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