Performance budgets are often owned by developers, but image weight usually starts in design. A compression budget gives designers a target before assets are exported.
For teams working on optimized image export from Figma, the useful question is not just “which tool exports this?” It is “what has to be true before this asset, file, or review flow is safe to ship?” TinyImage is useful because it helps turn Figma work into compressed image, SVG, PDF, GIF, MP4, WebP, and AVIF exports, but the quality still comes from a clear workflow.
What to Check
- Set different targets for icons, thumbnails, product images, editorial images, and hero graphics.
- Decide when visual quality matters enough to justify a heavier asset.
- Use real page context: a 300 KB image may be fine alone but not when repeated 20 times.
- Track total image weight for key pages such as home, pricing, product, and landing pages.
- Review the asset budget after design changes that add new photography, illustrations, or animations.
Common Mistakes
- A single hero image can consume the entire page budget if nobody checks it.
- Designers may export at larger dimensions than the website ever displays.
- Compression targets should not flatten every image into poor quality; judgment still matters.
A Practical Workflow
TinyImage helps design teams compress assets against a target before handoff, making performance a design responsibility instead of a cleanup surprise.
Start by preparing the Figma source file with real content, clear naming, and the constraints that matter for production. Then run a focused review against the checklist above before exporting or sharing. That keeps the work from turning into a last-minute cleanup job.
When This Matters Most
This matters most when the work is repeated, client-facing, compliance-sensitive, performance-sensitive, or likely to be reused by another team. One-off manual fixes can survive on memory. Repeatable production work needs a documented process.
Next Step
Use this checklist alongside the relevant TinyImage tutorial or product workflow, then review TinyImage when you are ready to make this process faster inside Figma.
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