Violence in a community feed
Graphic content shared for shock value in a gaming community
Violence detected
Detect harmful content in images with AI image moderation
Moderate NSFW content, violence, drugs, and policy violations in user-generated images. Lasso's four-layer pipeline classifies, applies your rules, and resolves grey areas, automating 99% of image moderation.
Implicit content classification
Same skin exposure, different context, different moderation outcome
Context classifiedWeapon-shaped objects
Decorative items that trigger false positives in basic weapon classifiers
Weapon-like object detectedDisguised drug sales
Innocent-looking product photos with contextual signals that reveal drug sales
Drugs detectedListing flagged
AI image moderation: four layers to catch harmful visual content
1AI classification
Classification through machine learning: high-confidence decisions on clear violations.
Uncertain content forwarded to custom models.
See Lasso in action
Violence detected
Image Classification
3 categories detected
Item 1
Physical violenceviolence
Item 2
People fightingaction
Item 3
Public settingcontext
Classification confidence96%
2Custom rules
Custom models enforce your platform's policy and rules.
What's acceptable on a dating app differs from a kids' gaming platform.
See Lasso in actionLayer 1 Output
1Physical violence — 96%
2People fighting — 94%
3Public setting — 88%
Custom Rules
BlockViolence policy
Physical violence
Weapons visible
Blood / gore
Self-harm
Blocked
Violence detected in image
3AI moderator
AI Moderator resolves image edge cases.
Context-aware decisions on borderline visual content that rules alone can't determine.
See Lasso in action
Weapon-shaped object detected
AI Moderator
Analyzing
Extract
Weapon-shaped object detected
Decode
Lampshade attached + electrical cord visible
Pattern recognized
Decorative item + living room context
Classification
False positive — weapon-shaped lamp, not a firearm
Approved
Decorative object, not a weapon
4Human review
Gray area content queues for human review.
Each item shows: relevant confidence scores, original image, AI reasoning, and suggested action. Every human decision trains the system.
See Lasso in actionQueued for review
AI Moderator reasoning
Weapon-shaped object detected but context suggests decorative lamp — below confidence threshold
Human Review1 of 3
Detected object
AK-47 shaped lamp
AI assessment
Likely false positive — domestic setting, electrical cord, lampshade
AI confidence
Confidence74%
Below auto-action threshold (90%)
This decision will train the AI for future similar content
Detection capabilities for AI image moderation.
Explicit nudity, non-explicit nudity of intimate parts and kissing, swimwear, violence, visually disturbing, rude gestures, drugs & tobacco, alcohol, gambling, hate symbols.
Image feed
Safe
Flagged
Safe
Review
Safe
Flagged
Classification results
Explicit nudity
Violence
Swimwear
Hate symbols
Sub-categories like explicit sexual activity, kissing on the lips, weapons, blood, self-harm, and smoking give you granular control over what gets flagged.
High-confidence violations auto-action; borderline flags route to review. You set the threshold.
Image feed
Safe
Flagged
Safe
Review
Safe
Flagged
Classification results
Explicit nudity
Violence
Swimwear
Hate symbols
Lasso: next-gen AI content moderation
99%
On autopilot, and getting smarter every day.
Three layers of AI handle the volume, your rules, and the grey areas. Your team only sees what truly needs them, and every decision they make improves the system.
Keep users safe without driving them away.
Customizable moderation that lets you find the right balance between safety and user experience. So you protect your community without suppressing the culture that makes it worth joining.
Complexity removed from content moderation.
One API. Clear dashboards. A moderation pipeline built around one-click actions and the right context, right where you need it.
★★★★★
4.9
Highest rated in content moderation on G2.
Every platform has different image risks. AI image moderation handles them.
Gaming
Users upload hate symbols, racist imagery, and offensive avatars.
- Profile photos displaying Nazi symbols, swastikas, and other hate insignia
- Racist imagery, slurs, and symbols embedded in avatars and profile pictures
- Hate symbols hidden in meme formats or obfuscated to slip past basic filters
Dating
Explicit content in DMs and boundary-pushing profile photos.
- Phone numbers hidden in profile photos
- Social handles embedded in images
- Payment addresses in profile pics
Marketplaces
Prohibited items and policy violations hidden in product listings.
- Hidden URLs in product images
- Venmo/payment handles in photos
- External marketplace links
FAQs
AI image moderation, answered
State of the art detection accuracy across all image categories. Custom models trained on your data improve accuracy further. Confidence scores help you set the threshold per content type.
Ten top-level categories: explicit nudity, non-explicit nudity and kissing, swimwear and underwear, violence, visually disturbing content, rude gestures, drugs and tobacco, alcohol, gambling, and hate symbols. All are broken into sub-types. Plus custom models for platform-specific categories.
Yes. Image classification applies to all visual content types: photographs, illustrations, avatars, anime, pixel art, and 3D renders. NSFW, violence, and all other categories work across content types.
Extraction and analysis in realtime, no delay experienced by users. At millions of images, Lasso maintains predictable latency for real-time moderation.
Yes. You can configure detection categories and confidence thresholds per content type. Profile photos can have different rules than DM images. A bikini photo might pass in a dating profile but get flagged on a children's platform. Configurable without code.
See what's hiding in your users' images
Lasso's AI image moderation catches harmful visual content that other tools miss. Set up in minutes, not months.
Book a demo
Lasso Moderation
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