The first step is to provide an image or PDF file of a document containing a name to our API. Usually this is done from a mobile app, email, FTP, or web application.
The document can be sent both cropped (without background) and uncropped (with background). If the image is sent uncropped, our API automatically crops it to the right size.
Step 2 : Image to text with OCR
As soon as an image or PDF with a name has been submitted, it is converted to a TXT file. In this step, all text from the document is extracted, but not yet structured.
Next to names, other data fields can be extracted from documents. For example, we can extract all data from an ID document, such as:
• Given name
• Maiden name
• Maiden name
• Date of birth
• Expiration date
Step 3: JSON output from the API
The Klippa parser takes the TXT gained in step 2, and converts it into structured JSON by using machine learning. The JSON is returned as output from the API. The name and all data required on the document is now extracted.
Now, the field can easily be processed into your database. Whether you are processing names for identity verification, financial transactions, or loyalty campaigns, Klippa is here to help you.
The image on the left is a simplified example of the JSON response.
Why use Klippa’s data capture software for names?
Spend less on extracting names from documents and images by using Klippa.
Extract names automatically within seconds.
Prevent manual data entry errors with high quality extraction of names.
Automatically recognize errors, duplicates, and fraud.
Automate the extraction of names from any document
Below is a list of documents from which you can extract names. This is not an exhaustive list, but depends on what the client requires.
Frequently Asked Questions
What does OCR for names cost?Which document types can be processed automatically?What are common use cases?Which languages does Klippa support?Is Klippa name processing GDPR-compliant?Can Klippa convert documents to CSV, XLSX, XML or JSON?
Which document types can be processed automatically?
Klippa can extract names from any type of document. Commonly processed documents are identity cards, passports, invoices, receipts, applications, forms and shipping labels, among others.
What are common use cases?
Name extraction can be useful for several reasons, For example, it can be used to quickly and accurately verify a person’s identity, or to ensure that the information on the ID card matches other documents.
Manually typing names 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 name 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.
Do you have any questions about Klippa DocHorizon? Get in touch by mail, phone or chat!
+31 50 2111631