Audio
Nima allows you to automatically detect harmful audio content using the AI detection providers you have configured.
Example payload
{
"priority": "high",
"channel": "automated detection",
"reason_for_request": "This audio contains bullying",
"note": "facilis occaecati eos",
"customerSpecific": {},
"content": {
"content_id": "saepe ut debitis",
"title": "firearm",
"body": "Pariatur illum modi sapiente sint et quae quo corporis. Odit minus quasi hic laboriosam minima et. Ex asperiores dicta.",
"url": "https://res.cloudinary.com/dkfnrxfqd/video/upload/v1737952621/flac3_m5fnhz.flac",
"language": "en",
"token": "",
"type": {
"id": "AUDIO"
},
"status": "published",
"customerSpecific": {
}
},
"reportee": {
"id": "t43YgUNcn_Fswra",
"name": "Ms. Edgar Satterfield",
"phoneNumber": "964-806-7414",
"emailAddress": "[email protected]",
"customerSpecific": {}
},
"location": {
"city": "Lake Kileyville",
"postalCode": "84",
"region": "Madisynstad",
"countryCode": "PT",
"ipAddress": "176.107.49.70",
"customerSpecific": {}
},
"label": [
"weapon"
]
}Request payload requirements
For audio moderation, ensure your request payload includes the following content-type specific requirements:
Attribute | Required | Description |
|---|---|---|
content.url | Yes | For audio content, the URL should point to the audio file. Currently supported audio formats: MP3, MP4, WAV, FLAC |
content.type.id | Yes | Must be set to "AUDIO" |
content.language | No | ISO language code in lowercase (en, fr) for improved accuracy |
For all other payload parameters, please refer to the Proactive DetectionProactive Detection documentation.
Configuring detection rules
To create a rule for automated audio detection, navigate to Configure > Trust & Safety > Rules and define the following conditions:
Required Conditions:
- Channel: Must be set to "Proactive Detection"
- Content Type: Must be set to "Audio"
Once these conditions are set, the list of available AI detection providers will be accessible via the Choose Provider button.

Audio-specific features
Audio visualization in moderation console
Once Nima receives a case containing audio content, it displays the content to moderators via the moderation console with an integrated audio player. The interface includes advanced features specifically designed for audio moderation:
- Waveform Visualization: Highlights on the audio waveform where harmful content has been detected by the AI detection provider
- Detected Vocabulary List: Lists detected harmful words or phrases along with their timestamps
- Timestamp Navigation: Allows moderators to jump straight to the sections that triggered detection
