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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.
MD at a glance
MD
Markdown was created in 2004 by John Gruber with Aaron Swartz, but the later CommonMark effort became important because the original syntax description was too ambiguous to keep implementations aligned.
Format comparison
| Feature | ARW | MD |
|---|---|---|
| File type | Image | Document |
| Extensions |
|
|
| MIME type |
|
|
| Compression / quality | raw | depends |
| File size characteristics | large | medium |
| Compatibility | limited | broad |
| Editability | high | moderate |
| Created year | 2006 | 2004 |
| Inventor | Sony | John Gruber and Aaron Swartz |
| Status | proprietary | active |
| Primary use cases |
|
|
| Common software |
|
|
| Archival suitability | strong | strong |
| Metadata handling | rich | moderate |
| Delivery profile | limited | strong |
| Workflow fit | source | exchange |
| Vector scaling | 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 MD
- authoring
- review and collaboration
- distribution
- Readable in raw plain text.
FAQs
Why convert ARW to MD?
Choose MD as target when convert to Markdown when the output should remain easy to edit in plain text, store in Git, review in diffs, or feed into automated publishing systems.
What changes when converting ARW to MD?
Convert to Markdown when the output should remain easy to edit in plain text, store in Git, review in diffs, or feed into automated publishing systems. It is ideal for documentation, articles, developer guides, release notes, and notes that will later be rendered into richer formats. Use Markdown when semantic structure matters more than exact page layout.
What should I review after converting ARW to MD?
After conversion, review these destination checks: Open converted output in docs generators and verify behavior on real samples; Compare output against the expected depends quality profile; Feature sets vary significantly across implementations.
How can I keep quality stable in ARW to MD conversion?
Run representative samples, keep settings deterministic, and monitor these risks: The simplicity that made Markdown popular also created years of portability ambiguity; Feature sets vary significantly across implementations; Validate destination compatibility before large-batch conversion.