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SR2 at a glance
SR2
Early Sony raw formats reflect the transitional period in which Sony was still establishing its photography ecosystem and raw compatibility story.
XLSX at a glance
XLSX
XLSX emerged with the Office Open XML shift away from older binary spreadsheet files and became a common denominator for modern spreadsheet interchange.
Format comparison
| Feature | SR2 | XLSX |
|---|---|---|
| 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 | 2006 |
| Inventor | Sony | Microsoft / Ecma TC45 lineage |
| 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 | Not supported | Not supported |
When to use each format
When to use SR2
- capture ingest
- editing
- web or print delivery
- Preserve capture-stage sensor information.
When to use XLSX
- analysis
- reporting
- business-data exchange
- Broad support across spreadsheet ecosystems.
FAQs
Why convert SR2 to XLSX?
Choose XLSX as target when recipients need an editable spreadsheet rather than a flat data export.
What changes when converting SR2 to XLSX?
Convert to XLSX when recipients need an editable spreadsheet rather than a flat data export. It is appropriate for financial models, reporting packs, planning templates, reconciliations, inventory sheets, and business deliverables where formulas, formatting, or multiple worksheets must survive. Choose XLSX over CSV when workbook structure matters, and over PDF when users need to keep calculating, filtering, or annotating the data after delivery. It is the practical target for spreadsheet collaboration inside office-centric organizations.
What should I review after converting SR2 to XLSX?
After conversion, review these destination checks: Open converted output in Excel and verify behavior on real samples; Compare output against the expected structured quality profile; Formula, macro, and advanced-feature behaviour can still vary across spreadsheet engines.
How can I keep quality stable in SR2 to XLSX conversion?
Run representative samples, keep settings deterministic, and monitor these risks: It is richer than CSV, but that complexity can make conversions less predictable; Formula, macro, and advanced-feature behaviour can still vary across spreadsheet engines; Validate destination compatibility before large-batch conversion.