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

Please upload your XLS 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 XLS

How to edit text in XLS

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

FAQ

  • ❓ How can I sanitize sensitive content from XLS files?
    First, you need to upload a file: drag & drop your XLS 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 XLS file?
    The redaction works fast - typically it takes a couple of seconds to clean up a XLS file.
  • 🛡️ Is it safe to sanitize XLS 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 XLS and redact XLS 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 XLS redaction application works online and does not require any software installation.
  • 🌐 What browser should I use to sanitize XLS document sensitive data?
    You can use any modern browser to redact out XLS sensitive data, for example, Google Chrome, Microsoft Edge, Firefox, Opera, or Safari.
  • </> What code is running on the server-side to redact XLS 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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