TinyPNG vs Squoosh: Which Image Compressor Is Better in 2026?

TinyPNG and Squoosh are the two image compressors most often shortlisted by web developers and designers who need to shrink images for faster websites in 2026. TinyPNG wins on batch processing, CMS integrations, and workflow automation. Squoosh wins on format variety, visual comparison, privacy, and advanced controls. This comparison breaks down compression quality, format support, workflow, batch processing, and pricing so you can pick the right image compressor for your project.

Quick Comparison

What Is TinyPNG?

TinyPNG is an online image compression service launched in 2012 by Voormedia, a Dutch web development studio. TinyPNG became popular for its ability to dramatically reduce PNG and JPEG file sizes with minimal quality loss, using smart lossy compression techniques that reduce the number of colors in the image. By 2026, TinyPNG is one of the most widely used image compressors on the web, with official plugins for WordPress, Shopify, and Magento, plus a paid API for developers.

The defining characteristic of TinyPNG is its workflow integration. Beyond the simple web interface where you drag and drop images, TinyPNG offers desktop apps for macOS and Windows, official CMS plugins that compress images automatically on upload, and a developer API that integrates into build pipelines and CI/CD systems. This makes TinyPNG the better choice for teams that want compression to happen automatically as part of their existing workflow, without manual steps.

What Is Squoosh?

Squoosh is an open-source image compression app launched in 2018 by the Google Chrome team. Squoosh was built to demonstrate the capabilities of WebAssembly, running advanced image codecs entirely in the browser without uploading images to a server. By 2026, Squoosh remains the reference tool for developers who want to compare image formats and codecs side by side, with support for modern formats like AVIF, JPEG XL, and WP2 alongside the standard JPEG, PNG, and WebP.

The defining characteristic of Squoosh is its visual comparison interface. The app splits the screen with a slider, showing the original image on one side and the compressed version on the other, with file size and quality metrics updated in real time as you adjust compression settings. This makes Squoosh the best tool for understanding exactly how compression affects an image, and for choosing the right format and settings for each image. The trade-off is that Squoosh processes one image at a time and has no batch processing or CMS integrations.

Compression Quality and Algorithm

Both tools produce excellent compression results, but they use different approaches. TinyPNG uses smart lossy compression, while Squoosh gives you access to multiple codecs with fine-grained control.

TinyPNG Smart Lossy Compression

TinyPNG's compression reduces the number of colors in PNG images and applies optimized quantization to JPEGs, producing file sizes that are typically 50% to 80% smaller than the originals with quality loss that is virtually invisible at normal viewing sizes. The compression is automatic: you upload an image, and TinyPNG applies its optimized settings. This makes TinyPNG fast and foolproof, but it does not let you tune the compression level or compare formats.

Squoosh Multi-Codec Control

Squoosh gives you access to multiple codecs including MozJPEG, AVIF, JPEG XL, WebP, WP2, and OptiPNG, each with its own quality slider and advanced settings. You can compare codecs side by side with the visual slider, seeing exactly how each affects the image at different quality levels. For users who want maximum control over compression, Squoosh is more capable than TinyPNG. The trade-off is that Squoosh requires more knowledge to use effectively, and tuning each image takes longer than TinyPNG's automatic approach.

Winner: Best automatic compression goes to TinyPNG. Best compression control and codec variety goes to Squoosh.

Format Support and Modern Codecs

Format support is where Squoosh has a decisive lead. TinyPNG covers the core formats, while Squoosh supports the latest next-generation codecs.

Squoosh Next-Gen Codec Support

Squoosh supports JPEG, PNG, WebP, AVIF, JPEG XL, WP2, and MozJPEG, giving you access to the latest codecs that produce smaller files than standard JPEG and PNG. AVIF and JPEG XL in particular can reduce file sizes by 50% or more compared to JPEG at the same visual quality. For developers who want to ship the smallest possible images and support modern browsers, Squoosh is the stronger tool.

TinyPNG Core Format Focus

TinyPNG focuses on the three most widely used formats: PNG, JPEG, and WebP. This covers the vast majority of web images, and WebP support means you can serve modern format images to browsers that support it. However, TinyPNG does not support AVIF, JPEG XL, or other next-generation codecs. For users who need the absolute smallest file sizes with modern codecs, Squoosh is the better choice.

Winner: Best format support and modern codecs goes to Squoosh.

Workflow and Batch Processing

Workflow and batch processing is where TinyPNG establishes a decisive lead. Squoosh processes one image at a time, while TinyPNG handles batches and integrates into existing workflows.

TinyPNG Batch and CMS Integration

TinyPNG's web interface accepts up to 20 images at once for free, and the paid API and desktop apps handle unlimited batch processing. More importantly, TinyPNG offers official plugins for WordPress, Shopify, and Magento that compress images automatically when you upload them to your CMS, with no manual steps. The developer API also integrates into build pipelines, so images are compressed as part of your CI/CD process. For teams that want compression to happen automatically, TinyPNG is the clear winner.

Squoosh Single-Image Focus

Squoosh processes one image at a time in the browser. There is no batch processing, no CMS plugins, and no API. If you need to compress 50 images, you must process each one manually in the Squoosh interface. This makes Squoosh impractical for high-volume workflows, though it is fine for occasional use or for fine-tuning a single hero image. For users who need batch processing, TinyPNG is the only viable choice.

Winner: Best workflow and batch processing goes to TinyPNG.

Privacy and Processing Location

Privacy and processing location is where Squoosh has a meaningful advantage. TinyPNG uploads images to its servers, while Squoosh processes them locally in your browser.

Squoosh Local Processing

Squoosh processes images entirely in your browser using WebAssembly, which means your images never leave your device. This is a significant advantage for users who work with sensitive images, such as medical scans, legal evidence, or unreleased product photos, where uploading to a third-party server is not acceptable. Squoosh's local processing also means it works offline once the app is loaded.

TinyPNG Cloud Processing

TinyPNG uploads images to its servers for processing, then deletes them after a short period. For most web images, this is fine, but it is a limitation for users with strict privacy or security requirements. TinyPNG's privacy policy is clear about deletion practices, but the fact that images transit through external servers is a consideration for sensitive workflows.

Winner: Best privacy and local processing goes to Squoosh.

Visual Comparison and User Interface

Visual comparison is where Squoosh shines. TinyPNG has a simple drag-and-drop interface, while Squoosh offers a side-by-side slider for comparing compression results.

Squoosh Side-by-Side Slider

Squoosh's interface splits the screen with a slider, showing the original image on one side and the compressed version on the other. As you adjust compression settings or switch codecs, the comparison updates in real time, with file size and quality metrics displayed prominently. This makes Squoosh the best tool for understanding exactly how compression affects an image, and for choosing the right settings for each image. For designers who want to see the quality impact before committing, Squoosh is invaluable.

TinyPNG Simple Drag and Drop

TinyPNG's interface is a simple drag-and-drop: you upload images, TinyPNG compresses them, and you download the results. There is no visual comparison or real-time adjustment. This makes TinyPNG faster for batch processing but less informative for users who want to understand or tune the compression. For users who just want quick results, TinyPNG's simplicity is an advantage.

Winner: Best visual comparison and interface goes to Squoosh.

Pricing Comparison

Pricing is one of the differentiators. Both tools are free for basic use, but TinyPNG charges for high-volume API access, while Squoosh is completely free and open source.

Both tools are free for basic use, which makes them both excellent choices for occasional compression. TinyPNG's paid tiers are for users who need high-volume API access or desktop apps, and the pricing is reasonable for the value. Squoosh is completely free and open source, with no paid tiers, because it runs entirely in your browser.

For most users, the choice is not about price but about workflow: if you need batch processing and CMS integration, TinyPNG's paid tiers are worth it; if you need visual comparison and format control, Squoosh is free and more capable.

Winner: Best free value goes to Squoosh. Best paid workflow value goes to TinyPNG.

Pros and Cons

TinyPNG Pros

TinyPNG Cons

Squoosh Pros

Squoosh Cons

Who Should Use Which?

Real-World Use Cases

Final Verdict

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FAQ

Is TinyPNG or Squoosh completely free?

Both are free for basic use, but with different limits. TinyPNG's web interface is free for up to 20 images under 5 MB each, with paid API and desktop app plans for higher volume. Squoosh is completely free and open source, with no limits on image count or file size, because all processing happens locally in your browser.

Does image compression reduce quality?

Both TinyPNG and Squoosh use lossy compression by default, which does remove some data, but the reduction is optimized to be virtually invisible to the human eye at normal viewing sizes. Squoosh also offers lossless options for users who need to preserve every pixel. For most web and marketing use, the quality loss is imperceptible.

Which format should I use: JPEG, PNG, WebP, or AVIF?

Use JPEG for photographs, PNG for images with transparency or text, WebP for modern web projects (about 30% smaller than JPEG), and AVIF for maximum compression (about 50% smaller than JPEG) if browser support is not a concern. Squoosh lets you compare all formats side by side, while TinyPNG focuses on PNG, JPEG, and WebP.

Can I compress multiple images at once with TinyPNG or Squoosh?

TinyPNG supports batch compression: you can drag up to 20 images onto the web interface at once, and the paid TinyPNG API and desktop apps handle unlimited batch processing. Squoosh processes one image at a time in the browser, which makes batch compression impractical for more than a few images.

Do TinyPNG and Squoosh upload my images to a server?

TinyPNG uploads your images to its servers for processing, then deletes them after a short period. Squoosh processes images entirely locally in your browser using WebAssembly, so your images never leave your device. For users with strict privacy or security requirements, Squoosh is the safer choice.

Which is better for WordPress or Shopify sites?

TinyPNG is better for WordPress and Shopify sites because it offers official plugins that automatically compress images on upload. The TinyPNG WordPress plugin and Shopify app handle compression in the background without any manual work. Squoosh has no CMS integrations, so you would need to compress images manually before uploading them to your CMS.