LIVE STREAM MODERATION · REAL-TIME

AI-Powered
Live Stream Moderation

Real-time AI safety for live broadcasts. Detect violations in milliseconds across visual frames, audio, and on-screen text — before they reach your audience.

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<200ms

End-to-end Latency

4/sec

Frame Sampling

3streams

Visual · Audio · OCR

live-monitor · 24/7

6 ROOMS · 1 CRITICAL

risk flaggedmanual review

♥♥

ROOM #A41 LIVE

720p12.3K

hellofollowed

♥♥

ROOM #A42 OK

1080p8.1K

new fangreat

♥♥

ROOM #A43 OK

720p4.7K

emojishared

♥♥

ROOM #A44 OK

1080p15.2K

gift x8joined

♥♥

ROOM #A45 OK

720p2.9K

clapsafe

♥♥

ROOM #A46 OK

1080p6.5K

HIGH RISK · ROOM #A41 · sexual.suggestive_pose frame 00:14:23 · score 891 · detected at 142ms

Latency

142ms

Streams

6/6

Frames/s

4.0

Action

BLOCK

<200ms

Detection Latency

10+ Risk Types

Live Coverage

50+

Languages Supported

99.5%

Recall on Live

Detection Coverage

Ten risk categories.
Every angle of a live broadcast.

Each category covers a specific failure mode in live streaming — from visual policy violations to acoustic risks and identity-level enforcement. Configure thresholds independently per category.

Pornography

Identify obscenity, pornographic comics, and child nudity. Multi-level severity scoring across explicit, suggestive, and softcore tiers.

TIER · CRITICAL

Violence

Real-time flagging of riots, terrorist symbolism, weapons, blood, and child-violence scenes within live broadcast frames.

TIER · CRITICAL

Illicit Advertising

Detect watermark ads, personal-contact screenshots, QR codes, and brand logos used to bypass moderation.

TIER · HIGH

Low-value Content

Identify low-quality footage, empty broadcasts, static scenes, and visually negative content that degrades viewer experience.

TIER · MODERATE

Minor Identification

Fine-grained age estimation to detect the presence of minors in live streams — critical for child-safety compliance.

TIER · HIGH

Suggestive Acoustics

Detect suggestive breathing, moaning, and rhythmic chanting through acoustic analysis — goes beyond simple speech-to-text.

TIER · HIGH

Prohibited Goods

Audio + visual identification of narcotics, gambling, contraband, weapons, and unauthorized transaction prompts.

TIER · CRITICAL

Insult & Harassment

Recognize harassment, slander, slurs, and targeted attacks across spoken language, on-screen text, and danmaku.

TIER · HIGH

Voice Label

Voiceprint biometric recognition to identify recurring offenders and ban evaders across sessions and accounts.

BIOMETRIC

Logo Watermark

Recognize brand logos, platform watermarks, and politically sensitive icons embedded in broadcast frames.

BRAND SAFETY

Core Engine

Three signals.
One verdict.

A single broadcast generates parallel streams of visual, acoustic, and textual data. Our engine analyzes all three simultaneously and reconciles them into one policy decision — in under 200 milliseconds.

SYNCHRONIZED MULTIMODAL

Visual + audio + on-screen text. Cross-verified in parallel.

Single-modality moderation misses the most common bypass techniques. A clean visual frame can ride on top of explicit audio; a benign caption can mask a violent gesture. Our engine fuses three independent detection streams and only signals when the combined evidence crosses your policy threshold.

Visual — frame-level analysis at 4 FPS with bbox-level evidence
Audio — ASR plus non-verbal acoustic risks (moaning, slurs)
OCR / Danmaku — burned-in text, captions, bullet chats

VISUALframe#1248

▸

874 · CRIT

AUDIO12.4s clip

▸

412 · MOD

OCR"add me on..."

▸

PII · MASKED

FUSEDpolicy.live_strict

▸

BLOCK

SUB-200MS DETECTION

Millisecond-grade response. Invisible to viewers.

Every second a violation is on air, it reaches more viewers and creates more exposure. Our processing pipeline is built for the p95 latency that matters — not the average. Even at peak load, 95% of decisions arrive in under 200ms, with hard cutoffs to prevent any single decision from blocking the queue.

Median latency 142ms · p95 under 200ms · p99 under 350ms
Graceful degradation under burst load — no decision starvation
Real-time processing ratio of 0.3 — 1 hour of stream in 18 minutes

P95 LATENCY · LAST 24H 142ms AVG

p95 latency median SLA threshold

Why DeepCleer

Built for the cost of going live.

A bad frame on a livestream is on air for as long as it takes to detect it. Everything we build optimizes for that window.

Millisecond Detection Speed

A refined real-time pipeline that closes the gap between violation and enforcement to under 200ms — fast enough to act before the next frame.

Closed-Loop Operations

Every flag enters a review-and-retrain loop. Hundreds of millions of training samples are iterated continuously to counter the latest bypass tactics.

Global-Scale Elasticity

Multi-region clusters auto-scale to billions of frames daily. Peak-traffic events — sports, festivals, product launches — never starve the queue.

Policy-First Configuration

Bring your own policy taxonomy or start with ours. Configure thresholds, actions, and appeal flows per category — no code change required.

Onboarding

Get started in 3 steps.

Deploy industry-leading moderation with a seamless onboarding process — most teams ship to production in under a week.

Quick Start

Tailored Strategy

Define your custom moderation strategy — risk taxonomy, severity thresholds, action policies — with our specialists.

Seamless Integration

Integrate our API with native SDKs (Python, Node, Go, Java) and go live with real-time content protection.

Ready to Secure
Your Platform?

Get a personalized demo with your content types and use cases.

Request a Demo Talk to Our Expert

Ten risk categories.Every angle of a live broadcast.

Three signals.One verdict.

Visual + audio + on-screen text. Cross-verified in parallel.

Millisecond-grade response. Invisible to viewers.

Built for the cost of going live.

Get started in 3 steps.

Ready to SecureYour Platform?

Ten risk categories.
Every angle of a live broadcast.

Three signals.
One verdict.

Ready to Secure
Your Platform?