Text Moderation

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.

From message to decision in four layers

1ML Detection

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.

See Lasso in action
Gaming chat with Cyrillic character substitution
Cross-script · Cyrillic in Latin word
ML Classification
Scoring
Message 1
“rematch??”EN · clean
Message 2
“lol noob, what an idіоt”EN + 2 Cyrillic
Message 3
“report incoming”EN · clean
Script-anomaly confidence96%
~120ms · 3 msgs200+ languages
2Custom Rules

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.

See Lasso in action
Rule Input
01Message 1 · EN · clean
02Message 2 · EN + Cyrillic substitution
03Message 3 · EN · clean
Custom Rules
Match
Rule · Gaming chat (EN region)
Block Cyrillic substitution in Latin-script profanity
Message 2 · 2 Cyrillic chars in EN word
Auto-flagged
Cross-script substitution rule matched
3AI Moderator

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.

See Lasso in action
this app is super slow lol, hit me up here: t.e.s.t(at)g.m.a.i.l(dot)com
@alex_k · 2m ago
Obfuscated PII pattern
AI Moderator
Analyzing
Extract
Pattern t.e.s.t(at)g.m.a.i.l(dot)com
Decode
Normalizes to test@gmail.com
Pattern
Obfuscated email matches platform leakage signal
Classify
Off-platform solicitation in dating chat context
Flagged
Below auto-action threshold
78% confidence
4Human Review

Human Review

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.

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Queued for review
this app is super slow lol, hit me up here: t.e.s.t(at)g.m.a.i.l(dot)com
@alex_k · 2m ago
AI Moderator reasoning
Decoded to test@gmail.com — obfuscated email pattern matching off-platform solicitation.
Human Review1 of 4
Original text
t.e.s.t(at)g.m.a.i.l(dot)com
Normalized
test@gmail.com
AI assessment
Obfuscated email — off-platform solicitation pattern
AI confidence
Off-platform PII78%
Below auto-action threshold (90%)
This decision will train the AI for future similar content

Text moderation across industries

Gaming industry — moderation for gaming platforms
Gaming
Gaming

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
More on Gaming
Chat industry — moderation for messaging platforms
Chat
Chat

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
More on Chat
Dating industry — moderation for dating apps
Dating
Dating

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
More on Dating
Adult industry — moderation for adult content platforms
Adult
Adult

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
More on Adult
Marketplaces industry — moderation for e-commerce platforms
Marketplaces
Marketplaces

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
More on Marketplaces
Events industry — moderation for event platforms
Events
Events

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
More on Events
Social industry — moderation for social media platforms
Social
Social

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
More on Social
Publishing industry — moderation for media and publishing platforms
Publishing
Publishing

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
More on Publishing
FAQs

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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