Hate speech in a vlog with clean visuals
The visuals pass image moderation. Audio transcription catches hate speech at 02:14.
Hate speech detected in audio
Extract and moderate the audio track from video content
Video audio transcription extracts the audio track from video and transcribes spoken content to text. Violations captured in the transcript are handled by your rules, the AI Moderator, and human review.
Spoken PII in a live broadcast
A streamer reveals a target's address on air. Audio transcription detects spoken PII.
Spoken PII detectedA harmful remark on air at a live event
Transcript moderation runs in parallel with visual moderation, in real time.
Flagged in real timeExplicit solicitation in a dating video message
The image checks out, but the audio transcript flags explicit solicitation.
Explicit solicitation flagged in audio
How Lasso transcribes and moderates video audio
1Transcription & ML
The audio track is extracted from video and transcribed to text, segment by segment.
Speech-to-text runs per segment. ML models classify the transcript for hate speech, threats, profanity, and PII patterns.
See Lasso in action
Speech segment 02:41–02:47
Audio Transcription
Transcript classified
Transcript segment
“…lives at 4219 Maple Street…”PII
Language detected
English — auto-routedLang
Timestamp
Spoken at 02:41Timestamp
Classification confidence97%
2Custom rules
Your platform rules applied to the transcript.
Custom word lists, brand-safety filters, competitor mentions, prohibited topics, and language-specific thresholds apply to the transcript. These are the same rules that govern your other content types, so audio needs no separate configuration.
See Lasso in actionLayer 1 Output
1Segment 02:41 transcribed
2PII pattern: street address
3Profanity scan: clear
Custom Rules
BlockPersonal info spoken in audio
Street addresses
Phone numbers
Email addresses
Social handles
Blocked
Segment removed as the stream runs
3AI Moderator
Grey-area transcript content reviewed by the AI Moderator.
Context-dependent speech evaluated: idioms, regional expressions, dual-meaning phrases. Fewer false positives from gaming slang or cultural language.
See Lasso in action
Context-dependent speech
AI Moderator
Analyzing
Transcript analysis
Vlog narration, single speaker, conversational tone
Phrase flagged
“don’t belong here” — exclusionary phrasing toward a group
Context check
Earlier segments reference a protected group, not individuals
Classification
Hate speech — exclusionary statement, context-dependent
Escalated
Confidence below auto-action threshold
4Human review
Borderline cases reach moderators with full context.
The video segment, the transcript, the flagged timestamp, and the AI assessment — all in one view. Human decisions retrain the AI Moderator for similar future cases.
See Lasso in actionQueued for review
AI Moderator reasoning
Phrase targets a group referenced earlier in the transcript — probable hate speech, context partially ambiguous.
Human Review1 of 4
Detection data
Hate speech: 74% | Segment: 02:14–02:21
AI assessment
Probable hate speech — exclusionary phrasing; group referenced earlier in the transcript
AI confidence
Hate speech74%
Below auto-action threshold (90%)
This decision retrains the AI Moderator for similar cases
Capabilities included in video audio transcription
Extracts the audio track from video files and live streams and converts spoken content to timestamped text that feeds the moderation pipeline automatically.
Video upload
festival-recap.mp4 · 03:42
Audio track extracted
Speech-to-text · per segment
Timestamped transcript
00:12
00:34
01:05
Fed to moderation pipelineSpoken content transcribed across 200+ languages. Automatic language detection routes each video to the appropriate model. Moderation rules apply in the detected language.
Every transcript violation is linked to its exact position in the video. Moderators jump directly to the flagged segment without watching the full clip.
Lasso transcribes and moderates audio from live video streams, detecting violations during the broadcast. Your rules and alerts apply as the stream runs.
Video upload
festival-recap.mp4 · 03:42
Audio track extracted
Speech-to-text · per segment
Timestamped transcript
00:12
00:34
01:05
Fed to moderation pipelineLasso: next-gen AI content moderation
99.9%
On autopilot, and getting smarter every day.
Three layers of AI handle the volume, your rules, and the grey areas. Your team only sees what truly needs them, and every decision they make improves the system.
Keep users safe without driving them away.
Customizable moderation that lets you find the right balance between safety and user experience. So you protect your community without suppressing the culture that makes it worth joining.
Complexity removed from content moderation.
One API. Clear dashboards. A moderation pipeline built around one-click actions and the right context, right where you need it.
★★★★★
4.9
Highest rated in content moderation on G2.
Some violations are only spoken. Lasso catches them.
Social platforms
Harmful speech in voiceovers and replies, where the visuals look clean.
- Creators delivering hate speech in voiceovers with clean visuals that pass image moderation.
- Verbal threats in short-form video replies with no on-screen text.
Events & live streaming
Spoken violations during live sets, caught as the broadcast runs.
- Festival hosts dropping slurs during sets that visual moderation has no way to detect.
- Spoken harassment in live event streams that only surfaces in post-broadcast reports.
Dating
Verbal solicitation, PII, and threats in video messages that text and image filters miss.
- Explicit verbal solicitation in video DMs where image moderation sees nothing wrong.
- Users speaking their Telegram handle and phone number in profile introduction videos.
- Spoken threats and harassment in video messages that bypass text filters entirely.
FAQs
Video audio transcription, answered
The transcript runs through the same four-layer pipeline Lasso uses for text, which automates around 99.9% of moderation decisions. ML classification and custom rules handle clear cases, the AI Moderator resolves context-dependent speech like idioms and regional expressions, and anything genuinely uncertain reaches a human reviewer with the segment, transcript, and timestamp in one view.
Audio from live streams is transcribed segment by segment as the broadcast runs, so violations are detected and queued in real time rather than surfacing in a post-broadcast report. Visual and audio moderation run in parallel for live video.
Every transcript violation is linked to its exact position in the video. A moderator opens the flag and jumps straight to that segment instead of watching the full clip, which keeps review fast even on long recordings and live sessions.
Speech-to-text runs per segment and converts spoken content to timestamped text across 200+ languages, with automatic language detection routing each video to the right model. Transcription quality depends on audio clarity, so very noisy or overlapping audio can affect what the transcript captures.
Video audio transcription pulls the audio track from a video file or live stream and converts spoken content to text. The transcript is run through content moderation models to detect harmful speech. It catches what image and video frame analysis cannot: what users say, not just what they show.
Hate speech, threats, profanity, PII (verbal phone numbers, addresses, emails), spam, and any violation in your custom word lists. The transcript is treated as text content and run through the full moderation pipeline.
Yes. Audio from live streams is transcribed segment by segment in real time. Violations are detected and queued as the stream continues. Lasso's visual and audio moderation run in parallel for live video.
200+ languages for transcription and moderation. Automatic language detection identifies what is spoken. Platform rules, word lists, and thresholds configured per language apply to the transcript.
Video audio transcription handles the audio track in video files and live streams. Voice moderation handles real-time voice chat sessions. Both use speech-to-text and apply the same moderation pipeline; they differ in source: video content vs. live voice communications.
Hear what your visual filters miss
Lasso transcribes every audio track in your video content and runs the transcript through the full moderation pipeline, catching the violations users speak but never show. One pipeline, one API.
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