GroupDocs.Redaction presents a lightweight and easy-to-use Edit Text in XLT app that allows to edit text in XLT files with just a few steps.

Please upload your XLT file, specify text phrase, then phrase for substitution, and push Edit Now button. Our app will process your file and you can download the result.

This web application is built using sanitization API implemented in the GroupDocs.Redaction for .NET library and supports the following features:

How to edit text in XLT

How to edit text in XLT

  • Select the editing area from the "Edit" dropdown list (text, metadata).
  • Upload your XLT file to edit
  • Enter text search pattern and replacement value
  • Click "Edit Now" button
  • Download the resultant XLT file
  • Send result by email

FAQ

  • ❓ How can I sanitize sensitive content from XLT files?
    First, you need to upload a file: drag & drop your XLT file or click inside the white area to choose a file, then you will have to choose type of redaction, replacement and options.
  • ⏱️ How long does it take to clean up the sensitive data from a XLT file?
    The redaction works fast - typically it takes a couple of seconds to clean up a XLT file.
  • 🛡️ Is it safe to sanitize XLT files using free GroupDocs.Redaction App?
    Of course! The redacted files will be available shortly after the file uploaded and will be deleted in 24 hours.
  • 💻 Can I open XLT and redact XLT sensitive data on Linux, Mac OS, or Android?
    Yes, you can use the free GroupDocs.Redaction on any operating system that has a web browser - our XLT redaction application works online and does not require any software installation.
  • 🌐 What browser should I use to sanitize XLT document sensitive data?
    You can use any modern browser to redact out XLT sensitive data, for example, Google Chrome, Microsoft Edge, Firefox, Opera, or Safari.
  • </> What code is running on the server-side to redact XLT data?
    Detailed code examples are available at GitHub in the form of executable projects. If you are interested in particular code for data redaction, feel free to review sanitization examples (.NET, Java).
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