Auto Quality powered by ML (Machine Learning)
By default, Optimole compresses the images on your website, and it uses Machine Learning algorithms to detect how to get the smallest possible size with minimum perceived quality losses. In case you feel this automatic process doesn't suit your needs, it is possible to disable it and manually set the level of compression/image quality you're okay with.
Enable the Feature |
User Site and Image Impact |
Use Cases |
Benefits and Trade-offs |
Useful Resources |
🔌 Enable the Feature
To enable this feature, navigate to WP Dashboard > Optimole.
- 1
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Open the Settings tab.
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Expand the Advanced accordion and open the Compression panel.
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Use the toggle to enable Auto Quality powered by ML feature.
🚀 User Site and Image Impact
At the bottom, a dial lets you toggle through the compression levels. As soon as you move that dial in any direction, Optimole will show you a preview based on an image taken from your site's media library.
A higher compression might result in a small loss of image quality. Selecting the auto level will let Optimole choose the minimum size with no loss in the quality of your picture.
- Quality = 100 (above High)
- Quality = 75 (Medium)
- Quality = 55 (Low)
- Auto-Quality powered by Machine Learning
You can determine the image quality by inspecting the image URL and looking for the q:<value> parameter. If the feature is toggled on, the parameter becomes q:mauto.
If not, according to the quality level that you added, it will display that value, e.g. q:75.
🔄 Benefits and Trade-offs
Benefits
- Efficiency - ML automation saves time by optimizing image quality without manual adjustments, simplifying the process.
- Hands-Off management - once the feature is enabled, the ML algorithms will handle image quality optimization without the need to micromanage individual images.
- Optimized image quality - ML algorithms predict the optimal quality for your images. This means that the images are compressed to the smallest size possible while maintaining an acceptable level of quality.
Trade-offs
- Loss of manual control - by relying on automated ML algorithms, you give up the ability to manually control the quality of each image.
- Quality perception variability - automated algorithms might not always perfectly match human judgment.
🧩 Use Cases
The
- E-commerce Websites
- Blogs and Content Websites
- Portfolio Websites
- News Website
- Business Websites
- Mobile Apps
- Forums and Community Websites
- Educational Platforms
- Non-Profit and Charity Websites
- Travel and Tourism Websites
🗂Useful Resources
You may find useful these guides:
- Mobile Website Speed Test Didn’t Go Well? Here Are 10 Ways to Improve Mobile Page Speed
- Does WordPress Site Speed Really Matter for SEO?
Still looking for an answer? Contact us!