How to OCR high number of images using Azure Vision without programming?

Do you have a large number of images that you need to extract text from? With Azure Vision, you can easily OCR (Optical Character Recognition) these images without any programming knowledge. In this article, we will guide you through the process of using Azure Vision to OCR a high number of images.

Step 1: Set up an Azure account

Before we begin, you will need an Azure account. If you don't have one, you can sign up for a free trial at https://azure.microsoft.com/free. Once you have your account set up, you can proceed to the next step.

Step 2: Create an Azure Cognitive Services resource

Next, you need to create an Azure Cognitive Services resource. Follow these steps:

1. Go to the Azure portal (https://portal.azure.com) and sign in with your Azure account.
2. Click on "Create a resource" and search for "Cognitive Services".
3. Select "Cognitive Services" from the search results and click on "Create".
4. Fill in the required information, such as the name and location for your resource.
5. Choose the pricing tier that suits your needs and click on "Review + create".
6. Review the information and click on "Create" to create your Azure Cognitive Services resource.

Step 3: Access the Azure Vision service

Once your Azure Cognitive Services resource is created, you can access the Azure Vision service. Follow these steps:

1. Go to the Azure portal (https://portal.azure.com) and sign in with your Azure account.
2. Find your Azure Cognitive Services resource and click on it.
3. In the left-hand menu, under "Resource Management", click on "Keys and Endpoint".
4. Copy the "Key1" value, as we will need it in the next step.

Step 4: Use Azure Vision to OCR images

Now that you have your Azure Cognitive Services resource set up and the key copied, you can start using Azure Vision to OCR your images. Follow these steps:

1. Go to the Azure portal (https://portal.azure.com) and sign in with your Azure account.
2. Find your Azure Cognitive Services resource and click on it.
3. In the left-hand menu, under "Resource Management", click on "Keys and Endpoint".
4. Copy the "Endpoint" value, as we will need it in the next step.
5. Now, you can use the Azure Vision API to OCR your images. There are several ways to do this, such as using the Azure CLI or the Azure SDKs for different programming languages. However, since we want to avoid programming, we will use the Azure portal's built-in functionality.
6. In the Azure portal, navigate to your Azure Cognitive Services resource and click on "Quick start" in the left-hand menu.
7. Scroll down to the "OCR" section and click on "Quick test".
8. Upload your images by clicking on "Browse" and selecting the images you want to OCR.
9. Click on "Analyze" to start the OCR process.
10. Wait for the process to complete. Once it's done, you will see the extracted text from your images.

That's it! You have successfully OCR'd a high number of images using Azure Vision without any programming. Now you can easily extract text from your images for further analysis or processing.

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