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Attributor

github.com

  • Free plan
  • Windows
  • macOS
  • Linux
7.4 Club score Visit github.com

What Attributor is

Attributor is a free, open-source desktop application for preparing photo metadata before submission to stock agencies. It edits titles, descriptions, keywords, categories, release filenames and attribution flags for JPEG, PNG and WebP images, embedding metadata without re-encoding files. A local Ollama vision model can generate metadata and content flags for single images or batches without cloud upload. Batch editing applies selected fields while unchecked fields keep their existing values; auto-save is disabled in batch mode to avoid overwrites. Keyword autocomplete uses fuzzy search across more than 1,000 stock-photography terms, with reordering and copy-paste tools. CSV export includes presets for Shutterstock, iStock, Adobe Stock and Envato, plus configurable presets. Working data stays in a local database until saved to image files. Attributor runs on Linux, macOS and Windows under AGPL-3.0. TIFF and RAW files are unsupported, and icon view shows only files at the opened folder’s root.

Who it suits

Attributor suits stock photographers preparing metadata for agency submissions. It fits users who want local AI processing and desktop editing on supported image formats.

Good to know, and what to watch

  • Free and open source under AGPL-3.0
  • Local Ollama AI without cloud upload
  • Batch metadata editing
  • Agency-ready CSV presets
  • Metadata saved without re-encoding
  • TIFF and RAW formats unsupported
  • Auto-save disabled in batch mode
  • Icon view shows root-level files only

The verdict

Attributor provides focused metadata preparation with local storage, optional local AI and agency export presets. Users working with TIFF or RAW images will need another workflow for those files.

What the maker publishes

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. source
Auto-save limit
Auto-save is disabled in batch mode to prevent accidental overwrites. source
Batch editing
Batch mode applies selected metadata fields to multiple images while unchecked fields retain their original values. source
CSV export
CSV export includes ready-made presets for Shutterstock, iStock, Adobe Stock, and Envato. source
CSV integrations
CSV export includes ready-made presets for Shutterstock, iStock, Adobe Stock, and Envato, and users can configure their own presets. source
Image formats
Supported image formats are JPEG, PNG, and WebP; TIFF and RAW are listed as unsupported. source
Image quality
Metadata is written into image files without re-encoding them. source
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. source
Keyword tools
Keyword autocomplete uses fuzzy search over more than 1,000 stock photography terms, and keywords can be reordered or copied and pasted. source
License
The application is distributed under the GNU Affero General Public License v3.0. source
License and support
The application is distributed under AGPL-3.0, and its README invites users to support development on Ko-fi. source
Limitations
TIFF and RAW formats are unsupported, and icon view displays only files at the opened folder's root level. source
Local AI
It can generate metadata with a local Ollama vision model, with no cloud upload required. source
Local data handling
Edits and AI results are stored in a local app database and written into image files when saved. source
Local storage
The app keeps working metadata in a local database and writes it into the image file when the user saves. source
Metadata editing
It edits titles, descriptions, keywords, categories, and release filenames and embeds supported metadata without re-encoding images. source
Metadata fields
It supports editing titles, descriptions, keywords, categories, release filenames, and attribution flags. source
Notable limit
Auto-save is disabled in batch mode to prevent accidental overwrites. source
Platforms
The project lists Windows 10/11, macOS, and Linux builds, including MSI/portable EXE, DMG, AppImage, and DEB formats. source
Purpose
Attributor is a desktop application for editing photo metadata before submitting images to stock agencies. source
Security
The guide says AI attribution uses a local Ollama vision model and requires no cloud upload. source
Supported formats
It supports JPEG, PNG, and WebP images. source

Checked against the maker's pages on 11 Oct 2026.