Intelligent text moderation for user-generated content
Text carries more than words: personal info, external links, evasion tactics, AI-generated content. Lasso's text moderation runs six detection capabilities in one pipeline, checking each before a message goes live.
Six capabilities for every type of user-generated text risk
AI Text Moderation
Detect toxicity, hate speech, spam, and evasion attempts in real time across 200+ languages.
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Toxicity & Profanity Detection
Detect toxic language, hate speech, and profanity. Catch evasion tactics like leet speak and unicode tricks that bypass keyword filters.
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PII Detection
Detect emails, phone numbers, URLs, and financial data in user-generated text before personal information reaches other users.
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External Link Detection
Detect external links in user-generated text. Classify shortened URLs, obfuscated domains, and redirect chains against your platform rules.
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Multi-Language Support
Moderate text across 200+ languages. Same four-layer pipeline, same detection depth, with in-dashboard translation for your review team.
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AI-Generated Text Detection
Detect AI-generated text in messages, reviews, and profiles. Returns an AI-generation probability score alongside all other detection signals.
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From message to decision in four layers
ML Detection
Message enters the pipeline. ML models classify toxicity, detect PII, extract links, and flag profanity. ML catches clear violations here. Ambiguous content moves to the next layer.
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Custom Rules
Custom rules check that output against your policies. Trash talk in a gaming chat is different from the same words on a kids' education app. 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 "I'll kill you" a threat or a gaming expression? Is a phone number shared helpfully or as off-platform solicitation? Resolves borderline cases that need judgment beyond classification.
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Remaining edge cases reach your team with full context: the original message, detection results, AI reasoning, and a suggested action. Every human decision feeds back into the pipeline.
See Lasso in actionText moderation across industries

Moderate large volumes in real time.
- Leet speak slurs in competitive chat bypassing keyword filters
- Toxic usernames with unicode character substitutions
- Hate speech disguised as in-game trash talk

Real-time moderation at message speed.
- Grooming language patterns detected across message history
- Shortened phishing URLs in shared links
- PII like phone numbers obfuscated with spaces and dots

Catch scams and off-platform solicitation.
- Romance scam scripts detected in opening messages
- Phone numbers embedded in profile bio text
- Off-platform payment handles shared in chat

Enforce compliance across profiles and comments.
- Underage age claims in user profiles flagged for review
- Solicitation language patterns in comment sections
- FOSTA-SESTA compliance terminology monitoring

Stop off-platform leakage in listings and chat.
- Phone numbers hidden in product descriptions to bypass platform fees
- AI-generated fake reviews inflating seller ratings
- Shortened links to competing marketplaces in buyer-seller chat

Moderate event chat at peak traffic.
- Hate speech in live event chat during broadcasts
- Spam floods during high-traffic live streams
- Drug solicitation in festival community boards

Moderate at scale across 200+ languages.
- Coordinated harassment targeting specific users across threads
- AI-generated misinformation in post comments
- Hate speech in 50+ languages across global communities

Keep comment sections safe for your brand.
- Personal attacks against journalists in article comments
- Spam links in reader discussion forums
- Coordinated misinformation planted in comment sections
Text moderation, answered
Text moderation analyzes user-generated text for policy violations before it reaches other users. It covers toxicity and hate speech, but also PII like phone numbers and emails, external links, evasion tactics like leet speak, AI-generated content, and harmful patterns across 200+ languages.
Text passes through multiple detection layers. Machine learning classifies content and extracts signals. Custom rules apply your platform-specific policies. Context-aware AI resolves edge cases. Human reviewers handle what automation can't.
Accuracy depends on the type of content. Lasso catches clear violations like slurs and spam at 99%+ accuracy. Context-dependent content like sarcasm or coded language requires multiple detection layers, which is why Lasso uses a four-layer pipeline rather than a single classifier. Lasso automates 99.9% of text moderation decisions.
Automated layers process text in real time. Users experience no delay when sending messages. Lasso queues content routed to human review 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 message, 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 message can be allowed in an adult gaming lobby and blocked in a children's education app. You set thresholds, categories, word lists, and actions per content type.
Users disguise harmful content with leet speak, unicode substitutions, phonetic spelling, and character insertion. Lasso's ML layer detects common evasion patterns. Custom rules catch platform-specific variations. AI Moderator resolves novel evasion that neither ML nor rules have seen before.
Lasso moderates text across 200+ languages using the same four-layer pipeline. In-dashboard translation lets your moderators review flagged content in any language without external tools. The same detection depth applies to every language.
Yes. Lasso moderates text, images, video, and audio. The same four-layer pipeline applies to each content type, with detection capabilities specific to each format. Image moderation runs seven detection capabilities. Video moderation analyzes frames and audio.
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: detection, decision logic, review tools, and learning system in one product.
Lasso runs six detection capabilities on every message: AI text moderation for toxicity and hate speech, toxicity and profanity detection with evasion bypass, PII detection for personal information, external link detection for URLs and phishing, multi-language support across 200+ languages, and AI-generated text detection for machine-written content.
Lasso automates 99.9% of text moderation decisions. CrazyGames (45M+ monthly users) runs with moderators spending less than 15 minutes per day. Bloxd processes 100M+ messages with 99.9% automation. Lasso is rated 4.9 stars 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 before other users see it.
See what's hiding in your text
Lasso's text moderation catches the toxicity, PII, and evasion that bypasses every other filter. One pipeline, one API.
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