The sample source code below will teach you how to remove sensitive text using regex expressions in C#. ByteScout Sensitive Data Suite: the set that includes SDK tools from ByteScout for working with sensitive and personal data. With these tools you may analyze, redact, remove, blackout sensitive data in documents and pdf. It can remove sensitive text using regex expressions in C#.
This prolific sample source code in C# for ByteScout Sensitive Data Suite contains various functions and other necessary options you should do calling the API to remove sensitive text using regex expressions. Follow the instructions from scratch to work and copy the C# code. Enjoy writing a code with ready-to-use sample codes in C#.
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      using System;
using System.Drawing;
using Bytescout.PDFExtractor;
namespace RemoveSensitiveTextUsingRegexExpressions
{
    class Program
    {
        static void Main(string[] args)
        {
            // Create Bytescout.PDFExtractor.Remover instance
            Remover remover = new Remover("demo", "demo");
            // Load sample PDF document
            remover.LoadDocumentFromFile(@"samplePDF_EmailAddress.pdf");
            // Prepare TextExtractor
            using (TextExtractor textExtractor = new TextExtractor("demo", "demo"))
            {
                // Load document into TextExtractor
                textExtractor.LoadDocumentFromFile(@"samplePDF_EmailAddress.pdf");
                // Search email Addresses
                // See the complete regular expressions reference at https://msdn.microsoft.com/en-us/library/az24scfc(v=vs.110).aspx
                string regexPattern = @"\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,6}\b";
                // Enable RegexSearch
                textExtractor.RegexSearch = true;
                // Set word matching options
                textExtractor.WordMatchingMode = WordMatchingMode.None;
                ISearchResult[] searchResults = textExtractor.FindAll(0, regexPattern, caseSensitive: false);
                // Remove text objects find by SearchResults.
                // NOTE: The removed text might be larger than the specified rectangle. Currently the Remover is unable 
                // to split PDF text objects.
                remover.RemoveText(searchResults, @"result1.pdf");
            }
            // Open output file in default application
            System.Diagnostics.Process.Start("result1.pdf");
            // Clean up.
            remover.Dispose();
        }
    }
}
    
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60 Day Free Trial or Visit ByteScout Sensitive Data Suite Home Page
Explore ByteScout Sensitive Data Suite Documentation
Explore Samples
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Get Your API Key
Explore Web API Docs
Explore Web API Samples