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CSV at a glance
CSV
CSV predates modern API and analytics stacks, and RFC 4180 mostly documents common practice rather than imposing one rich canonical semantics layer.
ERF at a glance
ERF
Digital photography fragmented into many manufacturer-specific raw formats because camera makers optimized for their own sensors, metadata, and software ecosystems rather than for one shared public raw standard.
Format comparison
| Feature | CSV | ERF |
|---|---|---|
| File type | Spreadsheet | Image |
| Extensions |
|
|
| MIME type |
|
|
| Created year | 1972 | 2004 |
| Inventor | long-standing tabular data interchange convention | Epson |
| Status | active | proprietary |
| Primary use cases |
|
|
| Vector scaling | Not supported | Not supported |
When to use each format
When to use CSV
- Your source file is already in CSV.
- Preserve source expectations before exporting to ERF.
- CSV is commonly used in spreadsheet workflows.
When to use ERF
- Your target workflow expects ERF.
- Improve delivery compatibility with ERF.
- ERF is commonly used in image workflows.
FAQs
Why convert CSV to ERF?
Convert to ERF when preserving or restoring Epson-origin raw captures in an archive or compatibility workflow.
In most contemporary pipelines, it is a legacy source format to retain or migrate.
What changes when converting CSV to ERF?
This conversion changes how the format behaves in downstream tools and delivery environments.
What should I review after converting CSV to ERF?
Validate output quality on representative files and confirm the target format behaves correctly in the destination workflow.