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Replace Text in CSV

Replace text in CSV with a few simple steps

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GroupDocs.Redaction presents an easy-to-use app Replace Text in CSV. The text replacement app works for both the content of the document and its metadata.

Please upload your CSV file, specify text phrase, then phrase for substitution, and push Replace 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 replace text in CSV

How to replace text in CSV

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

FAQ

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