Hi,
I have the next error in .Net: An exception of type ‘Aspose.Cells.CellsException’ occurred in Aspose.Cells.dll but was not handled in user code
Additional information: The file is corrupted.
This occur after:
byte[] fileAsBytes = System.Text.Encoding.UTF8.GetBytes(fileBase64);
Stream stream = new MemoryStream(fileAsBytes, 0, fileAsBytes.Length);
fileSource.Position = 0;
LoadOptions loadOptions = new LoadOptions(LoadFormat.Xlsx);
Workbook workbook = new Workbook(stream , loadOptions);
I appreciate your help. I need convert excel from base64 to aspose Worbook and then save it in my local device.
thanks.
@alejandrogarciao
Thanks for using Aspose APIs.
Please provide us your runnable sample code console application project which we could run at our end and replicate this issue. We will look into it and help you asap.
1 Like
@alejandrogarciao
Thanks for using Aspose APIs.
You need to use
Convert.FromBase64String()
instead of
System.Text.Encoding.UTF8.GetBytes()
Please see the following sample code that converts base 64 string to workbook successfully. Please also check the output Excel file generated by the code for your reference.
Download Link:
Output Excel File.zip (7.4 KB)
C#
//Base 64 string containing Excel file
string fileBase64 = "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//Convert base 64 string to byte[]
byte[] fileAsBytes = Convert.FromBase64String(fileBase64);
//Convert byte[] into stream
Stream stream = new MemoryStream(fileAsBytes, 0, fileAsBytes.Length);
//Specify load options.
LoadOptions loadOptions = new LoadOptions(LoadFormat.Xlsx);
//Create workbook from stream
Workbook workbook = new Workbook(stream, loadOptions);
//Save the workbook
workbook.Save("output.xlsx");