Image Download From Azure Blob Storage using Python

Azure Blob Storage is a powerful and scalable cloud object storage solution provided by Microsoft Azure. It's commonly used to store unstructured data like images, videos, documents, and backups. In this article, you'll learn how to download an image file from Azure Blob Storage using Python.

Image Download From Azure Blobe Storage using Python

Getting Started

Azure Blob Storage is a powerful cloud-based solution from Microsoft Azure that allows you to store large amounts of unstructured data like text, images, and videos. In many real-world applications, you may need to download images from Azure Blob Storage for processing, backup, or analysis.

With just a few lines of Python code, you can automate the process of downloading images from Azure Blob Storage.

Prerequisites

Before you begin, make sure you have:
  1. An Azure Storage Account with Blob Storage enabled.
  2. A container that holds your image blob.
  3. Installed the Azure Storage Blob SDK for Python.

Image Download From Azure Blob Storage

Below two python code examples defines single image download and multple image download from Azure Blob Storage

Single Image Download

The below code example defines how to download a single image from blob store with image name

Image Downlaod Code
 from azure.storage.blob import BlobServiceClient  
 # Configuration  
 connection_string = "YOUR_AZURE_STORAGE_CONNECTION_STRING"  
 container_name = "your-container-name"  
 blob_name = "image-name.jpg"  
 download_file_path = "downloaded-image.jpg"  
 # Connect to the service  
 blob_service_client = BlobServiceClient.from_connection_string(connection_string)  
 blob_client = blob_service_client.get_blob_client(container=container_name, blob=blob_name)  
 # Download the blob  
 with open(download_file_path, "wb") as file:  
   download_stream = blob_client.download_blob()  
   file.write(download_stream.readall())  

The above python code devided in to three blocks. The first block is the configuration where connection string , container name and the image file name have to define.

You’ll need the connection string from your Azure Storage account. You can find it in the Azure portal under:
Storage Account > Access Keys > Connection string

The second block connect to service is creating object of BlobClient which allows you to interact with individual blobs in a container.

The rest python code uses the download_blob() method to download the image content and write it to a local file.

Multple Image Download

This code example downloads all available images from a container

Image Download code
 from azure.storage.blob import BlobServiceClient  
 import os  
 # Define your connection string and container name  
 connection_string = "<your_connection_string>"  
 container_name = "<your_container_name>"  
 # Directory where the images will be downloaded  
 download_folder = "downloaded_images"  
 os.makedirs(download_folder, exist_ok=True)  
 # Create the BlobServiceClient  
 blob_service_client = BlobServiceClient.from_connection_string(connection_string)  
 container_client = blob_service_client.get_container_client(container_name)  
 # List and download blobs  
 print("Downloading images from Azure Blob Storage...")  
 for blob in container_client.list_blobs():  
   blob_name = blob.name  
   if blob_name.lower().endswith(('.png', '.jpg', '.jpeg', '.gif', '.bmp')):  
     download_file_path = os.path.join(download_folder, os.path.basename(blob_name))  
     with open(download_file_path, "wb") as f:  
       blob_data = container_client.download_blob(blob_name)  
       f.write(blob_data.readall())  
     print(f"Downloaded: {blob_name}")  
 print("✅ All images downloaded successfully.")  

Summary

Downloading images or any blobs from Azure Blob Storage using Python is straightforward with the Azure SDK. This method is especially useful for building image processing pipelines, integrating with ML models, or simply backing up your assets.

Thanks

Kailash Chandra Behera

An IT professional with over 13 years of experience in the full software development life cycle for Windows, services, and web-based applications using Microsoft .NET technologies. Demonstrated expertise in delivering all phases of project development—from initiation to closure—while aligning with business objectives to drive process improvements, competitive advantage, and measurable bottom-line gains. Proven ability to work independently and manage multiple projects successfully. Committed to the efficient and effective development of projects in fast-paced, deadline-driven environments. Skills: Proficient in designing and developing applications using various Microsoft technologies. Total IT Experience: 13+ years

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