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articles/ai-services/content-understanding/quickstart/use-rest-api.md

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@@ -39,37 +39,40 @@ To get started, you need **An Active Azure Subscription**. If you don't have an
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Analyzers define how your content will be processed and the insights that will be extracted. We offer [pre-built analyzers](link to pre-built analyzer page) for common use cases. You can [customize pre-built analyzers](link to learn how to customize analyzers) to better fit your specific needs and use cases.
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This quickstart uses pre-built document, image, audio, and video analyzers to help you get started.
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Before running the cURL command, make the following changes to the HTTP request:
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### Send File for Analysis
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#### POST Request
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```bash
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curl -i -X POST "{endpoint}/analyzers/{analyzerId}:analyze?api-version=2025-05-01-preview" \
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-H "Ocp-Apim-Subscription-Key: {key}" \
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-H "Content-Type: application/json" \
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-d "{\"url\":\"{fileUrl}\"}"
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```
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Before running the cURL command, make the following changes to the HTTP request:
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# [Document](#tab/document)
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1. Replace `{endpoint}` and `{key}` with the corresponding values from your Azure AI Services instance in the Azure portal.
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2. Replace `{analyzerId}` with `prebuilt-documentAnalyzer`.
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2. Replace `{analyzerId}` with `prebuilt-documentAnalyzer`. This analyzer extracts text and layout elements such as paragraphs, sections, and tables from a document..
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3. Replace `{fileUrl}` with a publicly accessible URL of the file to analyze—such as a path to an Azure Storage Blob with a shared access signature (SAS), or use the sample URL: `https://github.com/Azure-Samples/azure-ai-content-understanding-python/raw/refs/heads/main/data/invoice.pdf`.
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# [Image](#tab/image)
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1. Replace `{endpoint}` and `{key}` with the corresponding values from your Azure AI Services instance in the Azure portal.
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2. Replace `{analyzerId}` with `prebuilt-imageAnalyzer`.
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2. Replace `{analyzerId}` with `prebuilt-imageAnalyzer`. This analyzer generates a description of the image.
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3. Replace `{fileUrl}` with a publicly accessible URL of the file to analyze—such as a path to an Azure Storage Blob with a shared access signature (SAS), or use the sample URL: `https://github.com/Azure-Samples/azure-ai-content-understanding-python/raw/refs/heads/main/data/pieChart.jpg`.
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# [Audio](#tab/audio)
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1. Replace `{endpoint}` and `{key}` with the corresponding values from your Azure AI Services instance in the Azure portal.
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2. Replace `{analyzerId}` with `prebuilt-audioAnalyzer`.
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2. Replace `{analyzerId}` with `prebuilt-audioAnalyzer`. This analyzer extracts the audio transcript, generates a summary, and performs speaker labeling.
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3. Replace `{fileUrl}` with a publicly accessible URL of the file to analyze—such as a path to an Azure Storage Blob with a shared access signature (SAS), or use the sample URL: `https://github.com/Azure-Samples/azure-ai-content-understanding-python/raw/refs/heads/main/data/audio.wav`.
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# [Video](#tab/video)
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1. Replace `{endpoint}` and `{key}` with the corresponding values from your Azure AI Services instance in the Azure portal.
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2. Replace `{analyzerId}` with `prebuilt-videoAnalyzer`.
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2. Replace `{analyzerId}` with `prebuilt-videoAnalyzer`. This analyzer extracts keyframes, transcript, and chapter segments from video.
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3. Replace `{fileUrl}` with a publicly accessible URL of the file to analyze—such as a path to an Azure Storage Blob with a shared access signature (SAS), or use the sample URL: `https://github.com/Azure-Samples/azure-ai-content-understanding-python/raw/refs/heads/main/data/FlightSimulator.mp4`.
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