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From
To
AI at a glance
AI
—
DCM at a glance
DCM
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Format comparison
| Feature | AI | DCM |
|---|---|---|
| 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 DCM.
- AI is commonly used in vector workflows.
When to use DCM
- Your target workflow expects DCM.
- Improve delivery compatibility with DCM.
- DCM is commonly used in image workflows.
FAQs
Why convert AI to DCM?
This conversion is usually chosen when DCM fits downstream image delivery better.
What changes when converting AI to DCM?
This conversion changes how the format behaves in downstream tools and delivery environments.
Moving to DCM removes layer support. Moving to DCM removes vector scaling.
What should I review after converting AI to DCM?
Validate output quality on representative files and confirm the target format behaves correctly in the destination workflow.