Delivery Note OCR
This article walks you through the building process of an OCR API that extracts data from Delivery Note using our deep learning engine. It will work for any bank company or bank statement template.
Prerequisites
- You’ll need a free beta account. Sign up and confirm your email to login.
- You’ll need at least 20 Delivery Note images or pdfs to train your OCR.
Define your Delivery Note use case
First, we’re going to define what fields we want to extract from your Delivery Note.
- Entity Name: The full name of the entity
- Code: The delivery code
- Shipping Method: The shipping Method's code
- Sales Person: The full name of the salesperson
- Order Number: The order number
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 ‘build a new endpoint’ 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 step” 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.
Entity name: type String that never contains numeric characters.
Code: type String without specifications.
Shipping Method: type String that never contains numeric characters.
Salesperson: type String that never contains numeric characters.
Order Number: type String without specifications.
Once you’re done setting up your data model, press the Data model ready? start training button at the top of the screen.
Train your Delivery Note OCR
You’re all set!
Now is the time to train your Delivery Note 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 Delivery Note 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!