Azure Custom Form Recognizer
Applies advanced machine learning to accurately extract from forms and tables in documents while allowing for custom training
You can list a component in the marketplace, and define if you want it to be a template.
✅ Available in Marketplace
✅ Can be used as a template to create a new component
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.
Metadata
✅ Atomic Deployment (Recommended)
✅ Trainable
Model Runtime
A model needs to reference a model runtime to use.
✅ kodexa/base-model-runtime
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.
| Parameter Name | Value |
|---|---|
| module | azure_models |
| function | custom_form_infer |
| training_function | custom_form_train |
Training Options
The model can be trained using the following options:
| Option Name | Default | Required? | Type | Description |
|---|---|---|---|---|
| azure_key_credentials | None | True | credential | None |
| azure_form_sas_container | None | True | credential | None |
| model_build_mode | template | True | string | None |
Inference Options
When you use the model for inference, you can use the following options:
| Option Name | Default | Required? | Type | Description |
|---|---|---|---|---|
| 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 |