How to optimize PDF from file (node for PDF optimization API in JavaScript using PDF.co Web API

See how to optimize PDF from file (node to have PDF optimization API in JavaScript

The coding tutorials are designed to help you test the features without need to write your own code. PDF.co Web API helps with PDF optimization API in JavaScript. PDF.co Web API is the Rest API that provides set of data extraction functions, tools for documents manipulation, splitting and merging of pdf files. Includes built-in OCR, images recognition, can generate and read barcodes from images, scans and pdf.

JavaScript code snippet like this for PDF.co Web API works best when you need to quickly implement PDF optimization API in your JavaScript application. This JavaScript sample code should be copied and pasted into your project. After doing this just compile your project and click Run. Writing JavaScript application typically includes multiple stages of the software development so even if the functionality works please test it with your data and the production environment.

Trial version of ByteScout is available for free download from our website. This and other source code samples for JavaScript and other programming languages are available.

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OptimizePdfFromFile_AsyncAPI.js
      
/*jshint esversion: 6 */ var https = require("https"); var path = require("path"); var fs = require("fs"); // `request` module is required for file upload. // Use "npm install request" command to install. var request = require("request"); // The authentication key (API Key). // Get your own by registering at https://app.pdf.co/documentation/api const API_KEY = "***********************************"; // Source PDF file const SourceFile = "./sample.pdf"; // PDF document password. Leave empty for unprotected documents. const Password = ""; // Destination PDF file name const DestinationFile = "./result.pdf"; // Prepare request uri var query = `https://api.pdf.co/v1/pdf/optimize`; let reqOptions = { uri: query, headers: { "x-api-key": API_KEY }, formData: { name: path.basename(DestinationFile), password: Password, async: 'True', file: fs.createReadStream(SourceFile) }, }; // Send request request.post(reqOptions, function (error, response, body) { if (error) { return console.error("Error: ", error); } // Parse JSON response let data = JSON.parse(body); console.log(`Job #${data.jobId} has been created!`); checkIfJobIsCompleted(data.jobId, data.url); }); function checkIfJobIsCompleted(jobId, resultFileUrl) { let queryPath = `/v1/job/check?jobid=${jobId}`; let reqOptions = { host: "api.pdf.co", path: encodeURI(queryPath), method: "GET", headers: { "x-api-key": API_KEY } }; https.get(reqOptions, (response) => { response.on("data", (d) => { response.setEncoding("utf8"); // Parse JSON response let data = JSON.parse(d); console.log(`Checking Job #${jobId}, Status: ${data.status}, Time: ${new Date().toLocaleString()}`); if (data.status == "working") { // Check again after 3 seconds setTimeout(function(){ checkIfJobIsCompleted(jobId, resultFileUrl);}, 3000); } else if (data.status == "success") { // Download PDF file var file = fs.createWriteStream(DestinationFile); https.get(resultFileUrl, (response2) => { response2.pipe(file) .on("close", () => { console.log(`Generated PDF file saved as "${DestinationFile}" file.`); }); }); } else { console.log(`Operation ended with status: "${data.status}".`); } }) }); }

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