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How does AutoViral analyze your video?

AutoViral uses AI to analyze your content and automatically detect the most viral-ready segments in your video. It relies on two detection methods, which you can use separately or combine for more accurate results.

1. Transcription-based detection

Transcription-based detection analyzes the text generated from your audio. Once your video is transcribed, AutoViral studies the overall wording of your speech but also precisely:

Important or high-impact keywords
Sentence structure
Hooks, strong statements, or punchlines

Based on these elements, AutoViral calculates a virality score and identifies the moments that are most likely to perform well as short clips.

2. Emotion AI (audio-based analysis)

💡 It does not analyze the image or facial expressions. It only works from the audio track.

Emotion AI analyzes the emotional tone of your voice directly from the audio. It detects:

Variations in tone and voice intensity
Emotional peaks
Laughter, excitement, surprise, anger, tears, etc.

💡 You can choose to analyse both transcription and Emotion. This provides more accurate and refined results, especially for dynamic content like podcasts or long-form YouTube videos.

3. How does AutoViral work overall?

Here is the simplified workflow:

AutoViral analysis process

If you're unsure which method to choose, we recommend starting with both enabled for the most complete analysis.

Updated on: 25/02/2026

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