What's new in Azure Document Intelligence? Retirement notice: v3.0 API retires March 30, 2029 · Read · Layout · Financial Services and Legal · US Tax · Personal identification · Custom field extraction · Custom classification · Add-on capabilities · Query field extraction · Studio overview ·

You need the key and endpoint from the resource you create to connect your application to the Document Intelligence API. You paste your key and endpoint into the code later in the quickstart: A Foundry Tools or Document Intelligence resource. Once you have your Azure subscription, create a single-service or Azure multi-service resource, in the Azure portal, to get your key and endpoint.

To interact with the Document Intelligence service, you need to create an instance of the DocumentAnalysisClient class. To do so, instantiate the client with your key and endpoint from the Azure portal.

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Document Intelligence Studio supports Document Intelligence v3.0 and later API versions for model analysis and custom model training. Previously trained v2.1 models with labeled data are supported, but not v2.1 model training.

December 20, 2024 - Local authentication: access by API endpoint and key. Retrieve your endpoint and key from the Azure portal. Go to the overview page for your resource and select Keys and Endpoint from the left navigation bar. Enter the values in the appropriate fields. After validating the scenario in the Document Intelligence Studio, use the C#, Java, JavaScript, or Python client libraries or the REST API to get started incorporating Document Intelligence models into your own applications.

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.

Document Intelligence Studio supports Document Intelligence v3.0 and later API versions for model analysis and custom model training. Previously trained v2.1 models with labeled data are supported, but not v2.1 model training.

For an enhanced experience and advanced model quality, try Document Intelligence Studio · For v3.1 to v4.0 migration, see Changelog Migration guides. If you're using v3.0, migrate to v4.0 before March 30, 2029. See the Document Intelligence migration guide for migration steps. ... Find more samples on GitHub. ::: moniker-end ... Find more samples on GitHub. ::: moniker-end · ::: moniker range="doc-intel-2.1.0" [!INCLUDE applies to v2.1] ::: moniker-end ... Get started with Azure Document Intelligence using the programming language of your choice or the REST API.

The Document Intelligence Studio adds support for Microsoft Entra (formerly Azure Active Directory) authentication. For more information, see Authentication in Document Intelligence Studio. The Document Intelligence 2024-07-31-preview REST API is now available.

Document Intelligence Studio supports Document Intelligence v3.0 and later API versions for model analysis and custom model training. Previously trained v2.1 models with labeled data are supported, but not v2.1 model training.

The v4.0 API includes cumulative updates from preview releases as listed: ... The Document Intelligence Studio adds support for Microsoft Entra (formerly Azure Active Directory) authentication.

Accurately extract text, key-value ... by document type, intensive coding, or maintenance. Use Document Intelligence prebuilt models and layout APIs to extract information from your documents in an organized manner....

Local authentication: Access by API endpoint and key · Retrieve your endpoint and key from the Azure portal. Go to the overview page for your resource, and on the left pane, select Keys and Endpoint. Enter values in the appropriate fields. After you validate the scenario in Document Intelligence Studio, use the C#, Java, JavaScript, or Python client libraries or the REST API to incorporate Document Intelligence models into your own applications.

Use a token credential from azure-identity to authenticate with Microsoft Entra ID. Here's where to find your Document Intelligence API key in the Azure portal:

Use a programming language of your choice or the REST API. Azure Document Intelligence is a cloud-based Foundry Tools service that uses machine learning to extract key-value pairs, text, and tables from your documents.

● Document Intelligence Studio ... range="doc-intel-2.1.0" Azure Document Intelligence is a cloud-based Foundry Tools for developers to build intelligent document processing solutions....

March 22, 2026 - load_dotenv()endpoint = os.getenv("AZURE_DOC_INTELLIGENCE_ENDPOINT") model_id = os.getenv("AZURE_CUSTOM_MODEL_ID") async def submit_document(file_path: str) -> str: # Submit document for analysis and return the operation URL — don't wait for result. credential = DefaultAzureCredential() token = await credential.get_token("https://cognitiveservices.azure.com/.default") url = f"{endpoint}/documentintelligence/documentModels/{model_id}:analyze?api-version=2024-11-30" headers = { "Authorization": f"Bearer {token.token}", "Content-Type": "application/pdf" } with open(file_path, "rb") as f: file_b