Compress Images
Reduce the file size of JPG, PNG, WEBP and GIF images. Just upload and we handle the rest.
Select images
or drag and drop them here
JPG, PNG, WEBP, GIF, AVIF. Up to 50 MB each. Max 30 files.
You can also paste an image directly with Ctrl+V / Cmd+V
JPG, PNG, WEBP, GIF
All formats
Up to 30 files
Batch compress
No sign-up
Free forever
Files never stored
100% private
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Image compressor
Compress images online, free
Reduce the file size of JPG, PNG, WEBP and AVIF images without a noticeable drop in quality. Up to 30 images at once, 50 MB each, compressed automatically — no sign-up, no software, and nothing kept afterwards.
Oversized images are one of the most common reasons pages load slowly, emails bounce and phones run out of room. Compressing an image cuts its file size while keeping it visually close to the original, so it is faster to upload, send and display. Below: how compression actually works, which approach fits which job, and the mistakes worth avoiding.
The basics
What is image compression?
Compression reduces a file's size by removing or restructuring data that is not essential to how the image looks. The pixels you see stay the same size on screen — only the way they are stored changes.
There are two underlying approaches. Lossy compression permanently discards some data to reach a much smaller file. Lossless compression rearranges data more efficiently without throwing any of it away. Almost all everyday compression — web, email, social — is lossy, because the loss is invisible at normal viewing sizes while the saving is not.
Compression is not resizing.It does not change an image's width or height in pixels. It changes how efficiently those pixels are stored. The two are compared further down this page.
Why bother
What compression actually buys you
Faster pages, less storage, easier sharing — without resizing or cropping the image itself.
Website speed
Images are usually the heaviest thing on a page. Smaller files mean faster loads, which shows up in both how the site feels and how it is measured.
SEO and Core Web Vitals
Largest Contentful Paint is very often an image. Compressing the images above the fold is one of the most direct ways to move that number.
Storage
Smaller files take less room on a phone, a laptop, or a cloud plan you are paying for by the gigabyte.
Most providers cap attachments around 25 MB in total. Compressing lets you keep every photo in the email instead of dropping some.
Social and messaging
Platforms re-compress whatever you upload. Handing them an already-optimised file usually survives that pass better than handing them a huge one.
Bandwidth
For anyone on mobile data or a slow connection, a smaller image is the difference between the page arriving and the reader leaving.
Scale
A catalogue, portfolio or blog with hundreds of images compounds: consistent compression across the whole set is worth far more than one perfect image.
How to use it
Three steps
- 1
Add your images
Drag and drop, paste with Ctrl+V (Cmd+V on Mac), or pick them manually. Up to 30 images at once, each up to 50 MB.
- 2
Compression runs automatically
There is no quality slider to get wrong. Every image is re-encoded at a high-quality setting, and the result is checked before it is returned to you.
- 3
Download
Save each compressed image on its own, or take the whole batch as one ZIP. Each file shows its before and after size and the percentage saved.
Formats
What compresses well, and what does not
Each of these is compressed in its own format, so a PNG comes back a PNG and a WEBP comes back a WEBP.
JPG (JPEG)
Compresses bestBuilt around lossy compression, so it is designed for exactly this. Photographs shrink the most here, with the least visible change.
- Use it for
- Photographs for the web, email and general sharing.
- Watch out
- No transparency. Re-compressing the same JPG repeatedly degrades it a little each time.
PNG
Quantised, not losslessPNG the format is lossless, but this tool re-encodes it with palette quantisation — that is the setting that actually trades PNG fidelity for bytes. Transparency is preserved.
- Use it for
- Logos, icons, screenshots, anything with flat colour, text or sharp edges.
- Watch out
- A photograph saved as PNG stays large even after compression. Converting it to JPG or WEBP first saves far more.
WEBP
Compresses wellA modern format supporting lossy and lossless compression, transparency and animation. At matching visual quality it is normally smaller than JPG or PNG.
- Use it for
- Web images where page speed is the point.
- Watch out
- Very old browsers and some legacy desktop software still do not read it.
AVIF
Smallest outputUsually the most efficient of the four, often beating WEBP at comparable quality. Supports transparency and a wide colour range.
- Use it for
- Modern sites where you control the delivery and want the smallest bytes.
- Watch out
- Encoding is slower than the others, and support in older software is thinner.
About GIFs.A GIF upload is accepted, but it is currently re-encoded as a JPG rather than kept as a GIF — which means an animation becomes a single still frame and transparency is lost. If you need the file to stay a GIF, don't compress it here.
Lossy vs lossless
Two ways to make a file smaller
Lossy discards data to get a much smaller file. Lossless keeps every byte and saves less. Which one is right depends on whether size or exactness matters more for that particular image.
| Lossy | Lossless | |
|---|---|---|
| File size reduction | Larger reduction | Smaller reduction |
| Data loss | Some data permanently removed | No data removed |
| Best for | Photographs, web images | Graphics, logos, screenshots, archives |
| Common formats | JPG, lossy WEBP, lossy AVIF | PNG, lossless WEBP, GIF |
| Repeated compression | Degrades a little each pass | Stays identical |
| Typical use | Websites, email, social media | Print-ready files, source files |
The rule of thumb: lossy for photographs, where small imperfections are invisible; lossless when every pixel has to survive exactly — text-heavy graphics, or a master file you intend to edit again later.
Compression vs resizing
Related problems, different tools
Compression
Same number of pixels, stored more efficiently. The image keeps its width and height.
Resizing
Fewer pixels. The image's actual dimensions change, and the data for the removed pixels is gone.
A worked example
A 4000×3000 photograph displayed at 800×600 on a page is wasting bandwidth on roughly 25 times more pixel data than anyone will ever see. Resizing to 800×600 deletes that surplus outright. Compressing afterwards then squeezes what is left. Compression alone would still be sending all 12 million pixels.
For almost every web use case: resize first, compress second.
Open the resizerChoosing an approach
Best approach by use case
| Use case | Recommended | Why |
|---|---|---|
| Website images | WEBP or AVIF, compressed | Smallest bytes at good quality; moves page-speed metrics directly |
| Blog post images | JPG or WEBP, compressed | Balances quality against load time on content-heavy pages |
| Email attachments | JPG, compressed | Keeps the total under the provider's cap |
| Social media uploads | JPG or PNG, compressed first | Starting smaller survives the platform's own re-compression better |
| Presentations | PNG for diagrams, JPG for photos | Keeps text and lines sharp while controlling deck size |
| Word / PDF embeds | JPG, compressed | Cuts the document's overall size sharply |
| Printing | Minimal or no compression | Print quality depends on retaining maximum detail |
Quality
Does compressing reduce quality?
At the level this tool uses, the difference is not something you will spot at normal viewing sizes. Lossy encoding deliberately drops the data that contributes least to what the eye actually picks up. Push it much harder and you start to see blurring or blockiness, particularly around fine detail and sharp colour transitions — which is exactly why there is no slider here to push.
The bigger risk is not one pass, it is many. Every lossy re-save discards more on top of what was already lost, so a file that has been through four tools looks worse than the same image compressed once from its original. Compress once, from the best source you have.
You will never get back something bigger. If re-encoding would produce a larger file than you uploaded — which genuinely happens with already-optimised images — the original bytes are returned instead, and the result is labelled “already fully compressed” rather than showing a fake saving.
Why this one
What you get
Nothing to configure
No quality slider to second-guess. One high-quality setting is applied to every image, and the output is only kept if it actually beat the original.
Batch of 30
Prepare a whole blog post, product catalogue or portfolio in one pass, with a per-file progress bar and a single ZIP at the end.
50 MB per file
High-resolution photographs, scans and large graphics go straight in without being shrunk first.
Files are never stored
Each image is re-encoded in memory and returned in the same request. Nothing is written to disk or saved to a database.
Drag, drop or paste
Add files however is fastest, including pasting a screenshot straight from the clipboard with Ctrl+V or Cmd+V.
Free, no sign-up
No account, no email, no watermark, no trial that expires.
Privacy & security
What happens to your files
Each image is uploaded over an encrypted HTTPS connection, decoded and re-encoded in memory, and handed straight back in the same request. It is never written to disk, never saved to a database and never queued for later. Once the response is sent, nothing about it remains.
No account is required, so a compression is not attached to an identity. That matters if the images are internal documents, unpublished designs, scans or anything else you would rather not leave sitting on someone else's infrastructure.
Encrypted in transit
HTTPS end to end
Nothing retained
Discarded after the response
Never written to disk
Held in memory only
Full detail is in the privacy policy.
Troubleshooting
Common compression problems
A photograph saved as PNG
PNG is the wrong container for photographic content — it will stay large no matter how hard it is compressed. Convert it to JPG or WEBP and the same image drops dramatically.
Use the converterRe-compressing an already-squeezed JPG
If a file has already been through aggressive lossy compression, another pass buys almost nothing and can add visible artefacts. Always start from the best original you still have.
Visible quality loss
Usually means the image had already been compressed several times before it got here. One pass from a high-quality original is the case this tool is tuned for.
The wrong format for the content
JPG for a graphic that needs transparency, or PNG for a large photograph, are the two common mismatches. Match the format to the content first, then compress.
The file or batch is too big
Anything over 50 MB, or a batch over 30 images, is refused. Split the batch, or resize an unusually large image before compressing it.
Resize firstThe result is the same size as the original
That is deliberate. If re-encoding would produce a bigger file than you uploaded, the original bytes are returned untouched and the result is marked "already fully compressed" rather than showing a fake saving.
Best practice
Getting the most out of compression
- Start from the highest-quality original you have — compression cannot restore detail that is already gone.
- Resize to the dimensions the image will actually be displayed at, then compress. In that order.
- Match the format to the content: JPG for photos, PNG for transparency and text, WEBP or AVIF for general web use.
- Avoid running the same lossy file through compression repeatedly across different tools.
- For print, skip aggressive compression entirely — detail matters more than bytes there.
- Keep one format and one approach across a whole set, so a gallery or catalogue behaves predictably.
- In WordPress, compress before uploading to the media library rather than relying only on a plugin.
- For e-commerce, compress product photos before bulk upload — catalogue pages benefit the most.
FAQ
Frequently asked questions
What is the best way to compress an image without losing quality?
Start from a high-quality original and compress it once. Most visible quality loss comes from an image being compressed repeatedly across different tools, not from a single well-judged pass.
Is this image compressor free?
Yes, and there is no account, email or sign-up of any kind.
How many images can I compress at once?
Up to 30 in one batch. They are processed one after another with a progress bar, and you can download them individually or as a single ZIP.
What is the maximum file size?
Each file can be up to 50 MB, which covers high-resolution photographs, scans and large graphics without pre-shrinking them.
Which formats can I compress?
JPG, PNG, WEBP and AVIF are compressed in their own format. A GIF is accepted, but it is currently re-encoded as a JPG rather than kept as a GIF — so use the converter if you need the file to stay a GIF.
Will compressing change the image's dimensions?
No. Compression changes how the pixel data is stored, not how many pixels there are. Resizing is a separate operation with its own tool.
What's the difference between compression and resizing?
Compression reduces file size by storing the same pixels more efficiently. Resizing reduces file size by having fewer pixels. Doing both — resize first, then compress — gives the smallest result.
Does compressing a PNG remove transparency?
No. The alpha channel is preserved. What does change is colour depth: PNGs are re-encoded with palette quantisation, which is what makes them meaningfully smaller.
Why is my JPG still large after compression?
Very high-resolution or highly detailed photographs simply contain more data to encode. If the image is far larger than the size it will be displayed at, resizing it first will do more than compression alone.
Is AVIF better than WEBP?
AVIF usually reaches a smaller file at similar visual quality, but WEBP has broader support in older software and encodes faster. For most current websites either is a solid choice.
Are my images stored after compressing?
No. Each image is decoded and re-encoded in memory and returned in the same request. Nothing is written to disk or saved to a database.
Can I compress images in bulk for my website?
Yes — 30 files per batch, downloaded together as a ZIP, which is designed for exactly this: preparing a set of blog or product images in one pass.
How do I add images?
Drag and drop them, paste from the clipboard with Ctrl+V (Cmd+V on Mac), or click to browse. Ctrl+Enter starts the compression and Ctrl+D downloads the results.
Does compression affect SEO?
Indirectly. Smaller images load faster, and load speed — Largest Contentful Paint in particular — is part of Google's page experience signals. Compression does not affect rankings on its own.
Should I compress before or after resizing?
Resize first, then compress. Compressing before resizing spends effort encoding pixel data that the resize is about to throw away.
Can compression fix a blurry or low-quality image?
No. Compression only reduces file size. It cannot add sharpness or detail that is not already in the image — the upscaler is the closest tool for that, and even it is working from what is there.
What happens if I compress the same image several times?
With lossy formats each pass discards a little more. That is why one pass from the best original beats several passes from a file that has already been through the mill.
Is PNG or JPG better for compression?
It depends on the content, not on which is better overall. JPG compresses photographs far smaller; PNG suits graphics with transparency or sharp text, and its files stay larger.
Can I compress screenshots?
Yes. Screenshots are usually best left as PNG so the text stays crisp, and they still get noticeably smaller.
Why do some images compress much more than others?
Fine detail, noise and many distinct colours are expensive to encode; large flat areas of colour are cheap. A busy photograph will always shrink less than a simple graphic of the same dimensions.
Is there a quality setting I need to choose?
No. A single high-quality setting is applied to every image, and the result is only kept if it is actually smaller than what you uploaded. There is nothing to configure.
Something not covered? There are more answers on the FAQ page, or you can contact support.
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