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On the recordRead 11 Oct 202622 facts
Attributor
On the record
- AI attribution
- It can use a locally run Ollama vision model to generate metadata and content flags for one image or a batch, with no cloud upload required.github.com · read 11 Oct 2026
- Auto-save limit
- Auto-save is disabled in batch mode to prevent accidental overwrites.github.com · read 11 Oct 2026
- Batch editing
- Batch mode applies selected metadata fields to multiple images while unchecked fields retain their original values.github.com · read 11 Oct 2026
- CSV export
- CSV export includes ready-made presets for Shutterstock, iStock, Adobe Stock, and Envato.github.com · read 11 Oct 2026
- CSV integrations
- CSV export includes ready-made presets for Shutterstock, iStock, Adobe Stock, and Envato, and users can configure their own presets.github.com · read 11 Oct 2026
- Image formats
- Supported image formats are JPEG, PNG, and WebP; TIFF and RAW are listed as unsupported.github.com · read 11 Oct 2026
- Image quality
- Metadata is written into image files without re-encoding them.github.com · read 11 Oct 2026
- Intended users
- The project describes the app as a tool for preparing stock photos for agencies such as Shutterstock, Adobe Stock, Getty Images, and others.github.com · read 11 Oct 2026
- Keyword tools
- Keyword autocomplete uses fuzzy search over more than 1,000 stock photography terms, and keywords can be reordered or copied and pasted.github.com · read 11 Oct 2026
- License
- The application is distributed under the GNU Affero General Public License v3.0.github.com · read 11 Oct 2026
- License and support
- The application is distributed under AGPL-3.0, and its README invites users to support development on Ko-fi.github.com · read 11 Oct 2026
- Limitations
- TIFF and RAW formats are unsupported, and icon view displays only files at the opened folder's root level.github.com · read 11 Oct 2026
- Local AI
- It can generate metadata with a local Ollama vision model, with no cloud upload required.github.com · read 11 Oct 2026
- Local data handling
- Edits and AI results are stored in a local app database and written into image files when saved.github.com · read 11 Oct 2026
- Local storage
- The app keeps working metadata in a local database and writes it into the image file when the user saves.github.com · read 11 Oct 2026
- Metadata editing
- It edits titles, descriptions, keywords, categories, and release filenames and embeds supported metadata without re-encoding images.github.com · read 11 Oct 2026
- Metadata fields
- It supports editing titles, descriptions, keywords, categories, release filenames, and attribution flags.github.com · read 11 Oct 2026
- Notable limit
- Auto-save is disabled in batch mode to prevent accidental overwrites.github.com · read 11 Oct 2026
