Label and train customized models for your documents and compose multiple models into a single model identifier.

August 15, 2026 - Document Intelligence custom models require a handful of training documents to get started. If you have at least five documents, you can get started training a custom model. You can train either a custom template model (custom form) or a custom ...

May 21, 2026 - Classifier models can also identify multiple documents or multiple instances of a single document in the input file. Document Intelligence custom models require as few as five training documents per document class to get started.

Azure Document Intelligence in ... flows. You can use a prebuilt domain-specific model or train a custom model tailored to your specific business needs and use cases....

March 20, 2024 - Azure Document Intelligence custom model provides two potent custom model options: Custom Neural Models and Custom Template Models. The former harnesses deep learning to adeptly handle generally unstructured documents, where field placements ...

Document Intelligence enables training a model to extract key-value pairs and tables using supervised learning capabilities. ... From the Studio homepage, select Create new from the Custom model card.

August 25, 2026 - Custom classification models are supported by the v4.0 2024-11-30 (GA) API. Document Intelligence Studio provides a no-code user interface to interactively train a custom classifier.

October 16, 2024 - Label and train customized models for your documents and compose multiple models into a single model identifier.

Inferencing with the custom models is done by using SDKs or document models REST API. The modelId, or model name, specified during model creation is included in the request URL for document analysis.

July 31, 2026 - Custom template models are generally available with the v3.1 API. If you're starting with a new project or have an existing labeled dataset, use the v3.1 or v3.0 API with Document Intelligence Studio to train a custom template model.

Document Intelligence enables training a model to extract key-value pairs and tables using supervised learning capabilities. ... From the Studio homepage, select Create new from the Custom model card.

Document Intelligence Studio is an online tool to visually explore, understand, train, and integrate features into your applications. You can easily extract key data from documents or create your own custom models with a no-code approach.

March 22, 2026 - There are many scenarios in which you may need to recreate a custom model from an existing model’s metadata. The process consists of six steps, each outlined in detail below. ... Create the target resource group, storage account with containers, and Document Intelligence instance

Now that the sample forms are labeled, we can train the first custom model: In the Azure AI Document Intelligence Studio,on the top right of the screen, select Train.

Compose several custom models into a single model for easier data extraction from groups of distinct form types.

June 2, 2026 - Use the custom classification model to train a model to identify and split the documents you process within your application.

Custom models are dependent on the API version of the Layout API version and the API version of the model build operation. For best results, continue to use the API version the model was trained with for all analyze requests. The guidance applies to all Document Intelligence custom models including extraction and classification models.

May 26, 2026 - In our previous article, we created and use Azure document intelligence OOB models. What we’ll embark on now is to build custom models and use them to extract data from them

To create custom models, start with configuring your project: From the Studio homepage, select Create new from the Custom model card. Use the ➕ Create a project command to start the new project configuration wizard.