US Visa OCR
This article walks you through the building process of an OCR API that extracts data from US Visas using our deep learning engine. It will work for any visa issued by the United States of America.
- You’ll need a beta account. Sign up and confirm your email to login.
- You’ll need at least 20 US Visa images or pdfs to train your OCR.
Define your US Visa use case
First, we’re going to define what fields we want to extract from your US Visa.
- First name: The first name of the visa holder (Happyperson)
- Last name: The last name of the visa holder (Traveler)
- Passport number: The passport number of the visa holder (AB1234567)
- Control Number: The visa control number (20191234567890)
- Visa type: The visa type appearing on the US Visa (B1/B2)
That’s it for our use case. Feel free to add any other relevant data to fit your requirements.
Deploy your API
Once you have defined the list of fields you want to extract, head over to the platform and press the ‘Create a new API’ button.
You land now on the setup page. Here is the image you can use for setting up the API, and my setup looks like this:
Once you’re ready, click on the “next” button. We are going to specify the data types for each of the fields we want our API to extract.
To go further, you can download this json config to set up your data model or do it manually.
First name: type String that never contains numeric characters.
Last Name: type String without specifications.
Passport Number: type String without specifications.
Control Number: type Number without specifications.
Visa Type: type String without specifications.
Once you’re done setting up your data model, press the Start training your model button at the bottom of the screen.
Train your US Visa OCR
You’re all set!
Now is the time to train your US Visa deep learning model in the Training section of our API.
In a few hours (minutes if you're fast), you’ll get your first model trained and will be able to use your custom OCR API for parsing US Visa in your application.
To get more information about the training phase, please refer to the Getting Started tutorial. If you have any questions regarding your use case, feel free to reach out on our chat!