Why Compare These Three?
If you've ever searched for "compress images online," you've almost certainly encountered TinyPNG, Squoosh, and — more recently — Deflato. They represent three different approaches to the same problem: making images smaller without visible quality loss. TinyPNG is the long-standing SaaS favorite, Squoosh is Google's open-source client-side tool, and Deflato is the newer entrant that combines generous free limits with features neither competitor offers — document compression, MCP server integration, and a full editing toolkit.
This comparison is factually accurate. Where Deflato has a genuine advantage, we say so. Where TinyPNG or Squoosh is stronger, we say that too.
Head-to-Head Feature Comparison
| Feature | Deflato | TinyPNG | Squoosh |
|---|---|---|---|
| Free limit | 50 files/day, no signup | 20 images/day (max 5 MB each) | Unlimited (client-side) |
| Max file size (free) | 50 MB | 5 MB | No server limit (browser RAM) |
| Input formats | JPEG, PNG, WebP, AVIF, HEIC, TIFF, BMP, RAW (20+) | JPEG, PNG, WebP, AVIF, JXL | JPEG, PNG, WebP, AVIF, and more |
| Output formats | JPEG, PNG, WebP, AVIF | JPEG, PNG, WebP, AVIF, JXL | JPEG, PNG, WebP, AVIF, and more |
| AVIF support | Full (input + output) | AVIF supported (2025+) | Full (input + output) |
| Document compression | PDF, DOCX, PPTX, XLSX | No | No |
| REST API | Yes (Pro plan) | Yes (paid, 500 free/month) | No (client-side only) |
| MCP Server | Yes (npx mcp-server-deflato) | No | No |
| SDKs | Python, Node.js, cURL | Ruby, PHP, Node.js, Python, Java, .NET | None (client-side JS library) |
| Batch upload | Up to 500 files (Pro) | Up to 20 files at once | 1 file at a time |
| Crop / Resize | Yes (resize by px/%, crop by ratio) | Resize only (paid) | Resize only |
| Watermark | Yes (Pro) | No | No |
| Color correction | Brightness, contrast, saturation, sharpness (Pro) | No | No |
| Multi-language UI | Yes (EN, RU, ES, DE) | English, Chinese | English, Chinese |
| Paste from clipboard | Yes (Ctrl+V) | No | No |
| Compress by URL | Yes | No (web UI) | No |
| Pricing | Free / Pro $7/mo / Day Pass $2 | Free (limited) / Pro from $39/yr | Free (open source) |
Compression Quality
All three tools produce excellent compression results — you won't see dramatic quality differences at the same file size. TinyPNG uses a proprietary quantization algorithm for PNG that's highly regarded. Squoosh gives you fine-grained control over codec settings (you can tweak MozJPEG, libwebp, and AVIF encoder parameters directly). Deflato uses server-side Pillow and libvips pipelines optimized for the best size-to-quality ratio at each quality setting.
In practice, the difference in output quality between these tools at quality 80 is negligible. The real differentiators are features, workflow, and limits — not compression quality.
Where Deflato Wins
Document Compression
Neither TinyPNG nor Squoosh can compress images inside PDF, Word, PowerPoint, or Excel files. Deflato extracts embedded images from these documents, compresses them, and reassembles the file with text and layout intact. If you regularly deal with oversized PDFs or slide decks, this feature alone is a reason to choose Deflato.
Generous Free Tier
Deflato's free plan offers 50 files per day at up to 50 MB each — without requiring an account. TinyPNG limits you to 20 images per day at 5 MB each. Squoosh is unlimited but processes one file at a time with no batch capability, and runs entirely in the browser (which can be slow for large files or weak devices).
MCP Server for AI Workflows
Deflato is the first image compressor with an MCP (Model Context Protocol) server. This lets AI assistants like Claude compress, convert, and resize images as part of automated workflows. If you're building AI-powered tools that handle images, this is a unique integration that no competitor offers.
Editing Tools
Deflato includes crop (7 aspect ratios), rotation, flip, watermarking, and color correction (brightness, contrast, saturation, sharpness). TinyPNG offers resize on paid plans only. Squoosh offers resize but no crop, watermark, or color tools.
Where TinyPNG Wins
SDK Ecosystem
TinyPNG has been around since 2014 and offers official SDKs for six languages (Ruby, PHP, Node.js, Python, Java, .NET). If you're integrating image compression into a Ruby on Rails or PHP application, TinyPNG has mature, well-documented libraries. Deflato currently offers Python and Node.js SDKs, which covers most use cases but not all.
WordPress and CMS Plugins
TinyPNG has a widely used WordPress plugin that automatically compresses images on upload. Deflato doesn't have a dedicated WordPress plugin yet (though the API can be integrated into any CMS via webhooks).
Where Squoosh Wins
Privacy and Offline Use
Squoosh runs entirely in your browser — no files are uploaded to any server. If you're working with sensitive images and can't send them to a third-party service, Squoosh is the only option among these three that guarantees zero server contact. (Deflato deletes files within 30 minutes and processes in the EU, but files do leave your device.)
Codec Granularity
Squoosh exposes low-level codec parameters that neither Deflato nor TinyPNG offer: MozJPEG's progressive scan settings, WebP's filter strength, AVIF's tile configuration, and more. If you're a developer who wants pixel-level control over encoder behavior, Squoosh is unmatched.
Completely Free
Squoosh is an open-source Google project. There are no paid tiers, no limits, and no accounts. The trade-off is no API, no batch processing, and no server-side features.
Which Should You Choose?
- Choose Deflato if you need batch processing, document compression, a generous free tier, editing tools, or MCP/API integration. It's the most feature-complete option for everyday use.
- Choose TinyPNG if you need WordPress integration or SDKs in languages beyond Python and Node.js. Its API is mature and battle-tested.
- Choose Squoosh if privacy is paramount (no server uploads), you only need to compress one image at a time, or you want low-level codec control.
For most users compressing images for web, email, or documents in 2026, Deflato offers the best combination of free limits, format support, and unique features. But all three tools produce great compression results — the best choice depends on your specific workflow.