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This reference article provides a version-based description of Document Intelligence feature and capability releases, changes, updates, and enhancements.
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#### Document Intelligence SDK April 2023 preview release
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#### August 2023 (GA) release
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### [**C#**](#tab/csharp)
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***Version 4.1.0 (2023-08-10)**
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***Targets API version2023-07-31 by default**
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***Version 2023-02-28-preview is no longer supported**
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## Barcode extraction
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The Read OCR model extracts all identified barcodes in the `barcodes` collection as a top level object under `content`. Inside the `content`, detected barcodes are represented as `:barcode:`. Each entry in this collection represents a barcode and includes the barcode type as `kind` and the embedded barcode content as `value` along with its `polygon` coordinates. Initially, barcodes appear at the end of each page. Here, the `confidence` is hard-coded for the public preview (`2023-02-28`) release.
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The Read OCR model extracts all identified barcodes in the `barcodes` collection as a top level object under `content`. Inside the `content`, detected barcodes are represented as `:barcode:`. Each entry in this collection represents a barcode and includes the barcode type as `kind` and the embedded barcode content as `value` along with its `polygon` coordinates. Initially, barcodes appear at the end of each page. Here, the `confidence` is hard-coded for the API (GA) version (`2023-07-31`).
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## Training a model
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Custom classification models are only available in the [v3.1 API](v3-1-migration-guide.md)starting with API version ```2023-02-28-preview```. [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio) provides a no-code user interface to interactively train a custom classifier.
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Custom classification models are only available in the [v3.1 API](v3-1-migration-guide.md) version ```2023-07-31```. [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio) provides a no-code user interface to interactively train a custom classifier.
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When using the REST API, if you've organized your documents by folders, you can use the ```azureBlobSource``` property of the request to train a classification model.
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### YamlMime:Landing
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title: Azure AI Document Intelligence documentation # < 60 chars
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summary: Azure AI Document Intelligence (formerly Form Recognizer) is a cloud-based Azure AI service that uses machine-learning models to extract key-value pairs, text, and tables from your documents.\n Document Intelligence analyzes your forms and documents, extracts text and data, maps field relationships as key-value pairs, and returns a structured JSON output.\n You quickly get accurate results that are tailored to your specific content without excessive manual intervention or extensive data science expertise.\n Use Document Intelligence to automate your data processing in applications and workflows, enhance data-driven strategies, and enrich document search capabilities. # < 160 chars
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summary: Azure AI Document Intelligence (formerly Form Recognizer) is a cloud-based Azure AI service that uses machine-learning models to automate your data processing in applications and workflows. Document Intelligence is essential for enhancing data-driven strategies and enriching document search capabilities. # < 160 chars
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metadata:
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title: Document Intelligence documentation - Quickstarts, Tutorials, API Reference - Azure AI services | Microsoft Docs
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