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Azure General Document


Applies advanced machine learning to accurately extract from a variety of document types

The general document API supports most form types and will analyze your documents and extract keys and associated values. It's ideal for extracting common key-value pairs from documents. You can use the general document model as an alternative to training a custom model without labels.

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

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 general_infer

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

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.