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SRF at a glance
SRF
Convert to SRF when preserving older Sony originals or keeping a legacy Sony raw library intact.
It is useful for archive recovery and compatibility workflows.
CSV at a glance
CSV
Convert to CSV when data needs to move between tools rather than preserve layout.
It is the standard target for database exports, spreadsheet imports, mailing-list uploads, analytics extracts, and one-time migrations into other business systems.
Use CSV when recipients need a simple table they can open anywhere or ingest programmatically, and avoid it when formulas, multiple sheets, cell formatting, comments, or strong typing need to survive the conversion.
CSV is best when interoperability and machine-readability matter more than presentation.
Format comparison
| Feature | SRF | CSV |
|---|---|---|
| File type | Image | Spreadsheet |
| Extensions |
|
|
| MIME type |
|
|
| Compression / quality | raw | structured |
| File size characteristics | large | small |
| Compatibility | limited | moderate |
| Editability | high | high |
| Created year | 2003 | 1972 |
| Inventor | Sony | long-standing tabular data interchange convention |
| Status | proprietary | active |
| Primary use cases |
|
|
| Common software |
|
|
| Archival suitability | strong | moderate |
| Metadata handling | rich | rich |
| Delivery profile | limited | moderate |
| Workflow fit | source | analysis |
| Vector scaling | ❌ | ❌ |
When to use each format
When to use SRF
- capture ingest
- editing
- web or print delivery
- Preserve capture-stage sensor information.
When to use CSV
- analysis
- reporting
- business-data exchange
- Almost every spreadsheet and data tool can read it.
FAQs
Why convert SRF to CSV?
Convert to CSV when data needs to move between tools rather than preserve layout.
It is the standard target for database exports, spreadsheet imports, mailing-list uploads, analytics extracts, and one-time migrations into other business systems.
Use CSV when recipients need a simple table they can open anywhere or ingest programmatically, and avoid it when formulas, multiple sheets, cell formatting, comments, or strong typing need to survive the conversion.
CSV is best when interoperability and machine-readability matter more than presentation.
What changes when converting SRF to CSV?
This conversion changes how the format behaves in downstream tools and delivery environments.
Size profile changes from large in SRF to small in CSV. Quality profile changes from raw in SRF to structured in CSV. Compatibility profile changes from limited in SRF to moderate in CSV. Archival profile changes from strong in SRF to moderate in CSV. Delivery profile changes from limited in SRF to moderate in CSV. Workflow profile changes from source in SRF to analysis in CSV.
What should I review after converting SRF to CSV?
Check the exported file for It has weak native typing and schema guarantees.; Quoting, delimiters, encodings, and multi-sheet semantics vary across producers..