The Squoosh Alternative That Batches Entire Folders
Squoosh is great for one image at a time in a browser tab. TinyPixels is a native Mac and Windows app that compresses and converts thousands of images at once — no re-uploading, no repeated manual steps.
TinyPixels vs Squoosh
Both run compression locally — the difference is workflow and scale
| Feature | TinyPixels | Squoosh |
|---|---|---|
| Batch / folder processing | ✅ Unlimited | ❌ One file at a time |
| Native desktop app | ✅ macOS & Windows | ❌ Browser only |
| Folder watch automation | ✅ Yes | ❌ No |
| Works fully offline | ✅ Always | ⚠️ Needs page loaded first |
| Formats supported | ✅ PNG, JPEG, WebP, AVIF, GIF | ✅ Similar format support |
| Repeated workflow speed | ✅ Drop folder, done | ❌ Manual per-file export |
How to batch compress instead of using Squoosh
Download and open TinyPixels
Free to install on Mac or Windows — no browser tab required.
Drop the whole folder in
No more one-at-a-time uploads — process hundreds of images in one action.
Set your format and quality once
Apply the same settings across the entire batch instead of per file.
Compress and collect the output
Every image processes in parallel — no repeated manual export steps.
When Squoosh is enough, and when it isn't
Squoosh, built by the Google Chrome team, is a genuinely excellent tool for comparing compression formats and quality settings side by side on a single image. If you're deciding between WebP and AVIF for one hero image, Squoosh's live preview is hard to beat.
The friction shows up at scale. Optimizing a folder of 200 product photos, a design export batch, or a client's full image library means opening Squoosh, uploading, adjusting, exporting, and repeating — once per file. There's no way to apply one setting across a batch, and no folder-level automation.
TinyPixels is built for that repeated, high-volume case. Drop a folder once, and every image gets processed with the same settings in parallel across your CPU cores. Set a watched folder, and new files get compressed automatically the moment they land — no browser tab required at all.
Drop a folder, not a file
Process hundreds or thousands of images with one action, not one click per image.
Folder watch
Point TinyPixels at a folder and it auto-compresses every new file that lands there.
No browser tab needed
A standalone native app — no keeping a tab open, no page reload losing your session.
Format conversion built in
Convert between PNG, JPEG, WebP, AVIF, and GIF in the same batch pass.
Where Squoosh is genuinely still the better tool
This isn't a case where one tool strictly dominates the other. Squoosh's split-screen live preview — dragging a slider to compare original vs. compressed at different quality settings, in real time, on one image — is a feature TinyPixels doesn't replicate. If you're deciding exactly which quality setting to use for a single hero image, or comparing WebP vs. AVIF visually before committing, Squoosh's interactive comparison is arguably still the faster path.
Where it breaks down is repetition. Once you know your target quality setting, applying it to the next 500 images one upload at a time in a browser tab is where Squoosh becomes the bottleneck — and where a batch-first native app takes over.
A practical workflow: Squoosh to decide, TinyPixels to execute
Use Squoosh once, per project, to pick a setting
Open one representative image, compare WebP vs AVIF vs your current format at a few quality levels, and settle on a number that looks right.
Apply that setting in TinyPixels across the batch
Set the same quality level and target format in TinyPixels, then drop the entire folder — no repeating the comparison per file.
Don't expect a live slider preview in TinyPixels
It shows before/after file sizes after processing, not an interactive visual comparison — that's a deliberate trade-off for batch speed, not a missing feature to work around.
Re-run Squoosh's comparison if your source content changes significantly
A quality setting tuned for product photography may not transfer cleanly to screenshots or illustrations — spot-check with Squoosh again if your image type changes.
Frequently asked questions
What is the best alternative to Squoosh?
TinyPixels is a native desktop app for Mac and Windows that does everything Squoosh does — and adds batch processing, folder watching, and no per-file upload step. Squoosh is a great single-file browser tool; TinyPixels is built for repeated, high-volume work.
Does Squoosh support batch processing?
No. Squoosh processes one image at a time in the browser — you select a file, adjust settings, and export, then repeat for the next image. TinyPixels processes entire folders of images simultaneously with the same settings applied across the batch.
Is Squoosh good for compressing many images at once?
Squoosh is excellent for one-off comparisons between formats and quality settings on a single image, since it shows a live before/after preview in the browser. For bulk work — hundreds or thousands of images — a native batch tool like TinyPixels is significantly faster since there is no manual per-file step.
Does TinyPixels work without an internet connection like Squoosh?
Yes. Squoosh runs compression in your browser via WebAssembly and does not upload files either, but it still requires the page to load initially and depends on keeping a browser tab open per session. TinyPixels is a standalone native app that works fully offline with no browser dependency.
Does Squoosh's side-by-side preview have an equivalent in TinyPixels?
Not identically — Squoosh's split-screen before/after slider on a single image is a genuinely useful feature for dialing in quality settings interactively. TinyPixels shows per-file compression results (original vs. compressed size) after processing rather than a live interactive preview, since it's built around batch throughput rather than single-image experimentation.
Can I still use Squoosh for one-off comparisons and TinyPixels for bulk work?
Yes, and that's a reasonable way to use both. Many people use Squoosh to experiment with a single image and decide on a quality/format setting, then apply that same setting across a full batch in TinyPixels rather than repeating the manual export step per file.
Batch process your images today
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