As part of ForVoyez's development, I designed and developed an innovative Strapi plugin that automates media metadata enrichment. This plugin addresses a major challenge in content management: image SEO optimization, a time-consuming but essential task for search engine ranking.
The Solution
The plugin integrates naturally into Strapi's administration interface and fully automates the media SEO optimization process. It analyzes each uploaded image and automatically generates:
- SEO-optimized titles
- Descriptive and relevant alt texts
- Enhanced captions
- Contextual descriptions
Technical Features
Native Integration
- Developed in Node.js for full Strapi compatibility
- User interface integrated into the admin panel
- Hook system for automatic processing of new uploads
Advanced Features
- Batch processing of existing media
- Queue system for analysis management
- Preview and editing interface for suggestions
- Modification history with rollback option
Performance and Reliability
- Asynchronous processing management
- Smart retry system
- Optimized result caching
- Performance monitoring
Business Impact
The implementation of this plugin has enabled:
- 90% reduction in time spent on media SEO optimization
- Significant improvement in metadata quality
- Better consistency in media descriptions
- Optimized image indexing on search engines
Technologies Used
- Node.js for the plugin core
- Strapi Plugin API
- RESTful APIs
- Queue system for asynchronous processing
- Integrated React user interface
