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Split PDF By Text From URL - C#

PDF Split sample in C# demonstrating ‘Split PDF By Text From URL’

using Newtonsoft.Json;
using Newtonsoft.Json.Linq;
using System;
using System.Collections.Generic;
using System.Net;

namespace ByteScoutWebApiExample
	class Program
		// The authentication key (API Key).
		// Get your own by registering at
		const String API_KEY = "********************************";

		// Source PDF file to split
        // You can also upload your own file into and use it as url. Check "Upload File" samples for code snippets:
		const string SourceFileUrl = @"";

		static void Main(string[] args)
			// Create standard .NET web client instance
			WebClient webClient = new WebClient();

			// Set API Key
			webClient.Headers.Add("x-api-key", API_KEY);

				// URL for `Split PDF By Text` API call
				string url = "";

				// Prepare requests params as JSON
				Dictionary<string, object> parameters = new Dictionary<string, object>();
				parameters.Add("searchString", "invoice number");
				parameters.Add("url", SourceFileUrl);

				// Convert dictionary of params to JSON
				string jsonPayload = JsonConvert.SerializeObject(parameters);

				// Execute POST request with JSON payload
				string response = webClient.UploadString(url, jsonPayload);

				// Parse JSON response
				JObject json = JObject.Parse(response);

				if (json["error"].ToObject<bool>() == false)
					// Download generated PDF files
					int part = 1;
					foreach (JToken token in json["urls"])
						string resultFileUrl = token.ToString();
						string localFileName = String.Format(@".\part{0}.pdf", part);

						webClient.DownloadFile(resultFileUrl, localFileName);

						Console.WriteLine("Downloaded \"{0}\".", localFileName);
			catch (WebException e)


			Console.WriteLine("Press any key...");
} Web API: the Web API with a set of tools for documents manipulation, data conversion, data extraction, splitting and merging of documents. Includes image recognition, built-in OCR, barcode generation and barcode decoders to decode bar codes from scans, pictures and pdf.

Get your API key here!

Download Source Code (.zip)

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