OCR BANK-Scan: Debit and Credit Bank Card Scanner
Seamlessly integrate the SDK for precise credit card scanning, offering extensive support for various formats and environments, ensuring secure and efficient recognition.
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Seamlessly integrate the SDK for precise credit card scanning, offering extensive support for various formats and environments, ensuring secure and efficient recognition.
Send request
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The core idea behind OCR Studio is Data Privacy.
In line with this idea, we created on-premise solutions.
On-premise OCR means all data is processed offline directly in the local memory (RAM) and never leaves the client’s device, which allows us to ensure an unrivaled level of data privacy for our clients.
Learn more about Data Privacy
AI driven payment automation with our universal tool – compatible with any bank card format, adaptable to any environment, and ready for seamless integration!
Credit card scanner app with on-premise SDK for smartphones, desktops, or server-side applications.
Scans any credit or debit card on a modern smartphone in as little as 0.09 seconds per frame.
Fast and accurate recognition, even from a web-camera.
Integrate the credit or debit card scanner seamlessly into PWAs and web apps.
Recognizes bank card number with an accuracy rate of 99.6% and higher.
On-premise credit card scanner compatible with PCI DSS-compliant applications and supports secure credit card scanning for payment workflows.
Out-of-the-box support for credit and debit card formats from 21 payment systems, including Visa, Mastercard, UnionPay, and American Express.
Scans all bank card details, including card number, expiry date, cardholder name, security code, and additional information.
Detects and recognizes the bank card number without needing to see the entire card.
Compatible with embossed credit cards, as well as cards produced with thermal, indent, or regular printing techniques.
Supports vertical credit card templates and card number formats in 1-line, 2-line or 4-line layouts, as well as IBAN cards.
Recognizes bank cards without exact positioning, even if not all sides are visible.
Scans credit and debit cards accurately from any capture angle in photos and video streams using OCR credit card scanner technology.
Supports scanning in various lighting conditions, including insufficient or excessive illumination.
Robust against high-contrast shadows, highlights, and low-resolution inputs.
Integrate with flexible APIs, multi-platform SDKs, and in-browser scanning capabilities for enhanced payment solutions.
Provides confidence scores for bank card fields, found object coordinates, user-defined data masking, and more.
Enables in-browser scanning of bank cards, compatible with all modern web browsers.
Supports React Native and Flutter for mobile app development.
Includes practical examples for all supported integration methods.
Offers a REST API for low-code credit card scanner integration and native APIs for C++, C#, Java, and Python.
Available for Android, iOS, Windows, and Linux.
Compatible with x86, x86_64, ARMv7, ARMv8, and ARMv9 (AArch32 and AArch64) architectures.
# Python
engine_instance = ocrstudiosdk.OCRStudioSDKInstance.CreateFromPath(<PATH_TO_CONFIGURATION_FILE>)
session = engine_instance.CreateSession(
<SIGNATURE>,
"{\"session_type\": \"document_recognition\", \"target_group_type\": \"default\", \"target_masks\": \"card.*\"}"
)
image = ocrstudiosdk.OCRStudioSDKImage.CreateFromFile(<PATH_TO_IMAGE>)
session.ProcessImage(image)
result = session.CurrentResult()
target = result.TargetByIndex(0)
item_it = target.ItemsBegin('string')
while not item_it.IsEqualTo(target.ItemsEnd('string')):
name = item_it.Item().Name()
value = item_it.Item().Value()
item_it.Step()
// Java
OCRStudioSDKInstance engine_instance = OCRStudioSDKInstance.CreateFromPath(<PATH_TO_CONFIGURATION_FILE>);
OCRStudioSDKSession session = engine_instance.CreateSession(<SIGNATURE>,
"{\"session_type\": \"document_recognition\", \"target_group_type\": \"default\", \"target_masks\": \"card.*\"}");
OCRStudioSDKImage image = OCRStudioSDKImage.CreateFromFile(<PATH_TO_IMAGE>);
session.ProcessImage(image);
OCRStudioSDKResult result = session.CurrentResult();
OCRStudioSDKTarget target = result.TargetByIndex(0);
for (OCRStudioSDKItemIterator item_it = target.ItemsBegin("string"); !item_it.IsEqualTo(target.ItemsEnd("string")); item_it.Step()) {
String name = item_it.Item().Name();
String value = item_it.Item().Value();
}
// C#
ocrstudio.OCRStudioSDKInstance engine_instance = ocrstudio.OCRStudioSDKInstance.CreateFromPath(<PATH_TO_CONFIGURATION_FILE>);
ocrstudio.OCRStudioSDKSession session = engine_instance.CreateSession(<SIGNATURE>,
"{\"session_type\": \"document_recognition\", \"target_group_type\": \"default\", \"target_masks\": \"card.*\"}");
ocrstudio.OCRStudioSDKImage image = ocrstudio.OCRStudioSDKImage.CreateFromFile(<PATH_TO_IMAGE>);
session.ProcessImage(image);
ocrstudio.OCRStudioSDKResult result = session.CurrentResult();
ocrstudio.OCRStudioSDKTarget target = result.TargetByIndex(0);
for (OCRStudioSDKItemIterator item_it = target.ItemsBegin("string"); !item_it.IsEqualTo(target.ItemsEnd("string")); item_it.Step()) {
String name = item_it.Item().Name();
String value = item_it.Item().Value();
}
// C++
std::unique_ptr<ocrstudio::OCRStudioSDKInstance> engine_instance(ocrstudio::OCRStudioSDKInstance::CreateFromPath(<PATH_TO_CONFIGURATION_FILE>));
std::unique_ptr<ocrstudio::OCRStudioSDKSession> session(engine_instance->CreateSession(<SIGNATURE>,
"{\"session_type\": \"document_recognition\", \"target_group_type\": \"default\", \"target_masks\": \"card.*\"}"));
std::unique_ptr<ocrstudio::OCRStudioSDKImage> image(ocrstudio::OCRStudioSDKImage::CreateFromFile(<PATH_TO_IMAGE>));
session->ProcessImage(*image);
const ocrstudio::OCRStudioSDKResult& result = session->CurrentResult();
const ocrstudio::OCRStudioSDKTarget& target = result.TargetByIndex(0);
for (auto item_it = target.ItemsBegin("string"); item_it != target.ItemsEnd("string"); item_it.Step()) {
string name = item_it.Item().Name();
string value = item_it.Item().Value();
}
// JavaScript
importScripts("ocrstudiosdk_wasm.js")
OCRSTUDIOSDK = await OCRStudioSDK(module)
instance = new OCRSTUDIOSDK.OCRStudioSDKInstance(
"{ \"enable_lazy_initialization\": false, \"enable_delayed_initialization\": true, \"initialization_num_threads\": 1}"
)
spawnedSession = instance.CreateSession("<signature>", "<session_params>")
// <input type="file" id="file-selector"> must exist in HTML
fileSelector = document.querySelector("#file-selector")
fileSelector.addEventListener("change", (event) => {
reader = new FileReader()
reader.addEventListener("load", (event) => {
imageData = event.target.result
image = OCRSTUDIOSDK.CreateFromFileBuffer(imageData)
spawnedSession.ProcessImage(image)
result = spawnedSession.CurrentResult()
})
})
expiry_date: 08/28
name: AHMED SAEED AL MANSOORI
number: 9000 1234 5678 9000
Our AI solution ensures maximum data protection
by processing all customer information exclusively
on the end-user's device.
A client uses their camera to take a photo or video of a bank card; then, the bank card OCR detects card regions, analyzes number and text fields, and scans all bank card details, including card number, expiry date, cardholder name, and additional information. Once the information is recognized, it’s instantly converted into structured data for payment systems.
Debit and credit card recognition technology by OCR Studio has out-of-the-box support for credit and debit card formats from 21 payment systems, including Visa, Mastercard, UnionPay, and American Express. Furthermore, it is compatible with vertical card templates and card number formats in 1-line, 2-line or 4-line layouts, as well as IBAN cards.
The credit card scanner by OCR Studio works ultra-fast. It scans any credit or debit card on a modern smartphone in as little as 0.09 seconds per frame, enabling automated card scan for rapid payment processing.
The debit card scanner by OCR Studio is compatible with smartphones and computers with a web-camera. Moreover, the SDK can be integrated into mobile applications, server-side applications, or web browsers (with the help of WebAssembly), and the technology can recognize data from photos as well as video streams.
Yes, the credit card recognition technology by OCR Studio is completely secure. OCR Studio does not store customer data, and no client information is sent to external servers, as all processing is performed on the customer’s device. Since OCR Studio’s technology operates fully offline — meaning no client information is sent to external servers, as all processing is performed on the customer’s device — it is fully compatible with PCI DSS-compliant applications.
Absolutely. The scanner operates 100% offline on-device, ensuring cardholder data is never exposed or transmitted. This is crucial for fintech apps, payment terminals, and self-service kiosks that require secure local processing with scan debit and credit card functionality.
By integrating OCR Studio’s bank card scanner, businesses can accelerate card data entry, reduce user friction, and automate onboarding or payment workflows. It also helps improve security and data compliance by avoiding manual entry and enabling offline operation. Our card scanning solutions SDK helps improve security and data compliance by avoiding manual entry and enabling offline operation.
OCR BANK-Scan offers diverse integration options for native mobile apps, desktop systems, web pages and points of service. Learn more about integration options on the Developers page.
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