Python pil image to base64

Convert image to base64 using python PIL

Here’s a short but complete demo of your code using a ByteIO instead of StringIO. I’ve also added a function to do the reverse conversion. It runs correctly on Python 2.6 and 3.6. The only difference is that in Python 3 the Base64 output is a b string.

from PIL import Image from io import BytesIO import base64 # Convert Image to Base64 def im_2_b64(image): buff = BytesIO() image.save(buff, format="JPEG") img_str = base64.b64encode(buff.getvalue()) return img_str # Convert Base64 to Image def b64_2_img(data): buff = BytesIO(base64.b64decode(data)) return Image.open(buff) # Test img = Image.new('RGB', (120, 90), 'red') img.show() img_b64 = im_2_b64(img) print(img_b64) new_img = b64_2_img(img_b64) new_img.show() 

Python 3 output

b'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' 

PM 2Ring 52918

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Conversion between base64 and OpenCV or PIL Image

When we are building web services using Python, we often send or receive images in base64 encoded format. However, when we are doing image processing tasks, we need to use PIL or OpenCV. In this post, I will share how to convert between OpenCV or PIL image and base64 encoded image.

base64 to PIL or OpenCV image

base64 to PIL Image

In the above code, since Image.open() only accepts image path or file-like object, we first convert the base64 encoded image to BytesIO object and then read the image using PIL.

base64 to OpenCV Image

 In the above code, we first convert binary image to Numpy array, then decode the array with cv2.imdecode() . The final img is an OpenCV image in Numpy ndarray format.

PIL or OpenCV image to base64

PIL Image to base64

 In the above code, instead of saving the PIL Image object img to the disk, we save it to im_file which is a file-like object. Note that in this case, we need to specify the image format in img.save() .

OpenCV to base64 image

 In the above code, we first save the image in Numpy ndarray format to im_arr which is a one-dim Numpy array. We then get the image in binary format by using the tobytes() method of this array.

References

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Python pil image to base64

Last updated: Jun 23, 2023
Reading time · 4 min

# Table of Contents

# Convert an Image to a Base64-encoded String in Python

To convert an image to a base64 string in Python:

1. Use the with open() statement to open the image file.
2. Use the file.read() method to read the image’s contents.
3. Use the base64.b64encode() method to encode the bytes using Base64 and return a bytes-like object.

Copied! 
import base64 with open('house.webp', 'rb') as image_file: base64_bytes = base64.b64encode(image_file.read()) print(base64_bytes) base64_string = base64_bytes.decode() print(base64_string) 

The code sample assumes that you have the following house.webp image in the same directory as your Python script.

You can right-click on the image and select «Save image as» to download it.

We first imported the base64 native Python module.

The module provides functions for encoding binary data to printable ASCII characters and decoding such encodings back to binary data.

The next step is to use the with open() statement to open the image file in rb (read binary) mode.

The with open() statement takes care of closing the file even if an error occurs.

Copied! 
import base64 with open('house.webp', 'rb') as image_file: base64_bytes = base64.b64encode(image_file.read()) print(base64_bytes) base64_string = base64_bytes.decode() print(base64_string) 

The base64.b64encode method encodes the supplied bytes-like object using Base64 and returns the encoded bytes.

If you want to convert the base64 encoded bytes to a string, use the bytes.decode method.

Copied! 
base64_string = base64_bytes.decode() print(base64_string) 

The bytes.decode() method converts the bytes object to a string and removes the b prefix.

You can also pass the encoding as an argument to the decode() method.

The default encoding is utf-8 .

Copied! 
base64_string = base64_bytes.decode('utf-8') print(base64_string) 

The first argument we passed to the open() function is the path to the image file.

If you are on Windows, prefix the path with r to mark it as a raw string.

Copied! 
image_path = r'C:\Users\Alice\Desktop\my-image.png' 

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