ByteScout PDF Extractor SDK – C# – Find PDF Table And Extract As CSV

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ByteScout PDF Extractor SDK – C# – Find PDF Table And Extract As CSV

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ByteScout-PDF-Extractor-SDK-C-sharp-Find-PDF-Table-And-Extract-As-CSV.pdf

How to find PDF table and extract as CSV in C# using ByteScout PDF Extractor SDK

The tutorial below will demonstrate how to find PDF table and extract as CSV in C#

We made thousands of pre-made source code pieces for easy implementation in your own programming projects. Want to find PDF table and extract as CSV in your C# app? ByteScout PDF Extractor SDK is designed for it. ByteScout PDF Extractor SDK is the SDK that helps developers to extract data from unstructured documents, pdf, images, scanned and electronic forms. Includes AI functions like automatic table detection, automatic table extraction and restructuring, text recognition and text restoration from pdf and scanned documents. Includes PDF to CSV, PDF to XML, PDF to JSON, PDF to searchable PDF functions as well as methods for low level data extraction.

Fast application programming interfaces of ByteScout PDF Extractor SDK for C# plus the instruction and the code below will help you quickly learn how to find PDF table and extract as CSV. Follow the instructions from the scratch to work and copy the C# code. Further enhancement of the code will make it more vigorous.

ByteScout free trial version is available for download from our website. It includes all these programming tutorials along with source code samples.

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Program.cs

      using System.Diagnostics;
using Bytescout.PDFExtractor;

namespace FindTableAndExtractAsCsv
{
    class Program
    {
        static void Main(string[] args)
        {
            // Create Bytescout.PDFExtractor.CSVExtractor instance
            CSVExtractor csvExtractor = new CSVExtractor();
            csvExtractor.RegistrationName = "demo";
            csvExtractor.RegistrationKey = "demo";

            // Create Bytescout.PDFExtractor.TableDetector instance
            TableDetector tableDetector = new TableDetector();
            tableDetector.RegistrationKey = "demo";
            tableDetector.RegistrationName = "demo";

            // Set table detection mode to "bordered tables" - best for tables with closed solid borders.
            tableDetector.ColumnDetectionMode = ColumnDetectionMode.BorderedTables;

            // We should define what kind of tables we should detect.
            // So we set min required number of columns to 3 ...
            tableDetector.DetectionMinNumberOfColumns = 3;
            // ... and we set min required number of rows to 3
            tableDetector.DetectionMinNumberOfRows = 3;

            // Load sample PDF document
            csvExtractor.LoadDocumentFromFile(@".\sample3.pdf");
            tableDetector.LoadDocumentFromFile(@".\sample3.pdf");

            // Get page count
            int pageCount = tableDetector.GetPageCount();

            for (int i = 0; i < pageCount; i++)
            {
                int t = 1;
                // Find first table and continue if found
                if (tableDetector.FindTable(i))
                {
                    do
                    {
                        // Set extraction area for CSV extractor to rectangle received from the table detector
                        csvExtractor.SetExtractionArea(tableDetector.FoundTableLocation);
                        // Export the table to CSV file
                        csvExtractor.SavePageCSVToFile(i, "page-" + i + "-table-" + t + ".csv");
                        t++;
                    } 
                    while (tableDetector.FindNextTable()); // search next table
                }
            }

            // Cleanup
            csvExtractor.Dispose();
            tableDetector.Dispose();

            // Open first output file in default associated application (for demo purposes)
            ProcessStartInfo processStartInfo = new ProcessStartInfo("page-0-table-1.csv");
            processStartInfo.UseShellExecute = true;
            Process.Start(processStartInfo);
        }
    }
}