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Azure Custom Form Recognizer

azure-custom-form-model

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