Tag Management Documentation
Tag Categories
Understanding the organized structure of tags used to identify images and ad templates
Overview
Tag categories in Posternity are carefully organized to provide meaningful classification for images and ad templates. These categories help users identify content quickly and enable powerful search functionality across the platform.
Purpose of Tag Categories
Tags are used to identify images and ad templates, making it easy for users to find exactly what they're looking for through organized, meaningful search results.
Primary Tag Categories
Posternity's tagging system is organized into several primary categories that cover different aspects of content identification:
🎨 Visual Style Tags
Artistic style, color palette, composition, and visual characteristics
- Abstract, Realistic, Minimalist
- Color schemes (Warm, Cool, Monochrome)
- Artistic movements (Impressionist, Modern, Vintage)
📝 Content Type Tags
Type of content and subject matter classification
- Portrait, Landscape, Still Life
- Business, Personal, Educational
- Product, Event, Concept
🏢 Industry Tags
Business sector and professional context
- Healthcare, Technology, Education
- Retail, Finance, Hospitality
- Non-profit, Government, Creative
🎯 Purpose Tags
Intended use and application context
- Marketing, Informational, Decorative
- Social Media, Print, Web
- Presentation, Report, Advertisement
Template-Specific Categories
For ad templates and design templates, specialized categories help identify the most appropriate content:
Template Type
Business card, poster, social media post, banner, flyer, brochure
Target Audience
Professional, casual, educational, corporate, consumer, B2B
Design Elements
Typography, layout, graphics, photography, illustration
Brand Guidelines
Logo placement, color schemes, brand consistency, style guides
Technical Categories
📐 Format Tags
Technical specifications and format requirements
- Resolution (HD, 4K, Print-ready)
- File format (JPEG, PNG, SVG)
- Aspect ratio (Square, Landscape, Portrait)
🔧 Generation Tags
AI generation method and parameters
- AI model used (DALL-E, Midjourney, Stable Diffusion)
- Generation style (Photorealistic, Artistic, Abstract)
- Quality level (Standard, High, Premium)
📊 Metadata Tags
Creation information and technical details
- Creation date, Creator information
- Usage rights, License type
- Modification history, Version control
Contextual Categories
These categories help users find content based on context and emotional impact:
Mood & Emotion Tags
- Emotional: Happy, Serious, Inspirational, Calm, Energetic
- Seasonal: Spring, Summer, Autumn, Winter, Holiday
- Cultural: Traditional, Modern, International, Local
- Professional: Corporate, Casual, Academic, Creative
Search Optimization
🔍 Semantic Search
Tags work with semantic search to understand context and meaning beyond exact keyword matches
📈 Relevance Ranking
Tag categories help rank search results by relevance and user intent
🎯 Filter Combinations
Multiple tag categories can be combined for precise content discovery
⚡ Fast Retrieval
Optimized database indexing ensures quick search results across all categories
Category Management
Automatic Categorization
AI automatically assigns appropriate categories based on content analysis
Manual Refinement
Users can add or modify categories to improve content discoverability
Community Input
Community feedback helps refine and expand category definitions
Continuous Improvement
Category system evolves based on usage patterns and user feedback
💡 Pro Tip
When creating content, consider which categories would help others discover your work. Good categorization not only improves search results but also enhances the overall user experience for the entire community.