Infrastructure costs and improving SEO are recurring challenges in the e-commerce industry. Image compression is also one of them, and Tinify's API has proven to be an effective solution.
TinyPNG uses smart lossy compression techniques to reduce the file size of your WEBP, JPEG and PNG files. By selectively decreasing the number of colors in the image, fewer bytes are required to store the data. The effect is nearly invisible but it makes a very large difference in file size!
Panda says: Excellent question! We frequently use PNG images but were frustrated with the load times. We created TinyPNG in our quest to make our websites faster and more fun to use with the best compression.
In 2014 we added intelligent compression for JPEG images and in 2016 we added support for animated PNG. Compressing images with the website is free for everyone and we like to keep it that way! If you like TinyPNG please contribute by making a donation
Our compression engine employs a smart algorithm to determine the best optimization levels tailored to each image's unique content, considering factors like colors, textures, and patterns. Unlike one-size-fits-all approaches, we understand that each image requires specific compression settings for optimal results.
Panda says: Excellent question! When you upload a JPEG file, the image is analyzed. Textures, patterns and colors are automatically identified. The encoder creates an optimally compressed JPEG file based on that information. The final result is compared with the original and fine-tuned. Distracting JPEG artifacts are minimized without big sacrifices in file size. Unnecessary metadata is stripped as well. You will get an optimal image, every time!
The TinyPNG compressor is a user-friendly tool designed for effortlessly minimizing the file size of your WebP, PNG, and JPG images. Simply drag and drop your pictures onto the web interface, and let our intelligent algorithm compress them for optimal results.
With Tinify's online optimizer, image conversion and compression are seamlessly combined into one powerful tool. Simply drag and drop your images onto the web interface, and watch as they are effortlessly converted to WebP, PNG, or JPEG. Our integrated features ensure a smooth workflow, delivering optimized images that are ready for your website.
On the other hand, Web Ultra is ideal for users desiring unlimited access to the web tool, allowing not only image compression but also the flexibility to convert images to different formats. Well-suited for those who require a comprehensive solution.
Likewise, you might have large images on your phone. These images could be taking up a lot of hard drive space and preventing you from taking more photos. Compressing them could free up more internal storage, fixing this problem.
Our tool uses lossy compression to shrink down image files. It supports three file types: PNG, JPG/JPEG, and GIF. This system intelligently analyzes uploaded images and reduces them to the smallest possible file size without negatively affecting the overall quality.
I have a survey that is used by community scientists, who need to upload photos, PDFs and excel files as part of the survey. The photos and attachments are frequently larger than 10MB. It's my understanding that ArcGIS online limits the size of attachments to feature layers to 10 MB, which limits the size of attachments that my volunteers can upload to my Survey123 form to 10MB.
At the moment, we are asking volunteers to compress their files prior to uploading them, but this is a barrier for community scientists, some of whom are not particularly tech savvy. I created the Survey in Survey123 Connect. Is there a way to set up the XLS form so that photo and file attachments would automatically be compressed when they are submitted, so that volunteers don't have to compress photos and files using a separate program prior to submitting them?
Although I'm not sure whether this only works for photos being captured within the form itself or if it also compresses images that are being attached but have been captured separately (i.e. in the camera app).
I would also really like to have a clear understanding from Glide about whether images uploaded by the user (my app images are 99% uploaded by user), are being compressed via Glide - I have heard that is the case directly from Glide team, but then there continues to be confusion about whether this is actually happening?
@TontonBill Regarding your image situation, are you uploading most of the images or are they user generated? As app maker, I compress all of mine using tinypng.com and it works very well - no storage problem.
I agree this is a pretty big issue, especially with the new crop of high resolution mobile phones !
The only current work-around is to tell users to first take a picture with their camera app, then choose that photo from their photo library, which (at least on iPhone) allows them to choose a down-sampled image at lower resolution.
When you upload an image via the Image Picker, it is stored exactly as you upload it. The compression/optimization happens when images are used in the app, and is done with all images, not just the ones uploaded via the Image Picker.
I have a bunch of videos in Google Photos and now I am approaching my 15GB limit. I have a few large videos that I want to keep, but wouldn't mind storing in a compressed version, but others I want to keep in higher quality. Is there a way to compress these individual videos?
Our compression tool is not only easy to use but completely safe. The server that operates the tool is fully automated, so no one sees the images you upload. Also, the server automatically purges all data after 60 minutes, so anything you upload will be deleted just an hour later. This keeps your data private and secure.
Bottom line - for simple compression I definitely recommend ImageOptim at the above settings.
For PDF compression you can use Optimage - rarely do you need to do a lot of PDF compression and therefore the free limit is enough.
I exported a LO Writer document with added PNG images (300dpi fullsize A4 image) to PDF with JPEG compression enabled, but filesize was always very high and the images were saved lossless inside the PDF file.
Then i converted the PNG files to JPEG (resolution untouched, quality 90%) and created the Writer document again with this JPEG files added. Now i exported the document again to PDF with JPEG compression enabled and now all worked like expected, also the JPEG quality option.
I always thought JPEG compression option inside the PDF export function is for all images, no matter what datatype they had at the time they were added to the document.
This means i always have to convert images to JPEG before i can add it to the document, if i later want to export a small PDF file.
JPG was designed by the Joint Photographic Experts Group specially for PHOTOS. It uses a lossy compression which sacrifices minor details, almost imperceptible to the eye, for a reduced file size. It is designed for, and ideal for, PHOTOS.
PNG was designed for GRAPHICS where adjacent pixels are likely to have the same [R,G,B] values. It uses a lossless compression which is almost useless for photos where there are few contiguous areas having the identical pixel [R,G,B] values so the PNG compression algorithm cannot compress them. A PNG file of a photo will be anything from 3x to 10x or more bigger than a JPG file.
The converse is true too. Using JPG for graphics is very bad as JPG compression adds artefacts to the image to assist in compressing it. These artefacts are imperceptible in a photo but they destroy quality in a graphics image
Many times I want to upload photos of myself to websites as profile photos or for other professional reasons. I have some examples but they're too large. Most of these sites ask for photos no larger than
Consider a 16x16 pixels image.
If we halve the size we end up with an 8x8 image. To achieve this compression, blocks of 2x2 pixels are blended together to give each resultant pixel. In over simple terms, each of the four source pixels might comprise 25% of the final output pixel.
Now consider resizing the original to 9x9 instead of 8x8. The source image doesn't fit evenly into the new size as 16/9 is not a whole number like 16/8=2. This means that some of the output pixels will be blended from parts of pixels rather than entire pixels. This is do-able but the result is less pleasing on the eye (edit: because we are not snapping to nice, clean, whole pixel boundaries - which is where changes in color occur).
Vector images draw their pixels using a series of mathematical commands. "Draw from A to B then to C and back to A" makes a triangle. If the ratio of distances between the drawing points is specified, the relationship between the points remains regardless of the image size. When asked to resize in vector terms we are asking the image to be redrawn on a smaller canvas not squishing a larger image into a smaller space.
I was wondering why this is the case: When I make a video of photo inside the Rocket Chat App and send it, it gets compressed. When I share a video from my iPhone Library with the Rocket Chat App, it does not get compressed and stays at the original size, which is very large. The same happens with videos.
The issue is, as explained above: When I share a picture or video by taking it from the Rocket.Chat App on my iPhone (by clicking on the + sign in a chat room, on the lower left), the media file (picture/video) gets compressed. That is what I want to keep bandwidth usage low.
On the other hand, when I share a media file (picture/video) from the iPhone Photos Galery App, by sharing it with the Rocket.Chat App, the media file does not get compressed. One single picture can easily comprise around 4mb - 5mb. Does anybody have a similar issue? Is the Rocket.Chat App on iOS capable of compressing media that is shared with the App (resp. trough the App) or do I have to enable this setting somewhere?