Publisher
NeroSubcategories
Average rating
Deze score is berekend door AI op basis van publiek beschikbare informatie.
3.8 / 5
About this software
Nero AI Photo Tagger uses machine learning to automatically tag and organize photos by content. The tool detects scenes, faces, and text across more than 160 categories and can write selected AI tags into JPEG metadata for system-wide search.
It integrates with Nero MediaHome so tags are sent to the MediaHome library for filtered search, smart albums, and slideshows. Analysis results are kept under user control and can be stored locally according to Nero support documentation.
Purchase
Nero AI Photo Tagger
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€39.99
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Benefits
- Automatic content tagging: Identifies image content across more than 160 predefined categories.
- Multiple detection modes: Supports scene, face, and text detection for varied tagging needs.
- Integration with MediaHome: Sends AI tags to Nero MediaHome for search and smart albums.
- Save tags to photos: Writes selected AI tags into JPEG metadata for system-wide search.
- Local data control: Analysis results and tags can be stored locally on the user device.
Available languages
- English
- German
- Spanish
- Italian
- Dutch
Support information
- How-to articles: Step-by-step guides cover adding AI tags and sending them to MediaHome.
- Support knowledgebase: Nero support articles address common issues and troubleshooting steps.
- Product status checks: Nero Start can verify product status and repair installations when needed.
- Contact options: Nero provides customer support channels via its support portal and live guide.
- User reviews available: Independent review platforms list user feedback about Nero AI services.
Frequently asked questions
What is Nero AI Photo Tagger?
An AI-based tool that analyzes images to generate descriptive tags and metadata, helping with organization, search, and filtering of photo collections.
How does Nero AI Photo Tagger generate tags for images?
It applies machine learning to detect visual elements such as objects, scenes, and text, then proposes descriptive tags for review and application.
How are tags used within image management workflows?
Tags add searchable metadata to images, enabling filtering, automated organization, and faster retrieval in digital asset management or custom cataloging systems.
What privacy and data-handling factors should be considered?
Confirm where image analysis occurs (local or cloud), data retention and deletion policies, and access controls to align with privacy and compliance requirements.