惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Stack Overflow Blog
Stack Overflow Blog
Y
Y Combinator Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
M
MIT News - Artificial intelligence
GbyAI
GbyAI
A
About on SuperTechFans
T
The Blog of Author Tim Ferriss
雷峰网
雷峰网
Blog — PlanetScale
Blog — PlanetScale
J
Java Code Geeks
IT之家
IT之家
Microsoft Azure Blog
Microsoft Azure Blog
V
V2EX
爱范儿
爱范儿
N
Netflix TechBlog - Medium
U
Unit 42
博客园 - 三生石上(FineUI控件)
WordPress大学
WordPress大学
博客园 - 叶小钗
G
Google Developers Blog
Jina AI
Jina AI
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
The GitHub Blog
The GitHub Blog
腾讯CDC

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
How I built file tools that never upload your files (Canv...
Sylar · 2026-06-25 · via DEV Community

Sylar

Most "free online file tools" upload your file to a server, do the work there, and send it back. For a lot of tasks that is unnecessary and, honestly, a privacy smell. When I built Filuni (a free toolbox of 121 file tools), I made a rule: if the browser can do the job, the file should never leave the device. Here is how that actually works and where it breaks down.

What runs fully in the browser

For images, text and JSON, everything happens client-side. A few concrete examples:

Image compression / resize / crop — load the file into an <img> or createImageBitmap(), draw it onto a <canvas> at the target size, then export with canvas.toBlob(blob => ..., 'image/jpeg', quality). No upload, no round trip.

const bitmap = await createImageBitmap(file);
const canvas = new OffscreenCanvas(targetW, targetH);
const ctx = canvas.getContext('2d');
ctx.drawImage(bitmap, 0, 0, targetW, targetH);
const blob = await canvas.convertToBlob({ type: 'image/jpeg', quality: 0.8 });

Heavy text / JSON work — formatting, diffing, regex testing on large inputs can block the main thread. Move it into a Web Worker so the UI stays responsive:

const worker = new Worker('format.worker.js');
worker.postMessage(bigJsonString);
worker.onmessage = e => render(e.data);

Using OffscreenCanvas inside a worker means even the image work never touches the main thread.

Where the browser is not enough

Being honest about the limits matters:

  • Video / audio transcoding — possible with ffmpeg.wasm, but for large files it is slow and memory-hungry. I run these server-side with FFmpeg instead.
  • Office to PDF — needs a real rendering engine, so that goes through LibreOffice on the server.
  • OCR on scanned PDFs — heavy; better server-side.

For anything that does hit the server, the rule becomes: process, return, and delete the file automatically right after. No long-term storage.

Why bother

Three things I did not expect:

  1. It is cheaper. Client-side tools cost almost nothing to run, so they can stay free without ads-everywhere.
  2. It is faster for the common case — no upload/download latency on a 3 MB image.
  3. Users notice. Saying plainly "this file never leaves your browser" changed how people talked about the tool in feedback.

Takeaway

You do not need a backend for most file utilities. <canvas>, OffscreenCanvas, Web Workers and the File API cover a surprising amount. Push to the server only what genuinely needs it, and delete it immediately when you do.

Disclosure: I build and run Filuni, so this is the approach behind a real product, not just theory. Happy to answer questions about any specific tool in the comments.