Most "free" online PDF tools upload your files to their servers.
That means your medical documents, salary slips, financial records,
and confidential contracts are sitting on someone else's computer.
When I built ToolForge's 12 PDF tools, I made a hard decision: nothing
leaves the browser. Here's exactly how I built it and what I learned.
Why Browser-Only Matters
When you compress a PDF on most free tools, here's what actually happens:
- Your file uploads to their AWS/Google Cloud bucket
- Server-side code processes it
- Processed file downloads back to you
- Your original file sits in their storage (usually deleted after 24h... usually) For a salary slip, medical report, or legal document — this is a real privacy risk. Browser-only processing eliminates it entirely.
The Core Library: PDF.js + PDF-lib
I use two libraries for different PDF operations:
PDF.js (Mozilla) — for reading and rendering PDFs
PDF-lib — for creating, modifying, and manipulating PDFs
npm install pdfjs-dist pdf-lib
PDF Compression (Client-Side)
True compression requires re-encoding, which is complex client-side.
My approach: re-render each PDF page to a canvas at slightly reduced
quality, then rebuild the PDF from those images.
import * as pdfjsLib from 'pdfjs-dist';
import { PDFDocument } from 'pdf-lib';
async function compressPDF(file, quality = 0.7) {
const arrayBuffer = await file.arrayBuffer();
const pdf = await pdfjsLib.getDocument(arrayBuffer).promise;
const newPdf = await PDFDocument.create();
for (let i = 1; i <= pdf.numPages; i++) {
const page = await pdf.getPage(i);
const viewport = page.getViewport({ scale: 1.0 });
// Render page to canvas
const canvas = document.createElement('canvas');
canvas.width = viewport.width;
canvas.height = viewport.height;
const ctx = canvas.getContext('2d');
await page.render({ canvasContext: ctx, viewport }).promise;
// Convert canvas to JPEG (this is where compression happens)
const imageDataUrl = canvas.toDataURL('image/jpeg', quality);
const imageBytes = await fetch(imageDataUrl)
.then(r => r.arrayBuffer());
// Add to new PDF
const jpgImage = await newPdf.embedJpg(imageBytes);
const newPage = newPdf.addPage([viewport.width, viewport.height]);
newPage.drawImage(jpgImage, {
x: 0, y: 0,
width: viewport.width,
height: viewport.height
});
}
return await newPdf.save();
}
This achieves 40–70% file size reduction while keeping all pages intact.
Everything runs in the user's browser — no upload required.
PDF Merging
Merging is simpler — PDF-lib handles this natively:
async function mergePDFs(files) {
const mergedPdf = await PDFDocument.create();
for (const file of files) {
const arrayBuffer = await file.arrayBuffer();
const pdf = await PDFDocument.load(arrayBuffer);
const pages = await mergedPdf.copyPages(pdf, pdf.getPageIndices());
pages.forEach(page => mergedPdf.addPage(page));
}
return await mergedPdf.save();
}
Drop it in a <input type="file" multiple accept=".pdf">, call this
function, and trigger a download. That's the entire merge tool.
PDF Rotation
import { degrees } from 'pdf-lib';
async function rotatePDF(file, rotation = 90) {
const arrayBuffer = await file.arrayBuffer();
const pdf = await PDFDocument.load(arrayBuffer);
const pages = pdf.getPages();
pages.forEach(page => {
const currentRotation = page.getRotation().angle;
page.setRotation(degrees(currentRotation + rotation));
});
return await pdf.save();
}
Password Protection (Lock/Unlock PDF)
PDF-lib supports encryption. For locking:
async function lockPDF(file, password) {
const arrayBuffer = await file.arrayBuffer();
const pdf = await PDFDocument.load(arrayBuffer);
// PDF-lib uses the standard PDF encryption spec
const pdfBytes = await pdf.save({
userPassword: password,
ownerPassword: password + '_owner',
permissions: {
printing: 'lowResolution',
modifying: false,
copying: false,
}
});
return pdfBytes;
}
For unlocking — you load the PDF with the user-provided password:
async function unlockPDF(file, password) {
const arrayBuffer = await file.arrayBuffer();
const pdf = await PDFDocument.load(arrayBuffer, { password });
// Save without password
return await pdf.save();
}
Handling Large Files
The main challenge with browser-based PDF processing is memory.
Large files (50MB+) can crash the browser tab. My solution:
// Check file size before processing
const MAX_SIZE_MB = 50;
if (file.size > MAX_SIZE_MB * 1024 * 1024) {
setError(`File too large. Maximum size is ${MAX_SIZE_MB}MB.`);
return;
}
// Process in chunks for multi-page documents
const CHUNK_SIZE = 10; // pages per chunk
for (let i = 0; i < totalPages; i += CHUNK_SIZE) {
await processPageChunk(i, Math.min(i + CHUNK_SIZE, totalPages));
// Small delay to prevent UI freeze
await new Promise(resolve => setTimeout(resolve, 10));
}
The Result: 12 PDF Tools, Zero Server Uploads
ToolForge now has 12 browser-based PDF tools:
Compress, Merge, Split, Rotate, Lock, Unlock, Watermark,
Sign, PDF↔Word, PDF→JPG, PDF→Excel, Image→PDF.
Every single one processes files locally. No data ever leaves your browser.
The full toolkit is free at freetoolforge.org/tools/document-tools
Have you built browser-based file processing tools? What was your biggest
challenge? Drop it in the comments — I'd genuinely like to know.
WORD COUNT: ~780 words
ESTIMATED READ TIME: 5 min
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