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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Lenso.ai
✓ verifiedFreemium
AI reverse image search with facial recognition to find places, people, duplicates, and original sources online.
1.6M visits/mo23K saves
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Face Search AI
✓ verifiedFreemium
Reverse face-search engine with 3 free daily searches and paid credit tiers to unlock source URLs and confidence scores.
144K visits/mo
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Twelve Labs
✓ verifiedFreemium
Video-native AI infrastructure that indexes footage for natural-language search, highlight creation, and compliance review at scale.
150K visits/mo1.8K saves
Pricing
No public pricing
Basic Starter: $7.77/mo (10 credits)
Premium: $14.20/mo (50 credits)
Professional: $19.95/mo (150 credits)
Business: $50/mo (600 credits)
No public pricing
Core features
- ✦Reverse image search across categories
- ✦Facial recognition (face search)
- ✦Duplicate detection and original-source tracing
- ✦Advanced filters by domain, language, size, and date
- ✦Research mode for up to 10x more results
- ✦Developer API for image and face search
- ✦Reverse face search on the public web
- ✦In-memory processing, no stored uploads
- ✦Match counts and confidence bands
- ✦Full source URLs and thumbnails (paid)
- ✦Per-match confidence scores
- ✦Free permanent opt-out for anyone
- ✦Natural-language search across entire video libraries
- ✦Automatic scene and pacing segmentation
- ✦Compliance and brand-safety risk detection with explainable AI
- ✦Automated highlight-reel assembly from long-form footage
- ✦Insight generation across large video datasets
- ✦API, SDK, and MCP integrations for developers
Use cases
- →Finding where a face or photo appears online
- →Tracing the original source of an image
- →Protecting image copyrights
- →Integrating reverse image search via API
- →Verifying dating matches and spotting catfish
- →Confirming a person before meeting
- →Finding recycled or stolen photos of yourself
- →OSINT and source verification
- →Media companies searching and repurposing large video archives
- →Compliance teams scanning footage for policy risks
- →Content teams generating highlight clips from raw footage
- →Developers building video-search features via API
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