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articles/ai-services/computer-vision/how-to/call-read-api.md

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# Call the Azure AI Vision 3.2 GA Read API
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In this guide, you'll learn how to call the v3.2 GA Read API to extract text from images. You'll learn the different ways you can configure the behavior of this API to meet your needs. This guide assumes you have already <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision" title="created a Vision resource" target="_blank">create a Vision resource </a> and obtained a key and endpoint URL. If you haven't, follow a [quickstart](../quickstarts-sdk/client-library.md) to get started.
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This guide shows you how to call the v3.2 GA Read API to extract text from images. You'll learn the different ways you can configure the behavior of this API to meet your needs. This guide assumes you have already <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision" title="created a Vision resource" target="_blank">create a Vision resource </a> and obtained a key and endpoint URL. If you haven't, follow a [quickstart](../quickstarts-sdk/client-library.md) to get started.
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[!INCLUDE [read-editions](../includes/read-editions.md)]
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The **Read** API call takes images and documents as its input. They have the following requirements:
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* Supported file formats: JPEG, PNG, BMP, PDF, and TIFF
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* For PDF and TIFF files, up to 2000 pages (only the first two pages for the free tier) are processed.
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* The file size of images must be less than 500 MB (4 MB for the free tier) and dimensions at least 50 x 50 pixels and at most 10000 x 10000 pixels. PDF files do not have a size limit.
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* For PDF and TIFF files, up to 2,000 pages (only the first two pages for the free tier) are processed.
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* The file size of images must be less than 500 MB (4 MB for the free tier) and dimensions at least 50 x 50 pixels and at most 10,000 x 10,000 pixels. PDF files don't have a size limit.
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* The minimum height of the text to be extracted is 12 pixels for a 1024 x 768 image. This corresponds to about 8 font point text at 150 DPI.
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>[!NOTE]
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### Specify the OCR model
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By default, the service will use the latest generally available (GA) model to extract text. Starting with Read 3.2, a `model-version` parameter allows choosing between the GA and preview models for a given API version. The model you specify will be used to extract text with the Read operation.
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By default, the service uses the latest generally available (GA) model to extract text. Starting with Read 3.2, a `model-version` parameter allows choosing between the GA and preview models for a given API version. The model you specify will be used to extract text with the Read operation.
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When using the Read operation, use the following values for the optional `model-version` parameter.
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| Not provided | Latest GA model |
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| latest | Latest GA model|
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| [2022-04-30](../whats-new.md#may-2022) | Latest GA model. 164 languages for print text and 9 languages for handwritten text along with several enhancements on quality and performance |
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| [2022-01-30-preview](../whats-new.md#february-2022) | Preview model adds print text support for Hindi, Arabic and related languages. For handwritten text, adds support for Japanese and Korean. |
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| [2022-01-30-preview](../whats-new.md#february-2022) | Preview model adds print text support for Hindi, Arabic, and related languages. For handwritten text, adds support for Japanese and Korean. |
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| [2021-09-30-preview](../whats-new.md#september-2021) | Preview model adds print text support for Russian and other Cyrillic languages. For handwritten text, adds support for Chinese Simplified, French, German, Italian, Portuguese, and Spanish. |
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| 2021-04-12 | 2021 GA model |
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articles/ai-services/computer-vision/includes/image-analysis-studio-quickstart.md

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## Analyze an image
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1. Select the **Analyze images** tab, and select panel titled **Extract common tags from images**.
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1. To use the try-it-out experience, you will need to choose a resource and acknowledge it will incur usage according to your [pricing tier](https://azure.microsoft.com/pricing/details/cognitive-services/computer-vision/).
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1. To use the try-it-out experience, you need to choose a resource and acknowledge that it will incur usage according to your [pricing tier](https://azure.microsoft.com/pricing/details/cognitive-services/computer-vision/).
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1. Select an image from the available set, or upload your own.
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1. After you select your image, you'll see the detected tags appear in the output window along with their confidence scores. You can also select the **JSON** tab to see the JSON output that the API call returns.
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1. Below the try-it-out experience are next steps to start using this capability in your own application.
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## Next steps
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In this quickstart, you used Vision Studio to do a basic image analysis task. Next, learn more about the Analyze API features.
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In this quickstart, you used Vision Studio to do a basic image analysis task. Next, learn more about the Analyze Image API features.
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> [!div class="nextstepaction"]
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> [Call the Analyze 4.0 API](../how-to/call-analyze-image-40.md)

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