Encoding an Image File with Base64

Encoding an image file with base64

I'm not sure I understand your question. I assume you are doing something along the lines of:

import base64

with open("yourfile.ext", "rb") as image_file:
    encoded_string = base64.b64encode(image_file.read())

You have to open the file first of course, and read its contents - you cannot simply pass the path to the encode function.

Edit:
Ok, here is an update after you have edited your original question.

First of all, remember to use raw strings (prefix the string with 'r') when using path delimiters on Windows, to prevent accidentally hitting an escape character. Second, PIL's Image.open either accepts a filename, or a file-like (that is, the object has to provide read, seek and tell methods).

That being said, you can use cStringIO to create such an object from a memory buffer:

import cStringIO
import PIL.Image

# assume data contains your decoded image
file_like = cStringIO.StringIO(data)

img = PIL.Image.open(file_like)
img.show()

What is the effect of encoding an image in base64?

It will be approximately 37% larger:

Very roughly, the final size of Base64-encoded binary data is equal to 1.37 times the original data size

Source: http://en.wikipedia.org/wiki/Base64

Base 64 encode vs loading an image file

Well I don't agree with anyone of you. There are cases when you've to load more and more images. Not all the pages contain 3 images at all. Actually I'm working on a site where you've to load more than 200 images. What happens when 100000 users request that 200 images on a very loaded site. The disks of the server, returning the images should collapse. Even worse you've to make so much request to the server instead of one with base64. For so much thumbnails I'd prefer the base64 representation, pre-saved in the database. I found the solution and a strong argumentation at http://www.stoimen.com/2009/04/23/when-you-should-use-base64-for-images/. The guy is really in that case and made some tests. I was impressed and make my tests as well. The reality is like it says. For so much images loaded in one page the one response from the server is really helpful.

Decoding and saving image files from base64 C++

When you open outfile in base64_decode_image, you do not specify the ofstream::binary flag like you do in base64_encode_image when reading the image. Without that flag, you're writing in text mode which can alter the data you're writing (when adjusting for newlines).

Encode image file to base64

You have given file pointer but should give binary data.

You should write as following :

import base64
with open(full_path, 'rb') as imgFile:
    image = base64.b64encode(imgFile.read())

How to convert an image to Base64 encoding

I think that it should be:

$path = 'myfolder/myimage.png';
$type = pathinfo($path, PATHINFO_EXTENSION);
$data = file_get_contents($path);
$base64 = 'data:image/' . $type . ';base64,' . base64_encode($data);

Base64 image string into image file using PHP

I figure it out the solution.

        $pathwithfile = 'your file path with image name';//e.g '/uploads/test.jpg'
         $ifp = fopen( $pathwithfile, 'wb' ); 
       // split the string on commas       // $data[ 0 ] == "data:image/png;base64"       // $data[ 1 ] == <actual base64 string>       $data = explode( ',', $imagedata );       $success = fwrite( $ifp, base64_decode( $data[ 1 ] ) );       // clean up the file resource       fclose( $ifp );                    

File format not supported but when decoding it with base64 it works fine

.readAsDataURL() converts the file it reads into Base64, so it can be represented as a URL you can put into a browser. A very long URL, but still a URL.

If you store a Base 64 representation of an image into a file on your machine, then try to read it with an image-display program, the operation will fail: "This doesn't look like a .jpg, .png, or .gif" so I don't know what to do with it." That's what your Windows file manager error message means.

If you want the file's contents raw rather than Base64 encoded, you'll need to use .readAsArrayBuffer().

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