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.
Seven detection capabilities catch everything users upload
AI Image Moderation
Classify image content in context. The same photo can be acceptable or harmful depending on where and how it's posted.
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OCR Moderation
Detect contact information, watermarks, and circumvention attempts hidden as text in images.
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Face Detection
Count faces, estimate age, and detect gender in uploaded images.
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Face Recognition
Match faces across uploads to identify returning users, repeat offenders, and duplicate accounts.
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Celebrity Detection
Identify public figures in user-uploaded images to flag impersonation and unauthorized use.
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AI-Generated Detection
Detect AI-generated and manipulated images in user uploads.
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QR Code Moderation
Detect QR codes in uploaded images and extract the destination URL.
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Lasso's four-layer image moderation pipeline
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.
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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.
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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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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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Image moderation across industries

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

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

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

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

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

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

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

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
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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