Image Moderation

Intelligent image moderation for user-generated content

One image hides a phone number. The next is AI-generated. The next embeds a QR code to a phishing site. Lasso runs seven image detection capabilities in one pipeline, so your platform is ready for whatever users post.

Lasso's four-layer image moderation pipeline

1ML Detection

ML Detection

Image enters the pipeline. ML models classify visual content, detect faces, extract text, and scan for QR codes. Clear violations are caught here. Ambiguous content moves to the next layer.

See Lasso in action
Marketplace product listing image with a QR code sticker
QR code detected
QR Detection
1 code found
QR URL
t.me/seller_direct_payURL
Type
Standard QR · product surfaceQR code
Result
1 detected · 1 URL extracteddecoded
Detection confidence99%
41ms1 URL
2Custom Rules

Custom Rules

ML output is checked against your platform rules. What's acceptable on a dating app differs from a kids' gaming platform. Your policies decide what passes and what's blocked.

See Lasso in action
Layer 1 Output
1t.me/seller_direct_pay
2Standard QR · product surface
31 code detected · 1 URL
Custom Rules
BlockOff-platform payment links
t.me/* domains (Telegram)
paypal.me/*
venmo.com/pay/*
cash.app/$*
Blocked
Matches off-platform payment link rule
Rule #14
3AI Moderator

AI Moderator

AI Moderator handles what rules can't cover. It reads context: is a knife in a kitchen or a threat? Is nudity medical or explicit? Resolves borderline cases that need judgment beyond classification.

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Avatar with high-similarity celebrity match
Identity match
AI Moderator
Analyzing
Embedding
512-d vector against 50k celebrities
Top match
Public figure A — cosine 0.92
Liveness
Static portrait — no motion cues
Classification
Impersonation — celebrity likeness on user account
Auto-removed
Celebrity likeness on unverified account
96% confidence
4Human Review

Human Review

Remaining edge cases reach your team with full context: the original image, detection results, AI reasoning, and a suggested action. Every human decision feeds back into the pipeline.

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Queued for review
AI Moderator reasoning
Possible look-alike: Public figure B — partial profile, glasses obscure landmarks.
Human Review1 of 3
Closest match
Public figure B — actor
AI assessment
Likely look-alike — glasses partially occlude landmarks
AI confidence
Identity match74%
Below auto-action threshold (90%)
This decision will train the AI for future similar content

Image moderation across industries

Gaming industry — moderation for esports and gaming platforms
Gaming
Gaming

Hate symbols in avatars. Obfuscated slurs in memes. Banned players returning with new accounts.

  • Screenshots with hidden hate symbols and leet speak
  • Profile avatars flagged for violent or extremist imagery
  • Face recognition matching banned players across accounts
More on Gaming
Chat industry — moderation for messaging platforms
Chat
Chat

Unwanted explicit images in DMs. Phishing QR codes. Hidden contact info in shared photos.

  • Unsolicited nudity detected and blocked before delivery
  • QR codes in shared images scanned for phishing URLs
  • OCR catches phone numbers and handles in photo messages
More on Chat
Dating industry — moderation for dating apps
Dating
Dating

Hidden contact info in profile photos. AI-generated selfies. Explicit images in DMs. QR codes routing users off-platform.

  • Phone numbers and social handles embedded in profile pics
  • AI-generated selfies flagged as synthetic
  • Age estimation on profile photos for safety compliance
More on Dating
Adult industry — moderation for adult content platforms
Adult
Adult

Age verification on uploads. Performer identity matching. Consent documentation checks.

  • Face detection estimates age on every uploaded image
  • Face recognition verifies performer identity across uploads
  • OCR validates consent documentation in submitted content
More on Adult
Marketplaces industry — moderation for e-commerce platforms
Marketplaces
Marketplaces

Payment links embedded in product photos. Counterfeit listings with celebrity endorsements. AI-generated product images.

  • QR codes and payment URLs hidden in product listings
  • Celebrity faces detected in unauthorized endorsements
  • AI-generated product images flagged as synthetic
More on Marketplaces
Events industry — moderation for event platforms
Events
Events

Drug sale images at festivals. Explicit content in crowd-sourced photo streams.

  • Drug paraphernalia detected in user-uploaded event photos
  • Nudity and violence caught in real-time photo streams
  • Contact info in shared images blocked before publishing
More on Events
Social industry — moderation for social media platforms
Social
Social

Celebrity impersonation accounts. AI-generated misinformation. Phishing QR codes in posts.

  • Celebrity detection flags impersonation profiles
  • AI-generated images identified in misinformation posts
  • QR codes in images scanned for malicious destinations
More on Social
Publishing industry — moderation for media and publishing platforms
Publishing
Publishing

Fake celebrity images. Harmful content in comment sections that damages brand reputation.

  • AI-generated celebrity images caught before publication
  • Violent and explicit imagery blocked in comment uploads
  • Hidden text and watermarks detected in user-submitted photos
More on Publishing
FAQs

Image moderation, answered

Image moderation is the process of analyzing user-uploaded images for policy violations before they reach other users. It covers visual content like nudity and violence, but also text hidden in images, faces, identity signals, AI-generated content, and embedded links like QR codes.

Images pass through multiple detection layers. Machine learning classifies visual content. Custom rules apply your platform's specific policies. Context-aware AI resolves edge cases. Human reviewers handle what automation can't. Each layer adds judgment the previous one can't provide.

Accuracy depends on the type of content. Clear violations like explicit nudity are detected at 99%+ accuracy. Context-dependent content like violence or drugs requires multiple detection layers, which is why Lasso uses a four-layer pipeline rather than a single classifier.

Automated layers process images in real time. Users experience no upload delay. Content routed to human review is queued immediately while the rest of the pipeline continues at full speed.

Yes, but for a fraction of the content. Lasso's pipeline automates 99.9% of decisions. The remaining edge cases reach human reviewers with full context: the original image, detection results, AI reasoning, and a suggested action. Every human decision improves the system.

Yes. Lasso's custom rules layer lets you define what's acceptable for your specific platform. The same image can be approved on a dating app and rejected on a kids' gaming platform. You set thresholds, categories, and actions per content type.

Send images via API. Configure rules, review queues, and actions in the dashboard. Lasso is a full moderation platform, not just an API endpoint — everything you need to moderate images is included.

Not every image is a clear violation or clearly safe. Lasso's AI Moderator reads context: is a knife in a kitchen or a threat? Is skin exposure medical or explicit? It resolves borderline cases that rules alone can't determine. What it can't resolve goes to human reviewers with full context and a suggested action.

Yes. Lasso moderates images, video, and text. The same four-layer pipeline applies to each content type, with detection capabilities specific to each format. Video moderation analyzes frames and audio. Text moderation covers messages, comments, and usernames.

An API returns a classification score. A platform adds rule enforcement, context-aware AI, human review workflows, and a feedback loop that improves over time. Lasso is a platform — you get the detection, the decision logic, the review tools, and the learning system in one product.

Lasso runs seven detection capabilities on every image: AI image moderation for visual content classification, OCR for hidden text, face detection for age and gender, face recognition for identity matching, celebrity detection for public figures, AI-generated image detection for deepfakes, and QR code moderation for embedded links.

Lasso automates 99.9% of image moderation decisions. Clear violations are detected at 99%+ accuracy. Context-dependent cases pass through custom rules and AI review before reaching human moderators. Lasso is rated 4.9★ on G2 in content moderation.

Lasso includes GDPR-compliant data handling, built-in DSA compliance reports, full audit logs of every moderation decision, and configurable data retention. PII detection catches personal data like phone numbers and email addresses in images before they're exposed.

See what's hiding in your images

Seven detection capabilities. One pipeline. One pipeline, one API.

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