ByteScout Sensitive Data Suite – C# – Auto Redact Text From PDF By Keywords

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ByteScout Sensitive Data Suite – C# – Auto Redact Text From PDF By Keywords

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ByteScout-Sensitive-Data-Suite-C-sharp-Auto-Redact-Text-From-PDF-By-Keywords.pdf

auto redact text from PDF by keywords in C# with ByteScout Sensitive Data Suite

Learn auto redact text from PDF by keywords in C#

The documentation is crafted to assist you to apply the features on your side easily. ByteScout Sensitive Data Suite was made to help with auto redact text from PDF by keywords in C#. ByteScout Sensitive Data Suite is 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.

This rich and prolific sample source code in C# for ByteScout Sensitive Data Suite contains various functions and options you should do calling the API to implement auto redact text from PDF by keywords. If you want to implement this functionality, you should copy and paste code below into your app using code editor. Then compile and run your application. Check these C# sample code examples to see if they acknowledge to your needs and requirements for the project.

On our website you may get trial version of ByteScout Sensitive Data Suite for free. Source code samples are included to help you with your C# application.

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Program.cs

      using System;
using System.Drawing;
using Bytescout.PDFExtractor;

namespace AutoRedactTextFromPDFByKeywords
{
    class Program
    {
        static void Main(string[] args)
        {
            // Create Bytescout.PDFExtractor.Remover instance
            Remover remover = new Remover("demo", "demo");

            // Load sample PDF document
            remover.LoadDocumentFromFile(@"sample1.pdf");

            // Search Keyword
            string SearchKeyword = "Martian dichotomy";
            
            // Prepare TextExtractor
            using (TextExtractor textExtractor = new TextExtractor("demo", "demo"))
            {
                // Load document into TextExtractor
                textExtractor.LoadDocumentFromFile(@"sample1.pdf");

                // Set word matching options
                textExtractor.WordMatchingMode = WordMatchingMode.None;

                ISearchResult[] searchResults = textExtractor.FindAll(0, SearchKeyword, 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();
        }
    }
}