By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. The base64_encoded data takes 33% more space then original data. 2. Transformer 220/380/440 V 24 V explanation. This article describes the formula syntax and usage of the BASE By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. How does taking the difference between commitments verifies that the messages are correct? How do I encode and decode a base64 string? If you used 'Add Picture' control to upload the image, please modify the Collect code as follows. Where will this end? In C, why limit || and && to evaluate to booleans? Stack Overflow for Teams is moving to its own domain! Search Options. The ENCODEURL function may appear in Excel for Mac's function gallery, but it relies on Windows operating . Decode Base64 text to string. Call Main.EncodeFileBase64 (FileName) End Sub Function EncodeFileBase64 (FileName As String) As String Dim arrData () As Byte Dim fileNum As Integer fileNum = FreeFile Open FileName For Binary As fileNum ReDim arrData (LOF (fileNum) - 1) Get fileNum, , arrData Close fileNum Dim objXML As MSXML2.DOMDocument Dim objNode As MSXML2.IXMLDOMElement AA). Best way to get consistent results when baking a purposely underbaked mud cake. How to convert Excel to Base64 1 Open free Excel website and choose Convert application. Why can we add/substract/cross out chemical equations for Hess law? Excel example to base-64 encode and decode a string. rev2022.11.4.43007. Connect and share knowledge within a single location that is structured and easy to search. How to iterate over rows in a DataFrame in Pandas. I'm looking for a simple format cell function such as =Hex2b64(Hexstring) that will accept any length of hex characters. Do any Trinitarian denominations teach from John 1 with, 'In the beginning was Jesus'? How to convert Base64 to Excel. Do you mean you want to convert the image binary to base64 format, right? Number Required. Base64 The term Base64 is coming from a certain MIME content transfer encoding. Are there small citation mistakes in published papers and how serious are they? rev2022.11.4.43007. Hmm, looks like we don't have any results for this search term. Should we burninate the [variations] tag? Why are only 2 out of the 3 boosters on Falcon Heavy reused? The encoder adds one or two padding characters ( =) at the end of the output as needed in order to meet this requirement. How to generate a horizontal histogram with words? The result of the function is displayed in cell B1. Use Base64 Encoder to issue a base 64 encoded string for a selected string field. A new collection based on image collection with a new column storing Base64 format image. use the file upload form a little further down on this page. In programming languages, Base64 encoding represents binary data in ASCII string format by translating data into Radix 64 representation. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Converts a number into a text representation with the given radix (base). What percentage of page does/should a text occupy inkwise. Must be an integer greater than or equal to 0. Is cycling an aerobic or anaerobic exercise? Why does the sentence uses a question form, but it is put a period in the end. Hello Gurus, I am invoking a web service in Excel & the response text sent back is base64 encoded. Why don't we know exactly where the Chinese rocket will fall? Copy the example data in the following table, and paste it in cell A1 of a new Excel worksheet. What is a good way to make an abstract board game truly alien? Basically, Base64 is a collection of related encoding designs which represent the binary information in ASCII format by converting it into a base64 representation. The "Base64 Encode Online" tool is a free encoder that converts to Base64 any text, local files, or remote files (URL). This converts each character into its unicode value, then converts it into base2, which is binary, and pads it to 8 bits in length (a byte) =JOIN ("",ARRAYFORMULA (.)) Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, Yes, base64 requires a binary object, and an Excel file is a binary object. To encode an Excel file to base64, try this. Collect(imgCol;({Name:"Skademelding.jpeg"; Image:UploadedImage1.Image; timeStamp: Now()})). How can we create psychedelic experiences for healthy people without drugs? Basically the steps are to create a Flow that will accept a Data URI as a parameter, and convert it to Base64 like this: base64 (decodeDataUri (triggerBody () ['convertpicture_Inputs'])) and in your Canvas app, call the Flow and pass the content as a url encoded parameter - here is an example of taking a photo from a collection and passing it . Does squeezing out liquid from shredded potatoes significantly reduce cook time? Why does the sentence uses a question form, but it is put a period in the end? How do I merge two dictionaries in a single expression? My application currently generates the excel file by using the pandas to_excel() method. Usually UTF-8 or UTF-16 will do. Should we burninate the [variations] tag? To encode an Excel file to base64, try this import base64 data = open (excel_path, 'rb').read () base64_encoded = base64.b64encode (data).decode ('UTF-8') Share Improve this answer Follow answered Sep 19, 2019 at 11:24 Samkit Jain 1,073 1 17 26 Add a comment Your Answer Post Your Answer Base 64 encoding is used when we want to transfer data over media or network in ASCII string format so that data remain intact on transport. Is there a way to make trades similar/identical to a university endowment manager to copy them? You could re-jig the above to suit your parsing data to your Flow, etc. Stack Overflow for Teams is moving to its own domain! function hex2base64 (byval shex) static onode as object dim a () as byte if len (shex) mod 2 <> 0 then shex = left (shex, len (shex) - 1) & "0" & right (shex, 1) end if if onode is nothing then set onode = createobject ("msxml2.domdocument").createelement ("node") end if with onode .text = "" .datatype = "bin.hex" .text = shex a = I did try the solution provided in that question but it did not work because the final return was a string. decodeToExcelFile.png 31 KB groovyCode.png 28 KB Ok, I have tried the groovy code and I get an excel file with the result of this line in the groovy code here: def decoded = response2.decodeBase64 () please see the attached screenshot of the excel file What can I do if my pomade tin is 0.1 oz over the TSA limit? The easiest method is JSON() function that includes Binary Data, Only want the base64 value :Example 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**bleep**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. 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