Tech riderRev. 21 Sept 2026
  1. 1Runs onLinux, Mac, Windows
  2. 2Metadata scopeexif iptc xmp
  3. 3Batch editingYes
  4. 4RAW file supportNo
  5. 5Platformdesktop
5 lines stated Written from the maker's own pages: github.com
The Attributor homepage

Overview

Attributor is ranked #24 of 31 in photo metadata editors on Specifiction. It runs on Linux, macOS, Windows.

Compared on photo metadata editors

Metadata scope
exif_iptc_xmpgithub.com
Batch editing
Yesgithub.com
RAW file support
Nogithub.com
Platform
desktopgithub.com

Facts

Purpose
Attributor is a desktop application for editing photo metadata before submitting images to stock agencies.github.com · 11 Oct 2026
Metadata editing
It edits titles, descriptions, keywords, categories, and release filenames and embeds supported metadata without re-encoding images.github.com · 11 Oct 2026
Supported formats
It supports JPEG, PNG, and WebP images.github.com · 11 Oct 2026
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 · 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 · 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 · 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 · 11 Oct 2026
Security
The guide says AI attribution uses a local Ollama vision model and requires no cloud upload.github.com · 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 · 11 Oct 2026
Auto-save limit
Auto-save is disabled in batch mode to prevent accidental overwrites.github.com · 11 Oct 2026
Platforms
The project lists Windows 10/11, macOS, and Linux builds, including MSI/portable EXE, DMG, AppImage, and DEB formats.github.com · 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 · 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 · 11 Oct 2026
Metadata fields
It supports editing titles, descriptions, keywords, categories, release filenames, and attribution flags.github.com · 11 Oct 2026
Image formats
Supported image formats are JPEG, PNG, and WebP; TIFF and RAW are listed as unsupported.github.com · 11 Oct 2026
Local AI
It can generate metadata with a local Ollama vision model, with no cloud upload required.github.com · 11 Oct 2026
CSV export
CSV export includes ready-made presets for Shutterstock, iStock, Adobe Stock, and Envato.github.com · 11 Oct 2026
Image quality
Metadata is written into image files without re-encoding them.github.com · 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 · 11 Oct 2026
Notable limit
Auto-save is disabled in batch mode to prevent accidental overwrites.github.com · 11 Oct 2026
License
The application is distributed under the GNU Affero General Public License v3.0.github.com · 11 Oct 2026

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