Azure Receipt Recognizer
Applies advanced machine learning to accurately extract from receipts
The Azure Receipt Recognizer is a model that makes use of the Form Recognizer to extract key information from receipts. It provides transaction details such as merchant name, transaction date, and total amount.
You can list a component in the marketplace, and define if you want it to be a template.
✅ Available in Marketplace
❌ Can not be used as a template
What is a Model?
This component is a model, which is a type of store that is specialized for handling AI/ML model storage, which includes both the implementation, and the results of training.
Models are a foundational part of Kodexa, and are used in many different ways. For example, a model can be used to classify documents, or to extract data from documents. Models can also be used to train other models.
✅ Atomic Deployment (Recommended)
❌ Not trainable
A model needs to reference a model runtime to use.
The model also has the following model runtime parameters configured. This influences how the model is run, see the model runtime references to determine what parameters are available.
When you use the model for inference, you can use the following options:
|store_azure_output||False||None||boolean||Store the JSON response from Azure in the document as a feature on the root node|
|keep_azure_lines||True||None||boolean||Retain the line layout from Azure in the document|
Model Label Taxonomy
This model provides a taxonomy of labels that can be applied, these labels are not used to extract data but are "meta-labels" that are in place to help the model train on the content.