As web developers and technical founders, we all know the pain: product catalogs with hundreds (or thousands) of heavy JPGs and PNGs killing page speed, Core Web Vitals scores, and ultimately SEO and conversion rates.
While tools like Squoosh, ImageOptim, or custom scripts work great for small jobs, they quickly become painful when you need to process large batches, handle Excel exports from Shopify/Daraz, or generate platform-specific sizes on the fly.
I recently tried BatchSet.com and found it to be a refreshingly straightforward all-in-one solution for these exact problems.
What stands out technically:
- Strong bulk WebP conversion — It handles 500+ images smoothly with good compression (they claim 60-80% reduction). The browser-first processing is nice for privacy and speed on smaller batches.
- Excel/URL batch mode — Super useful for e-commerce. You can export your product images from Shopify, paste the URLs, and get optimized versions back — no manual downloading/uploading hell.
- Social Media Resizer with 28 presets — Saves a ton of time when creating assets for Instagram, LinkedIn, TikTok, etc.
- Bonus tools in the same dashboard: QR code generator (with analytics), URL shortener, barcode generator, and PDF ↔ Image conversion.
The interface is clean and purpose-built rather than overly design-heavy. The free tier is actually usable (unlimited basic conversions without signup), which is rare these days. Pro plans unlock HEIC/TIFF support, larger file sizes, priority processing, and more credits.
Room for growth:
Being a relatively new tool, it’s still maturing. Advanced automation (API access), more granular compression controls, and deeper integrations (e.g., direct Shopify app) would make it even stronger for developer workflows.
Overall verdict: If you’re a solo developer, indie hacker, or part of an e-commerce team that regularly fights with image optimization, BatchSet is worth adding to your toolkit. It’s not trying to be everything (like a full asset CDN), but it solves the “bulk optimize and resize fast” problem very effectively.
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