> For the complete documentation index, see [llms.txt](https://docs.vntranslator.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.vntranslator.com/user-guide/ocr/ocr-engines/azure-cloud-vision.md).
# Azure Cloud Vision
## Get started
### **Step 1: Create an Azure Account**
* Visit the [Azure Cloud](https://azure.microsoft.com/free/)
* Click **Try Azure for free**
* Follow the instructions to create account:
* Provide basic details like your email address and billing information
* New users receive **$200 in free credit** for the first 30 days.
* After signing up, you will be redirected to the Azure Portal
### **Step 2: Create a** Computer Vision **Resource**
* In the [Azure Portal](https://portal.azure.com/):
* Click **Create a resource** in the left-hand menu
* Search for **Computer Vision** in the search bar
* Select **Computer Vision** and click **Create**
* Fill in the required details:
* **Subscription**: Choose your Azure subscription
* **Resource Group**: Create a new one or use an existing group
* **Region**: Choose the region closest to your location
* **Name**: Give your resource a unique name
* **Pricing Tier**: Select **Free** or another available tier based on your needs
* Click **Review + Create**, then **Create**
### **Step 3: Your API Key and Endpoint**
* Navigate to your **Computer Vision** resource in the Azure Portal
* Click **Keys and Endpoint** from the left-hand menu
* Copy the **API Key** and **Endpoint** for use in VNTranslator
### **Step 5: Integrate with VNTranslator**
* Go to **Settings -> Modules -> OCR**
* Paste the **API Key 1 or API Key 2** from Step 3 into the **Azure API Key** field
* Configure the **Azure Request URL** as follows:
* URL Format: \
https\://{endpoint}/vision/v3.2/ocr\[?language]\[\&detectOrientation]\[\&model-version]
* Replace **{endpoint}** with your Computer Vision Resource Endpoint. For example:\
### Request parameters
```
https://{endpoint}/vision/v3.2/ocr[?language][&detectOrientation][&model-version]
```
* **language (optional)**\
The BCP-47 language code of the text to be detected in the image.The default value is "unk", then the service will auto detect the language of the text in the image.
* **detectOrientation (optional)**\
Whether detect the text orientation in the image. With detectOrientation=true the OCR service tries to detect the image orientation and correct it before further processing (e.g. if it's upside-down).
* **model-version (optional)** \
Optional parameter to specify the version of the AI model. The default value is "latest".
---
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