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Edit CSV Text Online

Simple CSV text editor: just specify a phrase to search and a phrase to edit and download resultant file

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

Please upload your CSV 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 CSV

How to edit text in CSV

  • Select the editing area from the "Edit" dropdown list (text, metadata).
  • Upload your CSV file to edit
  • Enter text search pattern and replacement value
  • Click "Edit 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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