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Soluzione

Compress WooCommerce images locally in your browser

WooCommerce stores often suffer from unoptimized product images that inflate page weight. ConV lets you prepare images before uploading โ€” no plugin, no API, no server-side processing.

No uploadsLocal WASMEXIF/GPSWebP & AVIF

Compress images to WebP or AVIF locally, export as ZIP, and upload to your WordPress/WooCommerce media library. Your product images are optimized before they enter your CMS.

Works for individual product photos, category banners, and entire catalog batches.

Vantaggi principali

  • No WooCommerce plugin required โ€” works before upload
  • WebP and AVIF output for faster WooCommerce product pages
  • Batch process entire product catalogs
  • Unreleased product images never exposed to a cloud API

Casi d'uso comuni

  • WooCommerce store owners preparing product image batches
  • WordPress/WooCommerce agencies managing client catalogs
  • E-commerce teams improving page speed for product listing pages
  • Dropshippers cleaning up supplier images

Come funziona

  1. 01

    Drop product images into ConV

  2. 02

    Select WebP or AVIF output; adjust quality

  3. 03

    Download ZIP

  4. 04

    Upload to WordPress media library โ€” images are pre-optimized

Limitazioni e aspettative realistiche

ConV does not integrate with WooCommerce or WordPress APIs directly. Optimized files must be uploaded manually to your media library.

Domande frequenti

Do I need a WooCommerce plugin to use ConV?

No. ConV runs in your browser. Optimize images before uploading to WordPress โ€” no plugin needed.

Is WebP supported by WooCommerce?

WordPress and WooCommerce serve WebP to browsers that support it. Modern themes handle WebP natively.

What compression quality should I use for WooCommerce?

WebP quality 80โ€“85 is a good default for product photos. Adjust based on your visual quality requirements.

Can ConV handle large WooCommerce catalog batches?

ConV Pro supports unlimited images per session, making it suitable for large catalog optimization runs.

Soluzioni correlate

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