Audio Emotion API

The Audio Emotion Analysis API processes audio files or YouTube URLs to analyze emotions and transcripts. The API provides:

Speaker Diarization: Identifies and segments audio by speakers.

Audio Emotion Analysis: Detects one of 8 emotions per audio segment.

Text Emotion Analysis: Generates a transcript for each segment and detects one of 28 emotions from the text.

📄️Upload Audio

Analyze emotions and speech patterns from audio content.

API to get audios processed by user with pagination.

Retrieve Single Audio based on audio_id.

Reprocess an audio file based on audio id.

Deletes a specific audio file and all associated emotion analysis data from the system. This action is irreversible.

Get complete multimodal analytics for an audio file including:

Deletes a specific segment of an audio file based on the segment index. After deletion,

Update the transcript and timestamp data for specific segments within an audio file.

Update the names of detected speakers in an audio file. This is useful for labeling anonymized

Update the metadata of an audio file.

Download a detailed report of the emotional insights extracted from a specific audio file.

Merge multiple speakers into a single selected speaker on an audio document.

Delete one or more speakers from an audio file while ensuring at least one

Create a placeholder speaker on an audio file. The new speaker has zero

Replace Audio Transcript

Retrieve all details for a specific audio directly from the database.