I built a free browser-based image & video toolkit with 23+ tools. Everything runs client-side, nothing gets uploaded.

Hey IH 👋

I built PixPipe (https://pixpipe.app), a free image and video processing toolkit that runs entirely in the browser.

The problem: Online sellers need to resize, compress, strip metadata, and prep listing photos across multiple platforms. Most tools require uploading to third-party servers. Creators working with AI-generated images need watermark removal, upscaling, and format conversion. And almost nobody realizes their listing photos contain GPS coordinates that expose their home address.

What PixPipe does (23+ tools):

Image tools:

• Compress images with exact target file size
• AI upscale (4x with Real-ESRGAN)
• AI background removal (on-device)
• Remove Gemini AI watermarks (reverse alpha blending)
• Strip EXIF/GPS metadata (batch)
• Photo privacy scanner
• Format conversion, social media resizing, color palette extraction
• Add text watermarks, image to PDF, ID photo maker

Video tools:

• Compress MP4/MOV/WebM
• Trim videos (stream copy, no re-encoding)
• Video to GIF
• AI transcription in 90+ languages

Marketplace-specific:

• One-click marketplace photo prep (resize + strip location + compress)
• Sizing guides for 20+ platforms (Poshmark, eBay, Etsy, Depop, Mercari, Vinted, Amazon, Shopify)

Everything runs client-side. Canvas API, WebAssembly, ONNX Runtime, Web Workers. No backend, no accounts, no tracking.

Stack: Next.js 14 (App Router, SSG), Cloudflare Pages, browser-based processing

SEO approach: 40+ blog posts, 23 platform sizing guides, 20 competitor comparison pages. All server-rendered with JSON-LD structured data. Bilingual (EN/ZH).

Would love feedback. What would make you switch from TinyPNG or iLoveIMG?