Plant Detective
sedrad.com Education
AI-powered plant identification with offline toxicity warnings & safety info
- Downloads
- 82+
- on Google Play
- Price
- Free
- No in-app purchases
- Updated
- Mar 10
- 2026 · v2.1.0
Screenshots
About Plant Detective
Identify plants instantly with AI - completely offline!
Plant Detective uses advanced artificial intelligence to identify 8,000+ plant species with crucial safety warnings about toxic plants, edibility ratings, and interactive distribution maps.
🌿 What makes us special:
• AI-Powered: Vision Transformer model
• Completely Offline: No internet needed after initial setup. Only optional for reference images.
• Safety Focused: Toxicity warnings for 800+ dangerous plants
• Edibility Ratings: Know which plants are safe to eat (PFAF data)
• 2 Languages: Common names in English and German (soon French, Spanish, and Portuguese) (69,000+ names)
• Distribution Maps: See where plants occur with OpenStreetMap
• Reference Images: Plant photos from Wikidata and GBIF
• Scientifically Accurate: Based on real botanical databases
• Easy to Use: Just point, snap, and identify
Perfect for nature lovers, hikers, foragers, gardeners, and anyone curious about plants!
Built with scientific data from GBIF, TPPT toxicity database, PFAF, Wikidata and other botanical databases. Covers Southwestern European flora with high accuracy.
Safety First: Never consume plants based on app identification alone. Always consult experts for safety-critical decisions.
Version 2.0.0
🌿 Massively Expanded Plant Database
• Now covers 8,000+ species with 69,000+ common names
• 2 languages: English, German, soon also: French, Spanish, Portuguese
• Wikipedia descriptions and conservation status
• Edibility and medicinal ratings from PFAF database
🖼️ Reference Images
• High-quality plant images from Wikidata and GBIF
🧠 AI Improvements
• Vision Transformer model with high accuracy
• Better model with improved identification accuracy
🛡️ Enhanced Safety Features
• 800+ toxic plants with detailed warnings
• Edibility ratings (0-5 scale)
• Medicinal use ratings (educational)
• Toxic plant parts identification
Plant Detective uses advanced artificial intelligence to identify 8,000+ plant species with crucial safety warnings about toxic plants, edibility ratings, and interactive distribution maps.
🌿 What makes us special:
• AI-Powered: Vision Transformer model
• Completely Offline: No internet needed after initial setup. Only optional for reference images.
• Safety Focused: Toxicity warnings for 800+ dangerous plants
• Edibility Ratings: Know which plants are safe to eat (PFAF data)
• 2 Languages: Common names in English and German (soon French, Spanish, and Portuguese) (69,000+ names)
• Distribution Maps: See where plants occur with OpenStreetMap
• Reference Images: Plant photos from Wikidata and GBIF
• Scientifically Accurate: Based on real botanical databases
• Easy to Use: Just point, snap, and identify
Perfect for nature lovers, hikers, foragers, gardeners, and anyone curious about plants!
Built with scientific data from GBIF, TPPT toxicity database, PFAF, Wikidata and other botanical databases. Covers Southwestern European flora with high accuracy.
Safety First: Never consume plants based on app identification alone. Always consult experts for safety-critical decisions.
Version 2.0.0
🌿 Massively Expanded Plant Database
• Now covers 8,000+ species with 69,000+ common names
• 2 languages: English, German, soon also: French, Spanish, Portuguese
• Wikipedia descriptions and conservation status
• Edibility and medicinal ratings from PFAF database
🖼️ Reference Images
• High-quality plant images from Wikidata and GBIF
🧠 AI Improvements
• Vision Transformer model with high accuracy
• Better model with improved identification accuracy
🛡️ Enhanced Safety Features
• 800+ toxic plants with detailed warnings
• Edibility ratings (0-5 scale)
• Medicinal use ratings (educational)
• Toxic plant parts identification
What’s new
Version 2.1.0 · Updated March 10, 2026
* Updating Plant database with latest information * Using Googles latest machine learning runtime LiteRT instead of ONNX * Delivering asset from Google Play Store instead of external server
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