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