RPA Robotic Process Automation - Extract Text From Large PDF Document in Parallel Processing - C# - ByteScout

RPA Robotic Process Automation – Extract Text From Large PDF Document in Parallel Processing – C#

  • Home
  • /
  • Articles
  • /
  • RPA Robotic Process Automation – Extract Text From Large PDF Document in Parallel Processing – C#

How to extract text from large PDF document in parallel processing in C# and ByteScout Robotic Process Automation

What is ByteScout Robotic Process Automation? It is set of tools for rapid implementation of robotic process automation applications.

On-demand (REST Web API) version:
 Web API (on-demand version)

On-premise offline SDK for Windows:
 60 Day Free Trial (on-premise)


<?xml version="1.0" encoding="utf-8"?> <Project ToolsVersion="15.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003"> <Import Project="$(MSBuildExtensionsPath)\$(MSBuildToolsVersion)\Microsoft.Common.props" Condition="Exists('$(MSBuildExtensionsPath)\$(MSBuildToolsVersion)\Microsoft.Common.props')" /> <PropertyGroup> <Configuration Condition=" '$(Configuration)' == '' ">Debug</Configuration> <Platform Condition=" '$(Platform)' == '' ">AnyCPU</Platform> <ProjectGuid>{0B102DA4-C143-481D-A076-1F56E3CB1CF5}</ProjectGuid> <OutputType>Exe</OutputType> <RootNamespace>MultithreadProcessing</RootNamespace> <AssemblyName>MultithreadProcessing</AssemblyName> <TargetFrameworkVersion>v4.0</TargetFrameworkVersion> <FileAlignment>512</FileAlignment> </PropertyGroup> <PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Debug|AnyCPU' "> <PlatformTarget>AnyCPU</PlatformTarget> <DebugSymbols>true</DebugSymbols> <DebugType>full</DebugType> <Optimize>false</Optimize> <OutputPath>bin\Debug\</OutputPath> <DefineConstants>DEBUG;TRACE</DefineConstants> <ErrorReport>prompt</ErrorReport> <WarningLevel>4</WarningLevel> </PropertyGroup> <PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Release|AnyCPU' "> <PlatformTarget>AnyCPU</PlatformTarget> <DebugType>pdbonly</DebugType> <Optimize>true</Optimize> <OutputPath>bin\Release\</OutputPath> <DefineConstants>TRACE</DefineConstants> <ErrorReport>prompt</ErrorReport> <WarningLevel>4</WarningLevel> </PropertyGroup> <ItemGroup> <Reference Include="Bytescout.PDFExtractor, Version=, Culture=neutral, PublicKeyToken=f7dd1bd9d40a50eb, processorArchitecture=MSIL"> <SpecificVersion>False</SpecificVersion> <HintPath>C:\Program Files\Bytescout PDF Extractor SDK\net4.00\Bytescout.PDFExtractor.dll</HintPath> </Reference> <Reference Include="Bytescout.PDFExtractor.OCRExtension, Version=, Culture=neutral, PublicKeyToken=f7dd1bd9d40a50eb, processorArchitecture=MSIL"> <SpecificVersion>False</SpecificVersion> <HintPath>C:\Program Files\Bytescout PDF Extractor SDK\net4.00\Bytescout.PDFExtractor.OCRExtension.dll</HintPath> </Reference> <Reference Include="System" /> <Reference Include="System.Core" /> <Reference Include="System.Xml.Linq" /> <Reference Include="System.Data" /> <Reference Include="System.Xml" /> </ItemGroup> <ItemGroup> <Compile Include="Program.cs" /> <Compile Include="Properties\AssemblyInfo.cs" /> </ItemGroup> <ItemGroup> <Content Include="sample.pdf"> <CopyToOutputDirectory>Always</CopyToOutputDirectory> </Content> </ItemGroup> <Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" /> </Project>


Microsoft Visual Studio Solution File, Format Version 12.00 # Visual Studio 15 VisualStudioVersion = 15.0.26730.10 MinimumVisualStudioVersion = 10.0.40219.1 Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "MultithreadProcessing", "MultithreadProcessing.csproj", "{0B102DA4-C143-481D-A076-1F56E3CB1CF5}" EndProject Global GlobalSection(SolutionConfigurationPlatforms) = preSolution Debug|Any CPU = Debug|Any CPU Release|Any CPU = Release|Any CPU EndGlobalSection GlobalSection(ProjectConfigurationPlatforms) = postSolution {0B102DA4-C143-481D-A076-1F56E3CB1CF5}.Debug|Any CPU.ActiveCfg = Debug|Any CPU {0B102DA4-C143-481D-A076-1F56E3CB1CF5}.Debug|Any CPU.Build.0 = Debug|Any CPU {0B102DA4-C143-481D-A076-1F56E3CB1CF5}.Release|Any CPU.ActiveCfg = Release|Any CPU {0B102DA4-C143-481D-A076-1F56E3CB1CF5}.Release|Any CPU.Build.0 = Release|Any CPU EndGlobalSection GlobalSection(SolutionProperties) = preSolution HideSolutionNode = FALSE EndGlobalSection GlobalSection(ExtensibilityGlobals) = postSolution SolutionGuid = {50466307-7059-438B-8545-42FDA71BC1A6} EndGlobalSection EndGlobal


using System; using System.Diagnostics; using System.IO; using System.Threading; using Bytescout.PDFExtractor; namespace MultithreadProcessing { class Program { // Limit to 4 threads in queue. // Set this value to number of cores in your CPU for max performance. private static readonly Semaphore _threadLimiter = new Semaphore(4, 4); private static int _runningThreadsCounter; static void Main(string[] args) { const string inputFileName = "sample.pdf"; const string resultFileName = "result.txt"; int CHUNK_SIZE = 10; int pageCount; // Get document page count using (var infoExtractor = new InfoExtractor("demo", "demo")) { infoExtractor.LoadDocumentFromFile(inputFileName); pageCount = infoExtractor.GetPageCount(); } Stopwatch stopwatch = Stopwatch.StartNew(); int numberOfThreads = pageCount / CHUNK_SIZE; if (pageCount - numberOfThreads * CHUNK_SIZE > 0) numberOfThreads += 1; ManualResetEvent allFinishedEvent = new ManualResetEvent(false); _runningThreadsCounter = 0; string[] chunks = new string[numberOfThreads]; for (int i = 0; i < numberOfThreads; i++) { // Wait for the queue _threadLimiter.WaitOne(); var startPage = i * CHUNK_SIZE; var endPage = Math.Min(pageCount - 1, (i + 1) * CHUNK_SIZE - 1); // Prepare temp file name for the chunk chunks[i] = string.Format("temp-{0}-{1}.txt", startPage, endPage); // Increase the thread counter Interlocked.Increment(ref _runningThreadsCounter); ThreadPool.QueueUserWorkItem(new WaitCallback(ThreadProc), new object[] { i, allFinishedEvent, inputFileName, chunks[i], startPage, endPage }); } // Wait for all threads allFinishedEvent.WaitOne(); // Merge pieces into a single text file using (Stream resultFileStream = File.Create(resultFileName)) { foreach (string tempFile in chunks) using (Stream srcStream = File.OpenRead(tempFile)) srcStream.CopyTo(resultFileStream); } // Delete temp files foreach (string tempFile in chunks) File.Delete(tempFile); Console.WriteLine("All done in {0}.", stopwatch.Elapsed); Console.WriteLine(); Console.WriteLine("Press any key to exit..."); Console.ReadKey(); } private static void ThreadProc(object stateInfo) { int threadIndex = (int) ((object[]) stateInfo)[0]; ManualResetEvent allFinishedEvent = (ManualResetEvent) ((object[]) stateInfo)[1]; string inputFile = (string) ((object[]) stateInfo)[2]; string outputFile = (string) ((object[]) stateInfo)[3]; int startPage = (int) ((object[]) stateInfo)[4]; int endPage = (int) ((object[]) stateInfo)[5]; try { Console.WriteLine("Thread #{0} started with the page range from {1} to {2}.", threadIndex, startPage, endPage); Stopwatch stopwatch = Stopwatch.StartNew(); // Process the piece using (TextExtractor textExtractor = new TextExtractor("demo", "demo")) { // Set page separator. Default is '\f' (Form Feed) textExtractor.PageSeparator = Environment.NewLine; // Since we are only extracting text, disable the caching to reduce memory usage textExtractor.PageDataCaching = PageDataCaching.None; textExtractor.OCRMode = OCRMode.Auto; textExtractor.OCRLanguageDataFolder = @"c:\Program Files\Bytescout PDF Extractor SDK\ocrdata_best\"; textExtractor.OCRLanguage = "eng"; // 300 DPI resolution is recommended. // Using of higher values will slow down the processing but does not guarantee the higher quality. textExtractor.OCRResolution = 300; textExtractor.LoadDocumentFromFile(inputFile); textExtractor.SaveTextToFile(startPage, endPage, outputFile); } Console.WriteLine("Thread #{0} finished in {1}.", threadIndex, stopwatch.Elapsed); } finally { // If it was the last thread, signal the main thread about the finish. if (Interlocked.Decrement(ref _runningThreadsCounter) == 0) allFinishedEvent.Set(); // Release semaphore _threadLimiter.Release(); } } } }



Get 60 Day Free Trial

See also:


Get Your API Key

See also: