Convert PDF To TIFF From URL Asynchronously - C#
PDF to TIFF sample in C# demonstrating ‘Convert PDF To TIFF From URL Asynchronously’
Program.cs
using System;
using System.IO;
using System.Net;
using Newtonsoft.Json.Linq;
using System.Threading;
using System.Collections.Generic;
using Newtonsoft.Json;
// Cloud API asynchronous "PDF To TIFF" job example.
// Allows to avoid timeout errors when processing huge or scanned PDF documents.
namespace ByteScoutWebApiExample
{
class Program
{
// The authentication key (API Key).
// Get your own by registering at https://app.pdf.co
const String API_KEY = "***********************************";
// Direct URL of source PDF file.
// You can also upload your own file into PDF.co and use it as url. Check "Upload File" samples for code snippets: https://github.com/bytescout/pdf-co-api-samples/tree/master/File%20Upload/
const string SourceFileUrl = "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/pdf-to-image/sample.pdf";
// Comma-separated list of page indices (or ranges) to process. Leave empty for all pages. Example: '0,2-5,7-'.
const string Pages = "";
// PDF document password. Leave empty for unprotected documents.
const string Password = "";
// Destination TIFF file name
const string DestinationFile = @".\result.tif";
// (!) Make asynchronous job
const bool Async = true;
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 `PDF To TIFF` API call
string url = "https://api.pdf.co/v1/pdf/convert/to/tiff";
// Prepare requests params as JSON
Dictionary<string, object> parameters = new Dictionary<string, object>();
parameters.Add("name", Path.GetFileName(DestinationFile));
parameters.Add("password", Password);
parameters.Add("pages", Pages);
parameters.Add("url", SourceFileUrl);
parameters.Add("async", Async);
// Convert dictionary of params to JSON
string jsonPayload = JsonConvert.SerializeObject(parameters);
try
{
// 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)
{
// Asynchronous job ID
string jobId = json["jobId"].ToString();
// URL of generated TIFF file that will available after the job completion
string resultFileUrl = json["url"].ToString();
// Check the job status in a loop.
// If you don't want to pause the main thread you can rework the code
// to use a separate thread for the status checking and completion.
do
{
string status = CheckJobStatus(jobId); // Possible statuses: "working", "failed", "aborted", "success".
// Display timestamp and status (for demo purposes)
Console.WriteLine(DateTime.Now.ToLongTimeString() + ": " + status);
if (status == "success")
{
// Download TIFF file
webClient.DownloadFile(resultFileUrl, DestinationFile);
Console.WriteLine("Generated TIFF file saved as \"{0}\" file.", DestinationFile);
break;
}
else if (status == "working")
{
// Pause for a few seconds
Thread.Sleep(3000);
}
else
{
Console.WriteLine(status);
break;
}
}
while (true);
}
else
{
Console.WriteLine(json["message"].ToString());
}
}
catch (WebException e)
{
Console.WriteLine(e.ToString());
}
webClient.Dispose();
Console.WriteLine();
Console.WriteLine("Press any key...");
Console.ReadKey();
}
static string CheckJobStatus(string jobId)
{
using (WebClient webClient = new WebClient())
{
// Set API Key
webClient.Headers.Add("x-api-key", API_KEY);
string url = "https://api.pdf.co/v1/job/check?jobid=" + jobId;
string response = webClient.DownloadString(url);
JObject json = JObject.Parse(response);
return Convert.ToString(json["status"]);
}
}
}
}
PDF.co 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.
Download Source Code (.zip)
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