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

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

Today we will explain the steps and algorithm of how to optimize PDF from uploaded file (node and how to make it work in your application. PDF.co Web API was made to help 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.

This rich sample source code in JavaScript for PDF.co Web API includes the number of functions and options you should do calling the API to implement PDF optimization API. Sample code in JavaScript is all you need. Copy-paste it to your the code editor, then add a reference to PDF.co Web API and you are ready to try it! Further enhancement of the code will make it more vigorous.

PDF.co Web API – free trial version is on available our website. Also, there are other code samples to help you with your JavaScript application included into trial version.

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OptimizePdfFromUploadedFile.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"; // 1. RETRIEVE PRESIGNED URL TO UPLOAD FILE. getPresignedUrl(API_KEY, SourceFile) .then(([uploadUrl, uploadedFileUrl]) => { // 2. UPLOAD THE FILE TO CLOUD. uploadFile(API_KEY, SourceFile, uploadUrl) .then(() => { // 3. OPTIMIZE UPLOADED PDF FILE optimizePdf(API_KEY, uploadedFileUrl, Password, DestinationFile); }) .catch(e => { console.log(e); }); }) .catch(e => { console.log(e); }); function getPresignedUrl(apiKey, localFile) { return new Promise(resolve => { // Prepare request to `Get Presigned URL` API endpoint let queryPath = `/v1/file/upload/get-presigned-url?contenttype=application/octet-stream&name=${path.basename(SourceFile)}`; let reqOptions = { host: "api.pdf.co", path: encodeURI(queryPath), headers: { "x-api-key": API_KEY } }; // Send request https.get(reqOptions, (response) => { response.on("data", (d) => { let data = JSON.parse(d); if (data.error == false) { // Return presigned url we received resolve([data.presignedUrl, data.url]); } else { // Service reported error console.log("getPresignedUrl(): " + data.message); } }); }) .on("error", (e) => { // Request error console.log("getPresignedUrl(): " + e); }); }); } function uploadFile(apiKey, localFile, uploadUrl) { return new Promise(resolve => { fs.readFile(SourceFile, (err, data) => { request({ method: "PUT", url: uploadUrl, body: data, headers: { "Content-Type": "application/octet-stream" } }, (err, res, body) => { if (!err) { resolve(); } else { console.log("uploadFile() request error: " + e); } }); }); }); } function optimizePdf(apiKey, uploadedFileUrl, password, destinationFile) { // Prepare request to `Optimize PDF` API endpoint var queryPath = `/v1/pdf/optimize?name=${path.basename(destinationFile)}&password=${password}&url=${uploadedFileUrl}&async=True`; let reqOptions = { host: "api.pdf.co", path: encodeURI(queryPath), method: "GET", headers: { "x-api-key": API_KEY } }; // Send request https.get(reqOptions, (response) => { response.on("data", (d) => { response.setEncoding("utf8"); // Parse JSON response let data = JSON.parse(d); console.log(`Job #${data.jobId} has been created!`); if (data.error == false) { checkIfJobIsCompleted(data.jobId, data.url, destinationFile); } else { // Service reported error console.log("readBarcodes(): " + data.message); } }); }) .on("error", (e) => { // Request error console.log("readBarcodes(): " + e); }); } function checkIfJobIsCompleted(jobId, resultFileUrl, destinationFile) { let queryPath = `/v1/job/check?jobid=${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: ${new Date().toLocaleString()}`); if (data.status == "working") { // Check again after 3 seconds setTimeout(function(){ checkIfJobIsCompleted(jobId, resultFileUrl, destinationFile);}, 3000); } else if (data.status == "success") { // Download PDF file var file = fs.createWriteStream(destinationFile); https.get(resultFileUrl, (response2) => { response2.pipe(file) .on("close", () => { console.log(`Generated PDF file saved as "${destinationFile}" file.`); }); }); } else { console.log(`Operation ended with status: "${data.status}".`); } }) }); }

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