Azure Ocr

What is Azure Ocr ?

Azure OCR is a cloud-based Optical Character Recognition service offered by Microsoft Azure. It is part of the Azure Computer Vision API, designed to extract text from images and documents with high accuracy. This service supports various file formats, including PDF, JPG, PNG, and BMP, making it versatile for different use cases.

Features

• Text Extraction: Extract text from scanned documents, images, and mixed-content layouts.
• Multi-Language Support: Recognize and extract text in multiple languages.
• Handwritten Text Recognition: Supports recognition of handwritten text in select languages.
• Layout Preservation: Maintains the spatial layout of text in the original document.
• Integration: Easily integrates with other Azure services for workflows.
• Custom Models: Allows training custom models for specific document types.

How to use Azure Ocr ?

1. Create a Computer Vision Resource:

   • Go to the Azure portal and create a Computer Vision resource.
   • Note the API Key and Endpoint for authentication.

2. Use the Read API:

   • Send a POST request to the Read endpoint with the document URL or inline data.
   • Specify the language and other optional parameters.

3. Process the Request:

   • The API processes the request asynchronously.
   • Poll the Get Read Result endpoint until the result is available.

4. Handle the Response:

   • The response includes extracted text, text coordinates, and confidence scores.
   • Use the extracted data in your application or workflow.

Frequently Asked Questions

1. What file formats are supported by Azure OCR?
Azure OCR supports PDF, JPG, PNG, BMP, and other common image formats.

2. Does Azure OCR support handwritten text?
Yes, Azure OCR supports handwritten text recognition, albeit with limitations depending on the language and quality of the handwriting.

3. Is there a free tier available for Azure OCR?
Yes, Azure offers a free tier for Computer Vision with 5,000 transactions per month, suitable for development and testing purposes.