank statement scanning & parsing
Format conversion to structured data
Image to text and JSON with OCR
Bank statement data extraction
Classification of transactions
Validating bank statement data
Financial workflow automation
Digitization of bank statements
How to Implement

Automate Bank Statement Processing With Software

Klippa provides easy integration via our platform, API, or SDK, and broad compatibility with major platforms and tools. Our well-documented solutions guarantee a hassle-free and smooth experience.

Low-Code Platform

Easily create & automate your entire document workflow on one IDP platform.

API Integration

Connect our document parsing module to your own application(s) via API.

Mobile Scanning SDK

Employ our SDKs to empower your mobile applications with smart scanning.

We Take Your Data Privacy & Security Seriously

“It is extremely pleasant to work together with a party that is as ambitious as we are. The willingness and speed with which Klippa implemented specific modifications for us is impressive.”
Leon Backbier
IT Manager, Banijay Benelux
Let’s begin!
Discover the power of Klippa’s Bank Statement OCR, as our experts help you revolutionize your document processing.

Frequently Asked Questions

What does bank statement processing cost?
The pricing structure for Klippa depends on the amount of fields and the scanning volume. Both pay per use and monthly licenses are available. Get in contact with our solution architects to get an exact quote.
What types of statements are supported?
Klippa can extract all information from bank statements using OCR. We support languages in the Latin, Greek and Hebrew alfabet. We provide out of the box support for major banks and provide custom support to other banks by training our existing machine learning algorithms.

Did you know that apart from bank statements, Klippa OCR can scan other types of financial documents, such as credit card statements, payslips, and SEPA authorizationsContact us for more information.
Is Klippa bank statement capturing GDPR compliant?
All the services that Klippa offers are fully GDPR compliant. We only use ISO certified servers within the European Union for processing. A data processor agreement is in place. We do not store any of your or your customers’ data after processing.
Is extraction of bank statement lines supported?
Yes. Klippa can extract general statement data, as well as line item data. Optionally we can even divide lines into specific (risk) categories. 
How long does processing bank statements with OCR take?
The speed of processing depends on the amount of pages and the document type. In general processing a statement of up to 3 pages takes less than 5 seconds. The more pages, the longer processing will take.
Can Klippa convert bank statements to CSV, XLSX, XML or JSON?
Yes we can. Klippa takes pictures of bank statements, or their PDF equivalents, and converts them to readable text using OCR. From there we use machine learning to turn the text into structured data. Most of the time we use JSON for this, but depending on your preferences we can also convert bank statements to CSV, XLSX or XML.

When to automate bank statement processing

The automated processing of bank statements using OCR and machine learning is mostly used for smart lending, bank reconciliation / key off, credit checks and accounting purposes. At Klippa, we help companies in these sectores by providing them with plug and play APIs and SDKs for document processing. Our bank statement extraction software enables you to focus on your core business, while we take care of the head ache of data entry.