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5 most common mistakes in image optimization

5 most common mistakes in image optimization

 

In today’s digital world, website loading speed is critical for a successful business. One of the most important aspects of improving the performance of web resources is image optimization. However, even experienced marketers and developers often make mistakes that negatively affect the quality of visual content and page loading speed. Let’s take a look at the five most common image optimization mistakes and learn how modern tools like TypeIMG can help you avoid them.

  1. Using incorrect image formats
    Many website owners still use outdated formats that do not allow for optimal compression without losing quality. The use of such formats can lead to an excessive increase in file weight and a decrease in Core Web Vitals scores. A modern approach to image optimization involves switching to formats such as WebP, which can significantly reduce file size without noticeable loss of quality.
  2. Aggressive compression without analysis
    Often, image optimization is performed using standard compression methods that do not take into account the unique characteristics of each image. Aggressive compression can lead to compression artefacts, pixelation, and loss of detail. Intelligent solutions, such as TypeIMG technology, adapt the image optimization algorithm to the specific characteristics of the content, ensuring the perfect balance between reducing file weight and maintaining high quality.
  3. Ignoring the specifics of each image
    Successful image optimization cannot be based on one-size-fits-all settings. Each image has its own unique characteristics, and the approach to optimising it must be adaptive. Failure to take these features into account can lead to inefficient compression and reduced visual quality, which negatively affects the user experience. The use of intelligent algorithms allows you to automatically determine the optimal parameters for each file.
  4. Insufficient testing after optimization
    One of the most important mistakes is the lack of detailed testing of images after optimization. Without a thorough check, a situation may arise when images get compression artefacts or pixelation, which harms the visual perception of the content. TypeIMG Safe Mode feature performs a comparative analysis of images before and after optimization, allowing you to identify and eliminate possible defects, ensuring the impeccable quality of each file.
  5. Ignoring process automation
    Image optimization can become extremely time-consuming if you perform it manually for each individual file. The lack of batch uploads and image resizing options leads to inefficient use of time and resources. Modern tools such as TypeIMG offer batch uploads (up to 50 images at a time), as well as resizing and EXIF metadata management. This allows you to automate the image optimization process and maximise work efficiency.

Conclusion.
Image optimization is an integral part of modern web marketing and development. By avoiding common mistakes – from using incorrect formats to not automating the process – you can significantly improve website loading speed, increase performance, and provide a better user experience. Modern solutions such as TypeIMG allow you to apply an intelligent approach to image optimization, which guarantees high quality of each file and efficient use of resources. Implement modern image optimization technologies and gain a competitive edge in the digital environment.

 

 

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