Squoosh vs TinyPNG: Control or Faster Batches?

Squoosh vs TinyPNG at a glance #

The web pricing, API pricing, integration list, and Squoosh app were checked October 7, 2026. A web subscription and an API account have different allowances.

Batch work: TinyPNG saves you the repeated decisions #

If you're preparing 12 blog photos that already have the right dimensions, I'd use TinyPNG. The free batch fits its 20-image allowance, assuming each file is under 5 MB. You don't need to choose an encoder or adjust a slider for every photo. The web compressor handles those decisions automatically.

Squoosh turns the same job into individual editing sessions. Its divided preview makes sense when you're deciding what one image should look like. It becomes repetitive when every picture needs roughly the same treatment. There's no batch queue or apply-to-all control in the current app.

For a larger collection, TinyPNG Pro removes the compression count limit, but uploading and retrieving the files are still part of the browser workflow. If your work happens every day, I'd look at its API or a local batch application before paying purely to process more files manually.

Squoosh has one advantage on a slow connection: image processing happens on your device. That doesn't make it an automatic winner for a folder. The repeated interaction can cost more attention than the upload itself. I'd save Squoosh for the handful of pictures where a close inspection changes the decision.

Winner: TinyPNG for a routine batch of prepared web images.

Quality control: Squoosh lets you choose what to sacrifice #

Squoosh gives you a direct view of the image while you adjust it. For a banner with textured fabric, you can watch the fabric as you change Quality. For a screenshot, you can examine the small lettering before deciding whether a lossy export looks acceptable. You can also set the width before choosing the output format.

Its encoder choices include MozJPEG, OxiPNG, WebP, and AVIF, with different settings for each. The official encoder source documents those options. You don't have to understand every advanced setting to benefit from a preview and a file-size readout.

TinyPNG makes a firmer decision for you. Its automatic compression is convenient when the image simply needs to get smaller, but you can't raise the quality slider for one awkward result. The compression explanation describes its approach. If the output damages detail you care about, I'd switch to a tool with manual settings.

Squoosh also needs patience when you have a strict file-size target. A July 2024 feature request asked for an automatic target such as 100 KB because the quality values aren't comparable across formats. The requester described adjusting the sliders by trial and error. (GitHub #1422) The app still requires that manual decision.

I'd choose Squoosh when the question is how much detail a particular image can lose. I'd choose TinyPNG when the question is how quickly a prepared batch can be finished. For the actual controls, follow the Squoosh resize and compression guide.

Winner: Squoosh for choosing the visual result yourself.

Processing and privacy: Squoosh keeps the picture on your device #

Squoosh's README privacy section says the image isn't sent to a server. It also says the app uses Google Analytics for basic visitor data, before-and-after image sizes, and the installation type and date when used as a progressive web app. Local image processing doesn't mean the website collects no usage data.

That difference matters for client artwork, unpublished product photography, or anything you're only allowed to process on your own device. I'd choose local processing if sending the file to another service requires permission. Squoosh lets you make the compression decision without uploading the picture.

TinyPNG's workflow sends your image to Tinify for server processing. Its API reference requires HTTPS and accepts an uploaded file or a source URL. Encryption protects the transfer, but the service still receives the picture. For ordinary public website assets, I'd decide whether that processing arrangement fits the job.

Neither workflow replaces your organization's file-handling rules. If you need an installed application for local processing, ImageOptim or Caesium may be easier to fit into the approved setup. Those desktop choices are covered in the free image-compressor shortlist.

Winner: Squoosh when keeping the image off a hosted processor is the deciding factor.

Automation: Tinify can sit inside the publishing workflow #

Tinify offers official WordPress integration and language clients for PHP, Node.js, Python, Ruby, Java, and .NET. Its official Figma plugin announcement, published January 23, 2026, adds an option for design work. These routes matter when compression needs to happen where the images already live.

For a WordPress editor, an integrated upload workflow can remove the separate visit to a compressor. For a developer, the API can compress files as part of a job, resize them, and save results to Amazon S3 or Google Cloud Storage. The developer documentation covers the available clients and integrations.

Squoosh is better thought of as a manual editor for exports. Its source code is open, but that doesn't give you a supported compression service to call from a CMS. I'd use it to settle the appearance of a difficult image, then choose an automation tool for a repeatable pipeline.

I'd also separate automation from what happens in the browser. Buying Web Pro doesn't supply an unlimited API allowance. The API account has its own billing, and the WordPress integration draws on that side of the service. If your goal is to remove manual steps, choose the integration first and work out its costs second.

Winner: TinyPNG / Tinify for WordPress, design integrations, and API jobs.

Price: Squoosh stays free as the files get larger #

Squoosh has no paid tier or monthly credit balance. It's a strong choice when you have a few images above TinyPNG's free 5 MB ceiling and can handle them individually. Your device still has to do the work, especially with large images and slower encoder settings.

TinyPNG's free web plan is practical for occasional small batches. Pro raises the maximum file size to 75 MB and gives unlimited compression; Ultra raises it to 150 MB and adds unlimited conversions. The displayed monthly rates are $3.25 and $12.42, both billed annually. (Web plans) I'd pay for that convenience only if the larger files or repeated batches actually occur in your work.

The API starts with 500 free compressions each month. The pricing page displays $0.009 per compression for the next 9,500, then $0.002 for the next 10,000. (API plans) Resizing and format conversion can add counted operations, so image count alone isn't a complete bill estimate. See the operation rules before enabling a job on a large library.

I'd choose Squoosh to avoid a subscription for occasional manual exports. If compression happens repeatedly inside a CMS, Tinify's integration may save enough work to justify its price. For free local batches, neither is my first choice: I'd look at a desktop tool.

Winner: Squoosh for free manual work; TinyPNG's paid service earns its price through volume and integration.

What users say about the daily work #

In a July 2026 design discussion, a TinyPNG user said they still used manual uploads almost daily for WebP conversion and compression. Another liked it for transparent PNGs. Squoosh also had users keeping it for individual images, while one commenter reported color differences between browser implementations. (Design discussion)

The friction is easy to recognize. A June 2025 web developer wanted a local Linux solution because uploading, downloading, and waiting on online tools, including TinyPNG, had become tiresome. (Workflow discussion) Squoosh removes the file upload, but it doesn't remove the repeated per-image adjustments. A desktop batch app or an API is the next step when that repetition becomes the real problem.

Choose Squoosh if... #

• You want to choose dimensions, format, and visible quality for one image.
• You need the picture processed locally.
• You want a free manual option for files above TinyPNG's free ceiling.
• You can spend time inspecting lettering, edges, and texture.

Choose TinyPNG if... #

• Your images already have the right dimensions and need automatic compression.
• You want a browser batch with few settings.
• You need an official WordPress, Figma, or API integration.
• You accept hosted processing and the allowance for the product you're using.

Alternatives to both #

• Caesium: my Windows pick for local photo batches, resizing, and compression controls.
• ImageOptim: a free Mac app for local optimization, with lossless defaults.
• RIOT: desktop preview and batch processing on Windows, Apple Silicon Mac, and Linux.

The TinyPNG alternatives directory has more options. Use the ranked compressor guide for their current limits and licensing conditions.

Frequently asked questions #

Is Squoosh safe for private images?

Squoosh processes the picture locally, according to its official privacy documentation. That makes it my choice between these two when the image must stay on your device. The processing and privacy section above explains the separate analytics data. If your workplace requires an approved installed application, choose a local desktop option that meets those rules.

Is TinyPNG completely free?

TinyPNG has a free web plan, capped at 20 images per session and 5 MB per image, plus three conversions per session. Larger uploads and unlimited compression are paid web features. The API has a separate allowance of 500 free compressions per month. Buying a web subscription doesn't turn that API allowance into an unlimited plan.

Who makes Squoosh?

Squoosh was built by GoogleChromeLabs. The original development team has since left Google, so its Google branding doesn't promise regular updates or ongoing support. The latest default-branch commit is dated August 19, 2024. I'd use it for occasional exports; our Squoosh maintenance section explains why I'd avoid building a team workflow around it.

Which tool gives better image quality?

Squoosh gives you more control over the result; TinyPNG makes the compression decision automatically. I'd choose Squoosh for an image where small text or fine texture needs careful inspection. There isn't one quality setting that guarantees the best result for every photo. Start with your destination's dimensions and accepted formats, then compare the visible detail before using the output.

Sources #

• Squoosh: app, encoder options, privacy documentation, license, commit history.
• Tinify: web pricing, API pricing, developer integrations, HTTP API reference, compression explanation, WordPress, January 2026 Figma announcement, September 2026 web-tool walkthrough.
• User workflows: July 2026 design discussion, June 2025 manual-work complaint.
• Manual size targeting: Squoosh #1422.