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> Use this file to discover available pages before exploring further.
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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](https://storage.crisp.chat/users/helpdesk/website/-/2/5/6/4/2564845da4818600/transcript_1m3jcmh.png =826xauto)

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