AI Video Vision

AI Video Vision helps you analyze videos using AI to extract meaningful insights such as sentiment, mood, tone, emotional impact, and communication style.

Instead of manually interpreting videos, you can upload a video, provide a prompt, and let the AI generate a structured analysis.

What is AI Video Vision?

AI Video Vision is a tool that:

• Takes a video as input

• Uses a selected AI model

• Processes visuals, audio, dialogue, and context

• Generates a detailed vision analysis based on your prompt
  
  

It evaluates elements like:

• Sentiment (positive, negative, neutral, mixed)

• Mood (emotional atmosphere)

• Tone (communication style)

• Emotional triggers and audience impact

When should you use it?

AI Video Vision is useful when you want to:

• Analyze advertisements or marketing videos

• Understand audience emotional response

• Evaluate brand messaging and tone

• Study storytelling effectiveness

• Break down video content for insights

How it works

1. Drag a media node on canvas and upload a video on it

2. Drag "AI Video Vision" tool from "Advanced" category from sidebar on canvas.

3. Select the desired model

4. Enter a prompt

5. Generate analysis

6. Review structured output

The quality of output depends heavily on how clear and specific your prompt is.

Example Outputs

Here’s how AI Video Vision interprets different types of videos:

Sad Video

Output may include:

• Sentiment: Negative to Mixed

• Mood: Emotional, heavy, reflective

• Tone: Serious, empathetic

• Emotional triggers: Loss, empathy, nostalgia

Happy Video

Output may include:

• Sentiment: Positive

• Mood: Uplifting, joyful

• Tone: Friendly, energetic

• Emotional triggers: Happiness, excitement, connection

Funny Video

Output may include:

• Sentiment: Positive

• Mood: Playful, humorous

• Tone: Light-hearted, witty

• Emotional triggers: Humor, surprise, relatability

Inspirational Video

Output may include:

• Sentiment: Positive

• Mood: Motivational, hopeful

• Tone: Aspirational, sincere

• Emotional triggers: Achievement, resilience, ambition

Writing an Effective Prompt

Using a structured prompt significantly improves output quality.

Below is a sample prompt for reference—you can modify or experiment with it to achieve the results you’re looking for.

Prompt Used:

You are an expert in media psychology, advertising analysis, sentiment intelligence, emotional behavior, and brand communication.
 

Analyze the provided advertisement video in depth using multimodal signals including visuals, speech/dialogue, subtitles/text, music, sound design, pacing, facial expressions, body language, editing, and scene transitions.

Your goal is to evaluate the video's Sentiment, Mood, Tone, Emotional Effectiveness, and Brand Alignment with high accuracy. 

-----------------------------------

ANALYSIS RULES

----------------------------------- 

1. Use evidence from the video only. Do not assume facts not shown.

2. If signals are mixed or unclear, state uncertainty clearly.

3. Distinguish between:

- Sentiment = positive / negative / neutral / mixed emotional valence

- Mood = emotional atmosphere felt by viewers

- Tone = communication style or attitude of the brand/message

4. If the ad changes emotionally over time, capture those transitions.

5. Consider cultural sensitivity, symbolism, and audience context if visible.

6. If dialogue is absent, rely more heavily on visuals/audio cues.

7. If sarcasm, irony, humor, or contrast is present, mention it explicitly.

-----------------------------------

OUTPUT FORMAT

-----------------------------------

## 1. Overall Summary 

Provide:

- Brief description of what happens in the ad

- Core narrative/story arc

- Main message

- Intended target audience

- Likely campaign objective (awareness, purchase, trust, recall, affinity, social cause, etc.)

---

## 2. Sentiment Analysis

Determine the overall sentiment:

- Positive

- Negative

- Neutral

- Mixed

Provide:

- Overall Sentiment Score: (-1.0 to +1.0)

- Confidence Level: (1–10)

 Analyze sentiment progression by timeline:

- Beginning (0–25%)

- Early Middle (25–50%)

- Late Middle (50–75%)

- Ending (75–100%)

For each segment mention:

- Dominant sentiment

- Why it changes

- Which scenes/music/dialogue/visuals drive it

Mention if the ending leaves a stronger emotional impression than the opening.

---

## 3. Mood Analysis

 Describe the emotional atmosphere created by the ad.

Possible moods include:

uplifting, nostalgic, tense, humorous, luxurious, warm, playful, suspenseful, emotional, inspirational, comforting, energetic, dramatic, serious, hopeful

Provide:

- Primary Mood

- Secondary Mood(s)

- Mood Intensity Score: (1–10)

Explain how these elements shape mood:

- Music / sound design

- Lighting

- Color grading

- Camera style

- Editing pace

- Facial expressions

- Body language

- Environment / setting

Identify any mood shifts during the ad.

--- 

## 4. Tone Analysis

Define the communication tone of the ad.

Possible tones:

playful, premium, serious, emotional, authoritative, witty, bold, sincere, aspirational, sarcastic, urgent, calm, friendly

Provide: 

- Primary Tone

- Secondary Tone(s)

- Tone Consistency Score: (1–10)

Explain how tone is conveyed through: 

- Script/dialogue

- Voiceover delivery

- Word choice

- Visual storytelling

- Typography/on-screen text

- Brand personality cues

Mention whether tone remains consistent or changes.

---

## 5. Emotional Triggers & Persuasion Techniques

 Identify emotional triggers used: 

- Humor

- Fear

- Nostalgia

- Empathy

- Excitement

- Pride

- Curiosity

- Belonging

- Surprise

- Relief

- Desire

- Trust 

Explain persuasive techniques used:

- Storytelling

- Relatability

- Social proof

- Contrast

- Before/after framing

- Symbolism

- Problem-solution framing

- Scarcity / urgency

- Surprise reveal

- Identity signaling

Rate Emotional Impact Score: (1–10)

---

## 6. Audience Impact Prediction

Predict how the target audience is likely to feel:

During viewing:

- immediate reaction 

After viewing:

- lingering emotional response

Likely behavioral result:

- remember brand

- click/buy

- share

- trust more

- discuss

- ignore

State whether emotional response aligns with intended campaign objective.

---

## 7. Brand Alignment

Assess how well the sentiment, mood, and tone align with the brand identity.

Provide:

- Brand Alignment Score: (1–10)

Explain:

- Does it feel authentic?

- Does it match likely brand positioning?

- Any mismatch between message and execution?

- Any confusing emotional signals?

---

## 8. Key Moments Breakdown 

Identify 3 to 5 important moments.

For each moment provide:

1. Timestamp / approximate section

2. What happens

3. Emotional impact

4. Contribution to sentiment / mood / tone

5. Why memorable or weak 

--- 

## 9. Risks / Weaknesses

Identify any issues such as: 

- confusing message

- weak branding

- inconsistent tone

- emotional overload

- manipulative feel

- poor pacing

- generic storytelling

- cultural mismatch

- forgettable ending

---

## 10. Final Evaluation

Provide:

- Overall Effectiveness Score: (1–10)

- Emotional Effectiveness Score: (1–10)

- Brand Recall Potential: (1–10)

Final summary:

- What works best

- What works least

- Suggested improvements to strengthen sentiment, mood, or tone 

---

## 11. Structured JSON Summary

Return this JSON block after analysis:

 {

"overall_sentiment": "",

"sentiment_score": 0.0,

"primary_mood": "",

"secondary_moods": [],

"mood_intensity": 0,

"primary_tone": "",

"secondary_tones": [],

"tone_consistency": 0,

"emotional_impact": 0,

"brand_alignment": 0,

"overall_effectiveness": 0,

"audience_reaction": "",

"campaign_goal_likely": "",

"top_triggers": [],

"top_strengths": [],

"top_weaknesses": []

}

How to use this prompt

• Modify sections based on your needs

• Keep prompts clear and structured

• Focus on what you want to evaluate (e.g., sentiment only, or full breakdown)

Tips for Better Results

• Be specific in your prompt (e.g., “analyze emotional impact” vs “analyze video”)

• Choose the right model based on your use case

• If results feel generic, refine your prompt

Output Structure

Depending on your prompt, outputs may include:

• Overall summary

• Sentiment breakdown across timeline

• Mood and tone analysis

• Emotional triggers

• Audience impact prediction

• Brand alignment insights

• Key moments in the video

• Final evaluation with scores

Summary

AI Video Vision enables you to move beyond surface-level viewing and gain deep, structured insights into video content.

With the right prompt, it becomes a powerful tool for:

• Marketing analysis

• Content strategy

• Audience understanding

• Creative evaluation