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ARW at a glance
ARW
As Sony expanded from consumer electronics into serious camera bodies and sensors, ARW became part of the broader shift that put Sony raw support on the critical path for many photo applications.
ORA at a glance
ORA
OpenRaster emerged from the libre graphics community as a practical answer to the lack of a clean open interchange format for layered raster artwork.
Format comparison
| Feature | ARW | ORA |
|---|---|---|
| File type | Image | Image |
| Extensions |
|
|
| MIME type |
|
|
| Compression / quality | raw | depends |
| File size characteristics | large | medium |
| Compatibility | limited | broad |
| Editability | high | moderate |
| Created year | 2006 | 2006 |
| Inventor | Sony | Libre Graphics community |
| Status | proprietary | active |
| Transparency | Not supported | Not supported |
| Animation | Not supported | Not supported |
| Primary use cases |
|
|
| Common software |
|
|
| Archival suitability | strong | moderate |
| Metadata handling | rich | moderate |
| Delivery profile | limited | strong |
| Workflow fit | source | delivery |
| Layer support | Not supported | Supported |
| Vector scaling | Not supported | Not supported |
| Camera raw data | Supported | Not supported |
| HDR support | Not supported | Not supported |
| Streaming ready | Not supported | Not supported |
When to use each format
When to use ARW
- capture ingest
- editing
- web or print delivery
- Preserve capture-stage sensor information.
When to use ORA
- capture ingest
- editing
- web or print delivery
- Open layered-raster exchange story.
FAQs
Why convert ARW to ORA?
Choose ORA as target when you need a layered raster file that remains editable across open creative applications.
What changes when converting ARW to ORA?
Convert to ORA when you need a layered raster file that remains editable across open creative applications. It is a good target for illustration handoff, collaborative painting workflows, and vendor-neutral layered artwork exchange.
What should I review after converting ARW to ORA?
After conversion, review these destination checks: Open converted output in Krita and verify behavior on real samples; Compare output against the expected depends quality profile; Not every major commercial raster editor treats it as a primary native working format.
How can I keep quality stable in ARW to ORA conversion?
Run representative samples, keep settings deterministic, and monitor these risks: Layer feature parity still depends on application support; Not every major commercial raster editor treats it as a primary native working format; Validate destination compatibility before large-batch conversion.