Photo Compress And Resize App Download

Using this free online service, you can resize, compress and optimize your image files. Using the service is as easy as clicking of button! Optimized images are better! They are more suitable for web pages, email attachments, or even storage on your disk. Give it a try now!

I tested a second, larger image I received through messaging: 3468x4624 @7.9mb went to 2304x3072 @1mb through Signal. I tested a 3rd image, 2848x1602 @1.6mb which did not get resized but did get compressed down to 480kb.

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I'm not expecting to send massive pictures (or videos), but even a 1mb image from my Android's default messaging app is getting resized and compressed and is lower quality. I know I can rename a file (remove the extension) to send as-is, but this requires renaming by both the sender and receiver and also prevents a thumbnail from being displayed.

I would really appreciate this feature because for my work i often have to send multiple images from my smartphone camera by email. But they are way too large and i have to compress them externally before sending, which is quite some time consuming.

Hello can anyone help me Id like to compress images that my app users share because some images are like 10mb so Id like to compress them but Im using pick files to pick the images from the library (the backend is firebase)

Can anyone help me configuring it?

No matter what you do, compression always happens last. This is because compression is inherent in the saving of the image, and it is impractical to try to work with the image in its compressed form; you virtually always uncompress it in order to work with the image itself, and not simply pass the file around.

So, if you compress, then resize, the sequence of steps is compress->uncompress->resize->compress. If you are using a "lossless" compressed image format, like PNG, you're wasting time on the initial two steps because nothing will change, and you might as well just resize, then compress.

Where this might have a difference is when using "lossy" compression algorithms like JPEG. "Lossy" formats use similar algorithms to actually compress the data of the image as lossless ones, but they incorporate an additional step of simplification; the image is processed to produce (hopefully) subtle changes in the actual pixels, which allows the entire image to be digested more efficiently by the compression algorithm (usually, blocks of pixels are made more similar, so that the entire block can be represented by one or two bytes of "hash" which is then cross-referenced in a metadata dictionary and the hash substituted for the block where it occurs). This simplification is one-way; you can't "un-simplify" the processed image to get the original one back, and so the sequence of steps for a compress and then resize is simplify->compress->uncompress->resize->simplify->compress. The simplification step happens twice, affecting the image before and after resizing. Whether this actually results in a smaller file size depends on the exact image and the quality settings used to apply the simplification filter.

The code works fine when run in the simulator and uploading a file from the simulator's photo library because I'm on a fast ethernet connection. However, the same code times out on the iPhone when selecting an image taken with the iPhone. So, I tried it by saving a small image from the web and attempting to upload that, which worked.

for the record, the solution I've found the easiest was to load whatever image the user selected in a html5 canvas and convert it to jpeg, then upload the jpeg and in the backend I would resize it using a node imagemagick package.

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.

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.

In my app I'm taking a photo for proof of delivery. I want to submit the photo to our backend, but before submitting, I'd like to resize the image.

I've noticed that when using the builtin options, my resized and compressed image is larger then the original one.

I just recently opened up my Etsy shop, and its going fine so far. Made my first sale today and I added a bunch of new listings as well. However I am scratching my head a little bit about the listing photos.

I am a hobby photographer (mostly landscape, not much into product photography before). When I looked up Etsy's Photo requirements before making product shots, it said 2000 pixels on the short side is recommended. I checked the actual photo size on the listings as they are displayed in the browser. They were all 1140 pixels wide for landscape images. Great! I thought, going to make my images exactly 1140 pixels wide to avoid any automatic compressing/resizing. -> So the customer sees the image exactly as I uploaded it.

So I resized all my product photos down to 1140 px on the wide side with compression setting of 90%. The resulting pictures were crisp clear while still having small file sizes. (100-110 KB) More than 1140 pixels wide is not really necessary. They were taken with professional equipment and I vouch that they really are crystal clear and free of visible artifacts!

After uploading I noticed that they are all mushy-mushy when viewing the listing. A far cry from the pristine pictures I exported after editing! So I downloaded one product image and lo and behold, it has the exact same resolution than the original I uploaded, but it was compressed down to 75% instead of my original 90%.

So to resume, Etsy will take the image, compress it down to 75% and then show a sized up version if a user clicks on zoom. This will of course aggravate the mushyness and make any existing artifacts worse.

I will give it a try with a higher resolution photo and see what I can come up with. My basic idea was to avoid having super large and heavy images but if Etsy will size them up regardless, I can upload big ones in the first place.

Etsy recommends listing images to be at least 2000px wide. Their system stores the master image at up to 3000px square, larger images are automatically resized to fit this when uploaded. Images smaller than 2000px may need to be upscaled for display on certain devices.

I went through our shop photos recently updating many old 800px and 1000px wide images to 3000px wide images. I didn't see much difference between old and new images on a 24 inch 1920x1200px monitor, even on the zoomed in full page display. The improved quality from a bigger image size is likely to be more noticeable on a 4k monitor. The biggest difference that I noticed was the pages now take longer to load. e24fc04721