OCR for Bank Identifier Codes (BIC)
Extract and parse Bank Identifier Codes with AI-powered OCR software. Transform BIC (SWIFT) codes into digital data instantly.
Trusted by 1000+ brands worldwide
Ensure flawless data extraction
Accurately capture Bank Identifier Codes with Artificial Intelligence.
Accelerated workflows with lightning-fast OCR
Reduce turnaround time with real-time feedback. Send and receive data instantly.
Simpler operations, less manual data entry
Automate your document workflows, prevent errors, and enjoy time savings.
How it works
Process Bank Identifier Codes in Just a Few Steps
Instantly capture and convert BIC-related documents into any structured format for easier integration. Always get the best results with automatic edge detection for more accurate processing.
Send Your Documents
Take a picture or send a PDF of your document containing a BIC and upload it to our platform in any of these formats:
.jpg, .jpeg, .png, .pdf, .doc, .docx, .xlsx, .heic, .webp, and more.Extract Data
As soon as a picture or PDF of your document has been received, each page is converted to a TXT file and the BIC from the document is extracted.
Receive Formatted Output
The Klippa Parser then takes the TXT and converts it into structured data. Thanks to machine learning, you can have your data in a structured format like JSON, XML, or CSV.
Forward Your Data
After transforming your data into a structured format, you can then forward it to your software of choice for further processing.
Klippa DocHorizon
BIC (SWIFT) OCR Features
Our machine learning technology can automate many BIC-related processes via our IDP platform, APIs and SDKs.
Scanning and capturing
Format conversion to structured data
Image to text and JSON with OCR
Data extraction
Document classification
(Cross) validating work order data
Workflow automation
Fraud detection
Supported Documents
Automate BIC 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 BIC OCR 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.”
Let’s begin!
Discover the power of Klippa’s Bank Identifier Code OCR, as our experts help you revolutionize your document processing.
Frequently Asked Questions
What are BIC bank codes?How much does BIC OCR cost?Which document types can be processed automatically?What are common use cases?Which languages does Klippa support?Is Klippa BIC processing GDPR-compliant?Can Klippa convert documents to CSV, XLSX, XML or JSON?
What are BIC bank codes?
BIC stands for “Bank Identifier Code” and is often interchangeably used with the term SWIFT (Society for Worldwide Interbank Financial Telecommunication). In general, a BIC code is required for making international transactions.
For businesses with a global presence, the BIC is highly relevant as it is used to identify a specific bank when making an international transaction. You can think of it as an 8 to 11-character postal code for a bank.
But why is the BIC code so important? Simply put, it ensures that your money is transferred to the right place. All BIC/SWIFT codes follow the same structure.
They are arranged as follows: AAAABBCCDDD
– AAAA: 4-character bank code, which looks like a shortened version of the bank’s name
– BB: 2-character country code, that allows you to recognize which country the bank is in
– CC: 2-character location code, which tells you where the bank’s head office is located
– DDD: 3-character branch code (optional) telling you where the specific branch is located
Some banks may not use the 3-character branch code, which is why they will have a shorter (8-character) BIC code. The branch code is then replaced by a triple X or left off entirely for these banks.
How much does BIC OCR cost?
The pricing structure for Klippa BIC capturing depends on the document volume and the page count. Both, pay per use and monthly licenses are available.
Get in contact with one of our experts or request a quote.
Which document types can be processed automatically?
Klippa can extract data from any type of document containing a BIC or SWIFT code. Commonly processed documents for BICs are bank statements.
Did you know that apart from BIC numbers, Klippa’s OCR can scan other types of data fields, such as IBANs, social security numbers, or even VAT numbers? Contact us for more information.
What are common use cases?
BIC extraction can be done for several reasons, usually with regard to international payments. Especially in a company where you have to perform lots of payments daily, weekly or monthly.
Manually typing over BIC or SWIFT codes into your database is no longer efficient or reliable. Whatever your use case is, you can replace manual data entry with Klippa.
Which languages does Klippa support?
Klippa supports all European languages. Our engine performs best on documents in English, Dutch, Norwegian, Danish, Swedish, Finnish, Italian, Portuguese, Spanish, German, Hebrew, and French.
Other languages can be supported on request. We are happy to train our machine learning models to assits you.
Is Klippa BIC processing GDPR-compliant?
All services that Klippa offers are fully GDPR-compliant. By default, we use ISO-certified servers within the European Union to process documents.
If you are not located within the EU, we can also set up servers in a region of choice.
Next to that, a data processor agreement is always in place. We don’t store any of your or your customer’s data after processing.
Can Klippa convert documents to CSV, XLSX, XML or JSON?
Yes we can.
Klippa takes pictures of documents, or their PDF equivalents, and converts them to readable text using OCR. From there, we use machine learning to turn text into structured data.
Most of the time, we use JSON, but depending on your preference we can also convert documents to CSV, XLSX or XML.