Azure Cloud Vision
Get started
Step 1: Create an Azure Account
Visit the Azure Cloud
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:
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: https://vntranslator.cognitiveservices.azure.com/vision/v3.2/ocr?language=ja&model=2022-04-30
Request parameters
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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