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AI at a glance
AI
Adobe co-founder John Warnock created Illustrator in late 1986 to automate many of the manual tasks used by his wife Marva, a graphic designer. It was a commercialization of Adobe's in-house font development software and PostScript file format.
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 | AI | ORA |
|---|---|---|
| File type | Vector | Image |
| Extensions |
|
|
| MIME type |
|
|
| Compression / quality | scalable | depends |
| File size characteristics | small | medium |
| Compatibility | moderate | broad |
| Editability | high | moderate |
| Created year | 1987 | 2006 |
| Inventor | Adobe Systems | Libre Graphics community |
| Status | active | active |
| Transparency | Not supported | Not supported |
| Animation | Not supported | Not supported |
| Primary use cases |
|
|
| Common software |
|
|
| Archival suitability | good | moderate |
| Metadata handling | moderate | moderate |
| Delivery profile | strong | strong |
| Workflow fit | design | delivery |
| Layer support | Supported | Supported |
| Vector scaling | Supported | Not supported |
When to use each format
When to use AI
- illustration
- diagramming
- brand asset delivery
- Industry-standard vector format with deep feature support.
When to use ORA
- capture ingest
- editing
- web or print delivery
- Open layered-raster exchange story.
FAQs
Why convert AI to ORA?
Choose ORA as target when you need a layered raster file that remains editable across open creative applications.
What changes when converting AI 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 AI 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 AI 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.