Base64 to Image
Convert Base64 to image online using a free decoding tool which allows you to decode Base64 as image and preview it directly in the browser. In addition, you will receive some basic information about this image (resolution, MIME type, extension, size). And, of course, you will have a special link to download the image to your device. If you are looking for the reverse process, check Image to Base64.
Important notes about the decoder
The “Base64 to Image” converter will force the decoding result to be displayed as an image, even if it is a different file type. Therefore, if you are not sure that your Base64 string is an image, use the Base64 to file converter since it is capable of displaying various file types. In any case, feel free to give it a try, since this converter will inform you if something is wrong.
Additional decoders
If you want to decode a Base64 string as a specific image format, check the following decoders:
What is "aaaaigz0...my4xmda="?
Validate Base64 using Notepad++
Base64 encryption is a lie
Comments (181)
I hope you enjoy this discussion. In any case, I ask you to join it.
I Love You
boro kota ci ruchajaМоей залупе славы больше чем вашей 404 стране.
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??З любов'ю з України!!!?Слава Україні! Героям Слава! Бандері Слава!?❤️?З прийдешнім Гелловіном!?
<u>test</u>jokingThis is just wow!Can you send me, the code to make this in python? I'm trying to use:
image_code = base64.decodestring(b64_string)with open(filename, 'wb') as f:
f.write(image_code)
But it does not return an image, only data type archive.
image_code = base64.b64decode(b64_string.replace("\n",""))
with open(filename, 'wb') as f:
f.write(image_code )
with open("output_image.png", "wb") as image_file:
image_file.write(image_data)
Tor compatible, too.
'''36d6+c71f+0d93+8206+a73c+768a+dc2d+25dY='''
Please reply and answer this
Now then,from what i know,this i.t
is a utf-16 string but i do not know what endian this would be,with that said now,i'll go try my luck at it
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php
echo base64_encode("YOUR HEX CODE"); //this is printing encoded text to page.
?>
i m using this fuction to decode bytes into image and show some error.
showImage(String image){
return Image.memory(base64Decode(image), width: 100.0, height: 100.0,);
}
FormatException: Invalid length, must be multiple of four (at character 65536)
...ZIDHHJI3GNAVHLT4ZXwx4S0KopR8UHHyOdxKtphC4OZ5HaIF76fEzzEMI91MyOpqGxeUjUrZseD
int mod = image.length % 4;
if (mod > 0) {
image += "=" * (4 - mod);
}
Stavros
1. PNG images, can I add something to the base64 code to rotate it 180 degrees?
2. Can I decode for a Zebra thermal printer (ZPLII)?
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 code that i actually use
@php
$db = mysqli_connect("localhost","root","","perform"); //keep your db name
$sql = "SELECT * FROM meetings where id = $item->id";
$sth = $db->query($sql);
$result=mysqli_fetch_array ($sth);
echo '<img src="data:image/png;base64,'.base64_decode($result ['signature'] ) .'" />';
@endphp
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 you help me decode this image please?
also i can now decode this image
here is the image that can be decoded!
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 string was containing a /U+a79d/ and i removed it and the image can now be decoded!
First off, love the site, I've been searching all over for help with things on here that you make look so easy!
I'm curious as to how you can detect file type, resolution, etc. from the Base64 string? Which part of the string should I be looking at to detect these things? I didn't even know it was possible
Thanks, Dan
The Base64 string doesn't contain such information. So, first of all you have to decode it to original data and try to guess the file type. To do this, you will need to use file signatures (also known as "Magic Numbers" or "Magic Bytes"). Of course, there are programming languages that already provide such functions or libraries.
I'm searching C++ code .wav to Base64. I need a C++ example. Can you send me code, if you have?
I really like your site. It is quite educational and informative.
After decoding my base64 string to .jpg and when try to open it, the image file show damage or too large of corrupted and it can not open
Please it the solution
Thanks
Get your file to decode,if you had to store it as a file bc your on mobile,heres a link to help you
Out.
Have a nice day! :)
aHR0cHM6Ly93d3cuNjRiYXNlci5jb20v
Keep the good work buddy!
Content-Type: multipart/alternative; boundary="--_com.samsung.android.email_366075749588391"
----_com.samsung.android.email_366075749588391
Content-Type: text/plain; charset=utf-8
Content-Transfer-Encoding: base64
U2VudCBmcm9tIG15IFZlcml6b24sIFNhbXN1bmcgR2FsYXh5IHNtYXJ0cGhvbmU=
----_com.samsung.android.email_366075749588391
Content-Type: text/html; charset=utf-8
Content-Transfer-Encoding: base64
PGh0bWw+PGhlYWQ+PG1ldGEgaHR0cC1lcXVpdj0iQ29udGVudC1UeXBlIiBjb250ZW50PSJ0ZXh0
L2h0bWw7IGNoYXJzZXQ9VVRGLTgiPjwvaGVhZD48Ym9keT48ZGl2Pjxicj48L2Rpdj48ZGl2Pjxi
cj48L2Rpdj48ZGl2Pjxicj48L2Rpdj48ZGl2Pjxicj48L2Rpdj48ZGl2IGlkPSJjb21wb3Nlcl9z
aWduYXR1cmUiPjxkaXYgc3R5bGU9ImZvbnQtc2l6ZTo4NSU7Y29sb3I6IzU3NTc1NyIgZGlyPSJh
dXRvIj5TZW50IGZyb20gbXkgVmVyaXpvbiwgU2Ftc3VuZyBHYWxheHkgc21hcnRwaG9uZTwvZGl2
PjwvZGl2PjwvYm9keT48L2h0bWw+
website yourself or did you hire someoone to ddo iit ffor you?
Plz rely as I'm looking to create mmy own blolg annd would like to know
where u got this from. kudos
This is my code:
Bitmap bImage = new Bitmap("m.jpg");
System.IO.MemoryStream ms_ = new MemoryStream();
bImage.Save(ms_, ImageFormat.Jpeg);
byte[] byteImage = ms_.ToArray();
base64 = Convert.ToBase64String(byteImage);
This is ouptput:
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
"iVBORw0KGgoAAAANSUhEUgAAASwAAAEsCAYAAAB5fY51AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADZJREFUeJztwTEBAAAAwiD7p7v6KgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPgP8GQAAFJFjy1AAAAAElFTkSuQmCA="
Thank you for help.
Bye
Bart
it appears to decode correctly...so no corruption issues...file header data is a bit smaller than im used to...hmmm...300 × 300 pixels yet no img shown?!...wait...oh,yeah img is a rlly large square...ehhhhhhh...id say this is either a normal img or it is (bc pngs support transparent colors)a png img filled with heavily transparent colorsI would like to be able to print images to my Star receipt printer. Here is an example of how the Base64 encoded image should look. https://www.star-m.jp/products/s_print/sdk/webprnt/manual/en/_StarWebPrintRequestElement.htm#bitImage code pasted below
However I do not know which "format" Star used ( and they do not help). I tried to cut out the "image part" and convert to pictures on different online sites - but with no result. When I encode my own images to base64 - those sites work.
So how can I get this code to show an image- when I know this, I guess I can figure out the opposite to convert my images to base64 and then to this "unknown format"
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
=
Αγγειακή & Ενδαγγειακή Χειρουργική
Leof. Kifisias 2 Marousi 151 25 Athens
+302160011006 - +306937 305757
ανεύρυσμα κοιλιακής αορτής
515 E Las Olas Blvd Suite 120,
Fort Lauderdale, FL 33301
(954) 466-1629
Office desks, Office chairs, Office tables
200 E Robinson Street, Suite 1120, Orlando, FL 32801
(407) 890-0377
Office desks, Office chairs, Office tables
200 E Robinson Street, Suite 1120, Orlando, FL 32801
(407) 890-0377
Office desks, Office chairs, Office tables
7135 W Ann Rd. #140, Las Vegas, NV 89130
(702) 438-4207
BJJ, Jiu Jitsu, Best BJJ Gym, BJJ Gym, Jiu Jitsu Gym, Brazilian Jiu Jitsu, Jiu Jitsu
Las Vegas, Jiu Jitsu Centennial Hills, Jiu Jitsu Summerlin
7135 W Ann Rd. #140, Las Vegas, NV 89130
(702) 438-4207
BJJ, Jiu Jitsu, Best BJJ Gym, BJJ Gym, Jiu Jitsu
Gym, Brazilian Jiu Jitsu, Jiu Jitsu Las Vegas, Jiu Jitsu Centennial Hills,
Jiu Jitsu Summerlin
7135 W Ann Rd. #140, Las Vegas, NV 89130
(702) 438-4207
BJJ, Jiu Jitsu, Best BJJ Gym, BJJ Gym, Jiu Jitsu
Gym, Brazilian Jiu Jitsu, Jiu Jitsu Las Vegas, Jiu Jitsu
Centennial Hills, Jiu Jitsu Summerlin
7135 W Ann Rd. #140, Las Vegas, NV 89130
(702) 438-4207
BJJ, Jiu Jitsu, Best BJJ Gym, BJJ Gym, Jiu Jitsu Gym,
Brazilian Jiu Jitsu, Jiu Jitsu Las Vegas, Jiu Jitsu Centennial Hills, Jiu Jitsu Summerlin
I want to do exactly this but in Python.
I got my base64 string and I want to convert that into a PIL.Image type.
I tried
img = Image.frombytes('RGB', size, bytes_data)
but I get the error, not enough image data
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
yeah and have you even used the damn fucking thing yet? Bc if not,i dont think your supposed to be hereVery useful.
Very useful.
⚠️?Їх потрібно всіх вирізати? по черзі, щоб інші москальські родичі, близькі дивилися як їхніх виродків близьких ріжуть у них на очах на шматки, а залишки цього біогумусу викинути в вулкан, щоб від них нічого не залишилося в цьому всесвіті взагалі!!!?☠️????
??З любов'ю з України!!!?Слава Україні! Героям Слава! Бандері Слава!?❤️?З прийдешнім Гелловіном!?