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ICNS at a glance
ICNS
—
AI at a glance
AI
—
Format comparison
| Feature | ICNS | AI |
|---|---|---|
| File type | Image | Vector |
| Status | active | active |
| Transparency | Not supported | Not supported |
| Animation | Not supported | Not supported |
| Primary use cases |
|
|
| Layer support | Not supported | Supported |
| Vector scaling | Not supported | Supported |
When to use each format
When to use ICNS
- Your source file is already in ICNS.
- Preserve source expectations before exporting to AI.
- ICNS is commonly used in image workflows.
When to use AI
- Your target workflow expects AI.
- Improve delivery compatibility with AI.
- AI is commonly used in vector workflows.
FAQs
Why convert ICNS to AI?
This conversion is usually chosen when AI fits downstream vector delivery better.
What changes when converting ICNS to AI?
This conversion changes how the format behaves in downstream tools and delivery environments.
Moving to AI adds layer support. Moving to AI adds vector scaling.
What should I review after converting ICNS to AI?
Validate output quality on representative files and confirm the target format behaves correctly in the destination workflow.