base64 encode excel formula

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 What is a good way to make an abstract board game truly alien? The BASE function syntax has the following arguments. Destination character set. What exactly makes a black hole STAY a black hole? Stack Overflow for Teams is moving to its own domain! Then try this, the Base64 column is what you want, right? How to iterate over rows in a DataFrame in Pandas. rev2022.11.4.43007. I've made the transactional templates in sendgrid and now need to attach excel to the emails that go out. Radix Required. Find centralized, trusted content and collaborate around the technologies you use most. AA). The number that you want to convert. Thanks for contributing an answer to Stack Overflow! Please check the Mid formula which is used for extracting the base64 string. If Number is a non-numeric value, BASE returns the #VALUE! Basically, Base64 is a collection of related encoding designs which represent the binary information in ASCII format by converting it into a base64 representation. Why so many wires in my old light fixture? The base64_encoded data takes 33% more space then original data. So, do I need to read the excel file into a byte-like object before I can encode it? Are there small citation mistakes in published papers and how serious are they? Usually UTF-8 or UTF-16 will do. Encode "excel" | Base64 Base64 Guru Encode "excel" The specified string can be converted to Base64 value. 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 GCC, GCCH, DoD - Federal App Makers (FAM). Is there a trick for softening butter quickly? Is there a package that will do this for me magically? Must be an integer greater than or equal to 0 and less than 2^53. Making location easier for developers with new data primitives, Stop requiring only one assertion per unit test: Multiple assertions are fine, Mobile app infrastructure being decommissioned. Convert a hex string to base64 in an Excel function, Making location easier for developers with new data primitives, Stop requiring only one assertion per unit test: Multiple assertions are fine, Mobile app infrastructure being decommissioned. Site design / logo 2022 Stack Exchange Inc; user contributions licensed under CC BY-SA. Base64 encoding and decoding of text is a common requirement, yet Excel and VBA have no native function for doing so. Function to convert column number to letter? Does squeezing out liquid from shredded potatoes significantly reduce cook time? What can I do if my pomade tin is 0.1 oz over the TSA limit? In excel I have a column A with 100 rows of data, I would like to place the corresponding base 64 encoded value in column B for all items in column A. This article describes the formula syntax and usage of the BASE Why does the sentence uses a question form, but it is put a period in the end? Thanks in Advance. I have a lengthy string of hex values to convert to base64. The ENCODEURL function returns a URL-encoded string, replacing certain non-alphanumeric characters with the percentage symbol (%) and a hexadecimal number. Transformer 220/380/440 V 24 V explanation. Making location easier for developers with new data primitives, Stop requiring only one assertion per unit test: Multiple assertions are fine, Mobile app infrastructure being decommissioned. Must be an integer greater than or equal to 2 and less than or equal to 36. How do I merge two dictionaries in a single expression? To Base64 encode the file, a byte-like object is needed instead of string. Should we burninate the [variations] tag? Use Base64 Encoder to issue a base 64 encoded string for a selected string field. Is cycling an aerobic or anaerobic exercise? 3. Why are only 2 out of the 3 boosters on Falcon Heavy reused? The conversion works and the data is received by all relevant databases and parsed appropriately. function in Microsoft Excel. Not the answer you're looking for? What is Base64 Encoding. Here is a link to the MS Docs that explains the JSON() function. 2022 Moderator Election Q&A Question Collection. The encoder adds one or two padding characters ( =) at the end of the output as needed in order to meet this requirement. 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 . If you can't pull it off, maybe post a new question with details about where exactly you are stuck. How can I convert an image into Base64 string using JavaScript? In C, why limit || and && to evaluate to booleans? Why is proving something is NP-complete useful, and where can I use it? Asking for help, clarification, or responding to other answers. Connect and share knowledge within a single location that is structured and easy to search. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. You can use a. Internet lobsters. Add a label control and set it's Text property to imgJSON. Did Dick Cheney run a death squad that killed Benazir Bhutto? This article describes the formula syntax and usage of the BASE function in Microsoft Excel. How do I encode and decode a base64 string? Also known as a binary to text converter. According to your description, I think binary functions will suitable for your requirements. error value. Your Excel files will be uploaded and converted to result format. How to generate a horizontal histogram with words? How do I check whether a file exists without exceptions? Search Options. If you really do want to convert it to base64, I can help, but think about this carefully. Making statements based on opinion; back them up with references or personal experience. Add a button. Normally you would only use base64 to represent binary data or data which contains potentially bad characters for the container in which you intend to store it. Reading the input file in chunks that are a multiple of three bytes in length results in a chunk that can be encoded independently of the rest of the input file. From what I understand of the base64 package, it can only encode bytes-like objects. The easiest method is JSON() function that includes Binary Data, Only want the base64 value :Example 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