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M4V at a glance
M4V
—
ORF at a glance
ORF
—
Format comparison
| Feature | M4V | ORF |
|---|---|---|
| File type | Video | Image |
| Status | active | active |
| Transparency | Not supported | Not supported |
| Animation | Not supported | Not supported |
| Primary use cases |
|
|
| Layer support | Not supported | Not supported |
| Camera raw data | Not supported | Supported |
| HDR support | Not supported | Not supported |
| Streaming ready | Supported | Not supported |
When to use each format
When to use M4V
- Your source file is already in M4V.
- Preserve source expectations before exporting to ORF.
- M4V is commonly used in video workflows.
When to use ORF
- Your target workflow expects ORF.
- Improve delivery compatibility with ORF.
- ORF is commonly used in image workflows.
FAQs
Why convert M4V to ORF?
This conversion is usually chosen when ORF fits downstream image delivery better.
What changes when converting M4V to ORF?
This conversion changes how the format behaves in downstream tools and delivery environments.
Moving to ORF adds camera raw data. Moving to ORF removes streaming delivery.
What should I review after converting M4V to ORF?
Validate output quality on representative files and confirm the target format behaves correctly in the destination workflow.