I'm building a product catalog and need bulk image compression for thousands of photos

For a product catalog with thousands of photos, the best approach is a batch compression pipeline rather than compressing files one-by-one manually.

Recommended workflow

1. Pick your target format

   • JPEG/WebP for product photos
   • PNG only if you need transparency
   • AVIF/WebP if you want smaller files and your platform supports it

2. Set quality targets

   • Product images usually look good at:
     • JPEG quality: 70–85
     • WebP quality: 60–80
   • Resize oversized images first if they’re much larger than needed for display.

3. Use bulk processing

   • Run compression in a script or tool that can process folders recursively.
   • Preserve metadata only if needed; removing it reduces file size.

4. Optimize dimensions

   • Don’t store images larger than the maximum size you actually display.
   • Example: if your site shows images at 1200px max width, resize anything larger down to that.

5. Keep originals

   • Store uncompressed originals separately for reprocessing later.

Good tool options

• Command-line
  • jpegoptim, mozjpeg for JPEG
  • pngquant, oxipng for PNG
  • cwebp or ffmpeg/imagemagick for conversion
• Automation
  • Python with Pillow
  • Node.js with Sharp
  • Batch scripts for server-side processing

Example approach with Python

If you want, I can give you a script that:

• scans a folder recursively,
• resizes large images,
• compresses JPG/PNG,
• converts to WebP,
• and outputs optimized files into a new directory.

Best practice for product catalogs

• Use WebP with JPEG fallback for web
• Generate multiple sizes:
  • thumbnail
  • medium
  • large
• Automate this as part of your upload or import pipeline

If you want, I can provide:

1. a Python bulk compressor script,
2. a Node.js/Sharp version, or
3. a recommended production pipeline for your catalog.