Credit Card Extraction using Veryfi Lens

Instantly transcribe numbers and details from credit cards, while keeping PCI data securely on-device.

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Credit Card Extraction

Benefits you won't find anywhere else

Securely capture credit cards and other documents

Test Drive Veryfi Lens Document Scanning SDK in the App Stores

Veryfi Lens for iPhone   Veryfi Lens for Android

Process your credit cards in less time than it takes to read this.

See for yourself.

Features

  • Secure On-Device Credit Card Capture

    All credit card image processing and data extraction is performed entirely on the device, without being sent over the internet.

  • Automatic Document Detection

    Veryfi Lens includes a computer vision model that identifies credit cards in the viewfinder, greatly exceeding native smartphone capabilities for edge detection.

  • Enhanced Edge Detection

    Distinguish a credit card from its surroundings, including other hard edges and similarly colored surfaces.

  • Automatic Image Enhancement

    Veryfi Lens includes Al computer vision and camera features that optimize image quality to ensure the greatest possible data extraction accuracy.

  • Auto Capture
    Veryfi Lens can be configured to automatically capture an image when a credit card is detected in the viewfinder.
  • Auto Torch in Low Light
    The real-time Veryfi Lens computer vision model recognizes low light situations and automatically enables the device’s torch/flashlight to ensure high-quality credit card capture.

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Supported Fields

  • Vendor/Merchant
    • Name and Raw Name
    • Address and Raw Address
    • Logo
    • Phone
    • Fax
    • Email
    • Latitude
    • Longitude
    • Website Url
    • Logo
    • Vendor Category
    • Vendor Account currency
    • VAT Number (Value-Added Tax)
    • ABN Number (Australian Business Number)
    • Vendor Registration Number
    • Store Number Name (enriched)
    • Learn more …
  • Dates
    • Invoice Date
    • Due Date
    • Order Date
    • Ship Date
    • Delivery Date
    • Start Date (or arrival in hotel folio)
    • End Date (or departure in hotel folio)
    • Line Item Start Date (service provided dates)
    • Line Item End Date (service provided dates)
    • Learn more …
  • Line-Items
    • Date
    • SKU (Stock keeping unit)
    • UPC (Universal Product Code)
    • HSN (Harmonized System Code/Number)
    • Category
    • Section
    • Description
    • Quantity
    • Reference
    • Unit of Measure
    • Price
    • Tax
    • Tax Rate
    • Discount
    • Discount Rate
    • Total
    • Type (food, product, alcohol,..)
    • Weight (eg. kg/lb)
    • Start/End Date
    • Country of Origin
    • Lot number
    • Learn more …
  • Financials
    • Subtotal
    • Discount
    • Cashback
    • Shipping cost
    • Tax (VAT, GST)
    • Tax Lines
    • Tip
    • Total
    • Rounding
    • Currency Code
    • Currency Exchange Rate
    • Insurance
    • Incoterms
    • Balance (current / previous)
    • Learn more …
  • Tax Lines Breakdown
    • Tax name
    • Tax rate %
    • Tax total
    • Tax base
  • Meta
    • Document Type (receipt/check/purchase order/invoice etc)
    • Document Title
    • Category
    • Tag
    • OCR Text
  • Ship To
    • Name
    • Address
    • Tracking Number
    • Ship Date
    • Delivery Date
    • Order Date
    • Incoterms
    • Insurance
    • Weight + List
  • Bank Information
    • Bank name
    • Bank number
    • Routing number
    • Account number
    • IBAN (International Bank Account Number)
    • SWIFT / BIC
    • Learn more …
  • Barcodes
  • Payment Method
    • Card Type (eg. visa, mastercard etc)
    • Card Number
    • Terms
  • Identifiers
    • Account Number
    • Invoice Number
    • PO (Purchase Order) Number
    • Reference Number
  • Bill To
    • Name
    • Address
    • Phone Number
    • Email
    • VAT Number
    • ABN Number
    • Bill to ABN Number
    • Payment Terms
    • Business Registration Number
OCR API Platform
from veryfi import Client
my_client = Client (). config_receipt ( "api-key" )
receipt_doc = my_client. doc_from_path ( "/path/to/receipt.jpg" )
parsed_receipt = receipt_doc. parse ( "receipt" )
Lens Mobile Capture Framework
$ node server.js && veryfi listen
> Ready! Waiting for requests…
2022-09-04 13:54:57 [ 200 ] 2022-09-04 13:54:57 [200] receipt_data.created
2022-09-04 13:54:57 [ 200 ] charge.succeeded
2022-09-04 13:54:57 [ 200 ] receipt_data.succeeded

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Integrate Veryfi with just a few lines of code, liberating your team to stay focused on building industry-leading customer experiences.

Resources
Github Repo

What is Extracting Credit Card Details for?

Credit Card Extraction using OCR is technology that allows credit card information to be read and extracted from a physical card or image using specialized software. This technology has revolutionized the payment industry by providing a quick and efficient way to process credit card information. Instead of manually entering credit card details, which can be time-consuming and prone to errors, credit card OCR can quickly and accurately extract the relevant information, such as the cardholder’s name, card number, expiration date, and security code. This technology is widely used in various industries, including e-commerce, finance, and retail, to streamline payment processing and improve customer experience.

To extract credit cards, businesses can either develop their own software or use existing OCR solutions available in the market. These OCR solutions use advanced algorithms to analyze the credit card image and identify the relevant information accurately. By using credit card OCR, businesses can reduce the risk of errors, save time and money, and provide a seamless payment experience for their customers. Additionally, with the increasing trend towards online transactions driving higher expectations for convenience, credit card OCR has become an essential tool for businesses to stay competitive.

Dig deeper into our tech stack & industry insights