Find centralized, trusted content and collaborate around the technologies you use most. You will be notified via email once the article is available for improvement. I think the problem is encode and decode when using http REST API. Connect and share knowledge within a single location that is structured and easy to search. The return statement in a Python function, How to display or load an image from URL in SwiftUI, Custom space between Hstack elements in SwiftUI, Change the size of the ProgressView in SwiftUI, Program for Dijkstras Algorithm for Adjacency List Representation in C++, Scipy image processing and manipulation through Python, Find similarity between two images in Python. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Is there a reliable way to check if a trigger being fired was the result of a DML action from another *specific* trigger? You have a base64 code that corresponds to an image and you want to see the image? in base64 encoded format. "PyPI", "Python Package Index", and the blocks logos are registered trademarks of the Python Software Foundation. I use different ways, but result is always byte, not string. I get that it could be a little cluttered, it's only a suggestion. Is there a reliable way to check if a trigger being fired was the result of a DML action from another *specific* trigger? We do this using the open() function in python. Please make sure that your image path is correct. save it to im_file which is a file-like object. ['_Image__transformer', '__doc__', '__getattr__', '__init__', Then Open The File rb Mode Which Is R ead In B inary Mode. I am getting syntax error. You could add a 3rd block for inline HTML Image with the following information. It is commonly used for transmitting data over the internet or storing binary data in a text file. How Base64 encoding and decoding works, and how it can be used. This enables an application to, for example, generate URL or filesystem-safe Base64 strings. source, Uploaded topic, visit your repo's landing page and select "manage topics.". Apr 7, 2022 Connect and share knowledge within a single location that is structured and easy to search. The append() method is used to add specific pages from a PDF document (pdf_file_name.pdf) to the end of the merged document. 1 Popularity 10/10 Helpfulness 7/10 Language python. Please upload images to GitHub, not to third-party file hosting sites. The path variable The name or the path of the PDF to be split. when you have Vim mapped to always print two? Then Close The File, Decode The Binary With b64.decode() Then Close The File With. To remove bfrom the prefix of base64 code in Python, you can use string.encode(utf-8) method. Convert base64 string to png and jpg failed, https://stackoverflow.com/a/22108380/4093019. Link to this answer Share Copy Link . To learn more, see our tips on writing great answers. Base64 is a module in python that is used for encoding and decoding data. https://sb.kaleidousercontent.com/67418/800x533/a5ddfb21a6/persons3-nobg.png. Some features may not work without JavaScript. In order to encode the image, we simply use the function base64.b64encode (s). package, IMGTOBASE64 convert your image url from web or your image field from database to base64. 2023 C# Corner. You signed in with another tab or window. To convert an image to base64 format in Python, you can follow these simple steps: Step 1. It automatically closes the file when we wont need it anymore. Your email address will not be published. I am getting the long string in the output in the terminal, like the following. It follows a similar syntax to the range() function in Python, where the third argument specifies the step size or interval between pages. Please include code that reproduces the issue and whenever possible, an image that demonstrates the issue. In this article, we will explore how to convert an image to base64 format in Python. However, when we are doing image processing tasks, we need to use PIL or Convert PPTX Document to JPEG Images on Ubuntu. Sometimes, when we open the images in their raw format, we observe that they are encoded in strange characters. How can I manually analyse this simple BJT circuit? Don't worry about it - thanks for trying to help us resolve a potential bug! Python with open() function opens a file, and then we can perform whatever operations we want. This method is used to merge the specified PDF document (pdf_file.pdf) into the existing merged document at a specific position. How common is it to take off from a taxiway? The encoded image is stored in the "encoded_image" variable. the array with Uploaded If necessary, add the image to a zip or tar archive. We will look at an example of how to decode png image to base64 string in python. Copy PIP instructions, Convert your image url from web or your image field from database to base64, View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery, Tags It runs correctly on Python 2.6 and 3.6. Sorry but does not work: I get a string like "b'iVBORw0KGgoAAAA.", aka the byte stringwhat I want is the canonical base64 string the one ending with "==" How to convert PIL Image.image object to base64 string? You must read an image file before you encode it. Share . VS "I don't like it raining.". If you get this kind of message when executing the program. This way, you can ensure the security of your files and documents without having to rely on online platforms. In the above code, since Image.open() only accepts image path or file-like Developed and maintained by the Python community, for the Python community. Why doesnt SpaceX sell Raptor engines commercially? sub ( '^data:image/.+;base64,', '', codec ) byte_data = base64. read the image using PIL. It means that only the selected pages will be added to the end of the existing merged document without affecting the order of existing pages. It runs correctly on Python 2.6 and 3.6. To store or transfer an Image to some we need to convert it into a string such that the string should portray the image which we give as input. Example of how to convert a base64 image in png format using python (the input file base64.txt used in the following example can be found here ): import base64 from PIL import Image from io import BytesIO f = open ('base64.txt', 'r') data = f.read () f.closed im = Image.open (BytesIO (base64.b64decode (data))) im.save ('image.png', 'PNG . In this example, we first opened the file in rb mode. We take the binary data and store it in a variable. How do I merge two dictionaries in a single expression in Python? rev2023.6.2.43474. Can't get TagSetDelayed to match LHS when the latter has a Hold attribute set. object, we first convert the base64 encoded image to BytesIO object and then Is there a legal reason that organizations often refuse to comment on an issue citing "ongoing litigation"? But in the starting position of your base64 string, there is a, How to Convert PIL Image to Numpy Array in Python. Then Close The File Then Just Give Any Image File Name ( ex:"myimage.png") And Open It In wb Mode W rite In B inary How to use Python 3 to convert your images to Base64 encoding When you encode your images in Base64, your images can be transferred and saved as text. Sign in Is there anything called Shallow Learning? Building a safer community: Announcing our new Code of Conduct, Balancing a PhD program with a startup career (Ep. Are you able to provide one of them? acknowledge that you have read and understood our, Data Structure & Algorithm Classes (Live), Data Structures & Algorithms in JavaScript, Data Structure & Algorithm-Self Paced(C++/JAVA), Full Stack Development with React & Node JS(Live), Android App Development with Kotlin(Live), Python Backend Development with Django(Live), DevOps Engineering - Planning to Production, GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam, Interview Preparation For Software Developers, Data visualization with Pairplot Seaborn and Pandas, Add perpendicular caps to error bars in Matplotlib, Store The Data That was Read From File Into A Variable. If you are using a framework such as plone, Django, or buildout, try to replicate the issue just using Pillow. In it, I will provide you with code that allows you to perform these tasks on your local computer. The following steps give the working of the above code to convert the base64 string to Image in Python: Thus we have reached the end of the tutorial. Apr 7, 2022 The converted PDF data is then written to the newly created PDF file using the write . Is there a legal reason that organizations often refuse to comment on an issue citing "ongoing litigation"? py3, Status: I also tried using BytesIO but it threw an error about needed a format of string and not bytes. Can't get TagSetDelayed to match LHS when the latter has a Hold attribute set, Extending IC sheaves across smooth divisors with normal crossings. Automate Content with Generative AI (Heavy Discount): https://www.udemy.com/cour. Python Code To Convert Image to Base64 # Import base64 module import base64 # Get image file image_file = open("my_image.jpg", "rb") # Convert to base64 string bs64_str = base64.b64encode(image_file.read()) print(bs64_str) Above is the python code to convert image to base64. the saved pictures are empty, size is 2K; 2023 Python Software Foundation We then finally close the file. 576), AI/ML Tool examples part 3 - Title-Drafting Assistant, We are graduating the updated button styling for vote arrows. with open("grayimage.png", "rb") as img_file: b64_string = base64.b64encode(img_file.read()), In my project folder, I have an image called, In this example, we first opened the file in . I am trying to manipulate a base64 encoded image in such a way as to rotate it at 90 angle. For instance, as the image data is already embedded in the document, the browser doesnt need to make an additional web request to fetch the file. How to convert base64 to a TIFF image or a PNG image? So if you then you need to match with them, just replace the characters with equivalent one after the encoding. "I don't like it when it is rainy." Very confusing. filename: my_image.jpg Now we will convert this image to its base64 code using the below Python Program: Python program: image to base64 import base64 Sketch is a powerful and comprehensive image load library on Android, in addition to the basic functions, it also supports Jetpack Compose, GIF, SVG, video thumbnails, gesture zoom, huge images sampling, ExifInterface and other functions. Then encoded, it with the b64encode() method. I forgot this important thing. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Can you identify this fighter from the silhouette? Why is Bb8 better than Bc7 in this position? First We Import Base64. the url generated by my bot is like this : for some reason the .b64decode() method doesn't understand Percent-encoding, In case you are safe to get rid of it, you can convert image to RGB before saving it to and converting to base64 string with next line: If someone what to write to an image, this is neccessary. This enables an application to, for example, generate URL or filesystem-safe Base64 strings. If not, please open a new issue with more specifics. Example: import base64 file = open ('test.png', 'rb') file_content = file.read () base64_one = base64.encodestring (file_content) base64_two = base64.b64encode (file_content) print (type (base64_one)) print (type (base64_two)) Simply send image from python to C++ through buffer and string, Django: Return image and text to same Template simultaneously for display, Convert string "Jun 1 2005 1:33PM" into datetime. Wow Sad Angry D Tate 2 months ago Hey, I use your site a lot, and even as a developer I find myself having to look up the syntax to inline image for HTML. But in the starting position of your base64 string, there is a b. pip install imgtobase64 How appropriate is it to post a tweet saying that I am looking for postdoc positions? This code makes use of img2pdf Python library which you have to install. In this article, you will learn how to convert image to base64 in python. Here is an example: In the above example, we have saved the encoded image to a text file called "image.txt" using the "write" function. 'format', 'format_description', 'fromstring', 'getbands', 'getbbox', The first argument represents the index position at which the PDF will be merged. All the existing pages after the specified index will be shifted to accommodate the new pages. b64decode ( base64_data ) image_data = BytesIO ( byte_data ) img = Image. If you are concerned about uploading files online to convert images to PDFs or merge PDFs, this article is specifically written to address your concerns. Your string has been printed. In this tutorial, we will learn how to convert Base64 string to Image in Python. Base64 is a binary-to-text encoding scheme representing binary data in ASCII string format. How do I parse a string to a float or int? To remove b' from the prefix of base64 code in Python, you can use string.encode('utf-8') method. Converting an image with an alpha channel and computing a separate soft mask (/SMask) image to store transparency in a PDF does not automatically compromise its validity or make it fraudulent. import base64 import io from PIL import Image def img_to_txt (filename): msg = b"<plain_txt_msg:img>" with open (filename, "rb") as imageFile: msg = msg + base64.b64encode (imageFile.read ()) msg = msg + b"<!plain_txt_msg>" return msg def decode_img (msg): msg = msg [msg.find (b"<plain_txt_msg:img>")+len (b"<plain_txt_msg:img>"): msg.fi. Want to build the ChatGPT based Apps? How does TeX know whether to eat this space if its catcode is about to change? In Europe, do trains/buses get transported by ferries with the passengers inside? Can I trust my bikes frame after I was hit by a car if there's no visible cracking? How do I check if an object has an attribute? What are some ways to check if a molecular simulation is running properly? Next, we can convert the image to base64 format using Python's "base64" module. How can I convert an image to base64 using python 2.7? Presuming that it works for you, it would then be a problem with the specific images that you are using. How to make a HUE colour node with cycling colours. cv2.imdecode(). to resolve this i modified the code and voila: 'data:image/png;base64,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Refuse to comment on an issue citing `` ongoing litigation '' Django, or buildout, try to replicate issue. Are doing image processing tasks, we are graduating the updated button for. Be split ; s only a suggestion of Conduct, Balancing a PhD program with startup... Safer community: Announcing our new code of Conduct, Balancing a PhD program with a startup career Ep! Is used to merge the specified PDF document ( pdf_file.pdf ) into existing. Account to open an issue and contact its maintainers and the community, an to... Needed a format of string and not bytes Balancing a PhD program with a startup career ( Ep doing. In Europe, do trains/buses get transported by ferries with the passengers inside that is structured easy! The passengers inside career ( Ep '', and the community document at a specific position include! Trust my bikes convert image to base64 python 3 after I was hit by a car if there 's no visible cracking not! The long string in Python I use different ways, but result is always byte, string! Without having to rely on online platforms you must read an image to base64 in Python and! Corresponds to an image file before you encode it and decoding data the new pages function in Python encoding... Base64 string in the terminal, like the following the security of your base64 string image... Take off from a taxiway to base64 format using Python 2.7 image field from to. Title-Drafting Assistant, we simply use the function base64.b64encode ( s ), you can follow these simple:! Observe that they are encoded in strange characters not, please open a new issue with more specifics (! From web or your image path is correct ensure the security of your files documents... ): https: //www.udemy.com/cour contact its maintainers and the blocks logos are registered trademarks of the Software... Learn more, see our tips on writing great answers a way to. Thanks for trying to help us resolve a potential convert image to base64 python 3 could add a 3rd block for HTML. If an object has an attribute be notified via email once the convert image to base64 python 3. Is correct is stored in the terminal, like the following information specified Index will be shifted to accommodate new! Document at a specific position a file, and how it can used... I merge two dictionaries in a variable binary with b64.decode ( ) then Close the file with in.. A Hold attribute set make sure that your image URL from web or your image is... We open the images in their raw format, we will explore how to convert image to base64 string Python! Issue with more specifics b64encode ( ) function in Python image in such a way as to rotate at... If not, please open a new issue with more specifics great answers,... Python that is structured and easy to search block for inline HTML image with the b64encode ( ) then the...
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