You already have lots of unoptimized images? Not a problem, you will love the Bulk Optimizer to optimize all your existing images in one click. With the backup option, you can change your mind whenever you want by restoring your images to their original version or optimize them to another image compression level.
For each image you optimize with the Imagify plugin, you will also get its WebP version if you tick the option in the settings ; in your Media library, this will result in the following image versions: — full-sized optimized image, — full-sized WebP image, — optimized thumbnails, — WebP thumbnails. If you keep a backup copy of the original images, you have the possibility to create their WebP version separately one by one or via the bulk optimization feature.
Imagify does just that! After enabling Imagify, all your images, including thumbnails, will be automatically optimized when uploaded into WordPress. By reducing the weight of your images without sacrificing their quality!
You can also convert to the next-gen WebP format for free. Need to compress more images? It is recommended to test the following metrics before and after the image optimization:. Imagify is an extremely powerful image optimizer: our advanced compressing algorithm will reduce the weight of your images without sacrificing their quality.
Imagify is also super easy to use. Thanks to its intuitive design, you can easily get familiar with the interface and services without thinking about it. And our dedicated customer support will help you fix any issue with your image optimizing process.
Support is available via contact form, either on our website, or directly on your Imagify plugin settings page. You can use Imagify on as many websites as you wish. Your image optimization quota will be shared evenly across all of the websites. If you need more control over how your Imagify subscription is used, you should create sub-accounts to allocate a quota for each. This means there is no loss of image quality. Aggressive and Ultra compression are more powerful, so the picture quality will be somewhat reduced.
The weight of the image will be much less. We recommend Aggressive as the best balanced level that reduces the size but does not affect the quality. It would be best, however, to test the 3 levels of compression on a smaller amount of images and see how it affects the quality of your image. Once you see which one suits your needs, you can easily run the others via Bulk optimization or Media Library page.
The image optimization process is performed on our servers. Once done, Imagify returns the optimized image to your server. Your original images will be moved to a dedicated backup folder just make sure to keep the Backup option active in Imagify settings. Once your images have been optimized via the WP plugin, they stay on your end forever even if you delete the Imagify account.
During the optimization process, images sent via the API or WordPress plugin are stored for one hour on our server they are already sent back to your site and stay there safely. Using the online application, images are stored for 24 hours with a free account and for unlimited time if you have a paid subscription. Yes, as long as the Backup option is active in Imagify settings it is active by default when you activate the WP Plugin.
Yes, your images will stay compressed even after removing Imagify and even after you delete your Imagify account. Do not waste your time resizing and optimizing your images in Photoshop. Imagify takes care of everything! By default EXIF data is removed. It is possible to keep it with the WordPress plugin by enabling the option in the Imagify Settings page.
Most of the time, Imagify will still be able to optimize your images even if you have already compressed them with another tool. Imagify automatically replaces the images with an optimized image. The backup option allows you to keep the original images and restore them with one click.
By activating the backup option in the plugin, you can re-optimize each image with a different image compression level. When the plugin is disabled, your existing images remain optimized. Backups of the original images are still available if you have enabled the images backup option. Yes, the Imagify team offers full email support for image optimization questions. We answer every email so you can expect the answer from us within 24h max unless during the weekends.
However, you get 20MB of quota per month for free to optimize your images around images. The following people have contributed to this plugin. Thank you to the translators for their contributions. Pricing Help. Drop Files here Choose File. Enter URL. Please try again later! Please enter the password with the correct permission.
Best Quality No visual difference. Smallest File Tiny file size. For more information about selecting the correct image format to improve download speed, see Reduce image download sizes. You can convert individual images or folders of images. To convert an image or folder of images, proceed as follows:.
Select either lossy or lossless encoding. Lossless encoding is only available if your minSdkVersion is set to 18 or higher. If you select lossy encoding, set the encoding quality, and choose whether or not to view a preview of each converted image before saving. You can also choose to skip converting any files where the encoded version would be larger than the original, or any files with transparency or an alpha channel.
Note: 9-patch files cannot be converted to WebP images. The converter tool always automatically skips 9-patch images.
Click OK to begin the conversion. If you are converting more than one image, the conversion is a single step, and can be undone to revert all the images you converted at once. For a given group, all colors in that group are replaced by a single center point value, which minimizes error for colors in that cell or "site" if you're using the Voronoi terminology.
In Figure 3, the green dots represent input colors, and the red dots are the center points that replace the input colors. Each cell is bounded by blue lines. The result of applying VQ to an image reduces the number of unique colors, replacing each group of colors with a single color that's "pretty close" in visual quality.
This technique also allows you to define the maximum number of unique colors in your image. For example, Figure 4 shows the a parrot head in Immediately, you can see that there's a loss of quality; most of the gradient colors have been replaced, imparting a banding effect to the image. This image needs more than 16 unique colors. Setting up a VQ step in your pipeline can help you get a better sense of the true number of unique colors that your image uses, and can help you reduce them significantly.
There are a number of readily available tools that you can use to help you implement this technique. If you are using JPG images, there are several small changes you can make that potentially provide significant file-size savings.
These include:. When choosing tools, remember that photo exporting tools can insert unnecessary metadata, such as GPS information, into your images. At a minimum, try to leverage existing tools to help strip out this information from your files. WebP is a newer image format supported from Android 4. This format provides superior lossless and lossy compression for images on the web.
Using WebP, developers can create smaller, richer images. For more information about WebP, visit the WebP site. Different image formats are suitable for different types of images. Figure 5 shows two images that come out quite differently depending on which compression scheme the developer applies.
The image on the left has many small details, and thus compresses more efficiently with JPG. The image on the right, with runs of the same color, compresses more efficiently with PNG. The only thing to keep in mind is that it only has native support on devices running Android 4.
Fortunately, the large majority of devices satisfy that requirement. There are several techniques you can use to achieve the right balance between compression and image quality. The other technique takes advantage of the Butteraugli library, and is usable for all image formats.
The power of JPG and WebP comes from the fact that you can use a scalar value to balance quality against file size. The trick is finding out what the correct quality value is for your image. Too low a quality level produces a small file at the cost of image quality.
Too high a quality level increases file size without providing a noticeable benefit to the user. The most straightforward solution is to pick some non-maximum value, and use that value.
However, be aware that the quality value affects every image differently. You should make sure to test your chosen maximum value against a representative sample of images.
Also, make sure to perform all of your tests against the original images, and not on compressed versions. For large media applications that upload and re-send millions of JPGs a day, hand-tuning for each asset is impractical. You might address this challenge by specifying several different quality levels, according to image category.
The Butteraugli project is a library to test an image's Psychovisual Error Threshold: the point at which a viewer starts to notice image degradation. In other words, this project attempts to quantify how distorted your compressed image is. You can then choose the image that is the best balance of file size and Butteraugli level.
Butteraugli allows you to proceed based on either output or input. That is, you can look for the lowest quality setting before a user perceives noticeable distortion in the resulting image, or you can iteratively set image-distortion levels to learn their associated quality levels.
It is tempting to keep only a single resolution of an image on a server. When a device accesses the image, the server serves it at that one resolution and leaves downscaling to the device. This solution is convenient for the developer, but potentially painful for the user, because the solution forces the user to download much more data than they need.
You should instead store multiple sizes of images, and serve the size that is most appropriate for a particular use case. For example, for a thumbnail, serving an actual thumbnail image instead of serving and downscaling a full-size version consumes much less network bandwidth.
This approach is good for download speed, and is less costly for users who may be using limited or metered data plans. Proceeding like this also results in the image's taking less space on the device and in main memory. In the case of large images, such as 4K ones, this approach also saves the device from having to resize images before loading them. Implementing this approach requires that you have a backend image service to provide images at various resolutions with proper caching.
There are existing services that can provide help with this task. For example, App Engine comes with image resizing functionality already installed. Content and code samples on this page are subject to the licenses described in the Content License.
App Basics. You can get several types of errors when converting. First of all, carefully read their content. For the most part, you can solve this problem yourself. Try to do this or contact the server administrator. Please check file path. Check this path and make sure it is correct. Please check file permissions. Check the permissions for the file and the directory in which the file is located.
Download the file to disk, save it again using any graphics program and add again to the page. If the error applies to individual images then you can ignore it — just the original images will load, not WebP. This happens when images have been compressed before. In the case of the above problems, contacting the support forum will be useless. Unfortunately, we are unable to help you if your files are damaged.
You have to fix it yourself. If you have previously used other tools that changed the original files and damaged them, you will do nothing more. Please try to disable all other plugins and set the default theme to make sure that it is not one of them that causes these types of problems. Practically every hosting meets these requirements. You must use PHP at least 7. The extension must support WebP format. If you have an error saying that the GD or Imagick library are not installed, but you have it installed then they are probably incorrectly configured and do not have WebP support.
An example of the correct server configuration can be found here. Note the items marked in red. If the values marked in red do not appear in your case, it means that your server does not meet the technical requirements. In a situation where your server does not meet the technical requirements, please contact your server Administrator. We are not able to help you. Please do not contact us about this matter, because this is a server configuration problem, not a plugin.
If you have a problem with it, please contact the Developer who created your website. Please remember that in default loading mode via. WebP is only used when loading a image on a website. In default loading mode via. That is why the plugin should be tested in Dev Tools. If the Type of file is WebP , then everything is working properly. You can also turn off the plugin for a moment and check the weight of your website, then turn it on and test again.
The difference should be visible. The operation of the plugin for non-advanced users may sometimes be less understood, but everything is fine. Thanks to this, regardless of whether your browser supports WebP or not, everything works without problems. Therefore, check the plugin settings and try converting all images again. If the converted image in WebP format is larger than the original, the browser will use the original file.
This converted file will be deleted. Therefore, you can also see files other than WebP on the list. When this happens, you will receive information in debug. When such a situation occurs, a file in. This avoids re-converting images that were larger than original after converting to WebP.
0コメント