Delete PDF Text From Uploaded File - C#
PDF Search and Delete Text from PDF sample in C# demonstrating ‘Delete PDF Text From Uploaded File’
Program.cs
using System;
using System.Collections.Generic;
using System.IO;
using System.Net;
using Newtonsoft.Json;
using Newtonsoft.Json.Linq;
namespace ByteScoutWebApiExample
{
class Program
{
// The authentication key (API Key).
// Get your own by registering at https://app.pdf.co
const String API_KEY = "***********************************";
// Source PDF file
const string SourceFile = @".\sample.pdf";
// PDF document password. Leave empty for unprotected documents.
const string Password = "";
// The text to search for and remove
const string SearchString = "conspicuous";
// Destination PDF file name
const string DestinationFile = @".\result.pdf";
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);
// Upload file to the cloud
string uploadedFileUrl = UploadFile(SourceFile);
if (string.IsNullOrEmpty(uploadedFileUrl))
{
Console.WriteLine("File upload error.");
return;
}
// DELETE TEXT FROM UPLOADED PDF FILE
// Prepare requests params as JSON
// See documentation: https://apidocs.pdf.co/#pdf-search-and-delete-text-from-pdf
Dictionary<string, string> parameters = new Dictionary<string, string>();
parameters.Add("url", uploadedFileUrl);
parameters.Add("password", Password);
parameters.Add("name", Path.GetFileName(DestinationFile));
parameters.Add("searchString", SearchString);
// Convert dictionary of params to JSON
string jsonPayload = JsonConvert.SerializeObject(parameters);
try
{
// URL of "Delete Text from PDF" endpoint
string url = "https://api.pdf.co/v1/pdf/edit/delete-text";
// 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)
{
// Get URL of generated PDF file
string resultFileUrl = json["url"].ToString();
// Download generated PDF file
webClient.DownloadFile(resultFileUrl, DestinationFile);
Console.WriteLine("Generated PDF file saved as \"{0}\" file.", DestinationFile);
}
else
{
Console.WriteLine(json["message"].ToString());
}
}
catch (WebException e)
{
Console.WriteLine(e.ToString());
}
webClient.Dispose();
Console.WriteLine();
Console.WriteLine("Press any key...");
Console.ReadKey();
}
/// <summary>
/// Uploads file to the cloud and return URL of uploaded file to use in further API calls.
/// </summary>
/// <param name="file">Source file name (path).</param>
/// <returns>URL of uploaded file</returns>
static string UploadFile(string file)
{
// Create standard .NET web client instance
WebClient webClient = new WebClient();
// Set API Key
webClient.Headers.Add("x-api-key", API_KEY);
try
{
// 1. RETRIEVE THE PRESIGNED URL TO UPLOAD THE FILE.
// * If you already have a direct file URL, skip to the step 3.
// Prepare URL for `Get Presigned URL` API call
string query = Uri.EscapeUriString(string.Format(
"https://api.pdf.co/v1/file/upload/get-presigned-url?contenttype=application/octet-stream&name={0}",
Path.GetFileName(file)));
// Execute request
string response = webClient.DownloadString(query);
// Parse JSON response
JObject json = JObject.Parse(response);
if (json["error"].ToObject<bool>() == false)
{
// Get URL to use for the file upload
string uploadUrl = json["presignedUrl"].ToString();
// Get URL of uploaded file to use with later API calls
string uploadedFileUrl = json["url"].ToString();
// 2. UPLOAD THE FILE TO CLOUD.
webClient.Headers.Add("content-type", "application/octet-stream");
webClient.UploadFile(uploadUrl, "PUT", file); // You can use UploadData() instead if your file is in byte[] or Stream
return uploadedFileUrl;
}
else
{
// Display service reported error
Console.WriteLine(json["message"].ToString());
}
}
catch (Exception e)
{
Console.WriteLine(e);
throw;
}
finally
{
webClient.Dispose();
}
return null;
}
}
}
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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