The best image format depends on the asset. SVG, PNG, and WebP each solve different problems, and choosing the wrong one can create blurry visuals, bloated files, or awkward implementation.
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
- Use SVG for simple vector artwork, logos, icons, and illustrations that need to scale cleanly.
- Use PNG for transparency, screenshots, UI captures, or cases where lossless output matters.
- Use WebP for compressed web imagery where browser support and workflow allow it.
- Check whether the asset includes complex shadows, masks, gradients, or embedded rasters before choosing SVG.
- Compare final file size and visual quality, not just the exported format name.
Common Mistakes
- Complex SVGs can be heavier or harder to style than expected.
- PNG is reliable but can be far too heavy for large marketing images.
- WebP is usually efficient, but teams still need fallback thinking in older or constrained environments.
A Practical Workflow
TinyImage supports multiple export formats from Figma, so designers can choose the right format instead of handing developers a pile of default PNGs.
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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