AI That Actually Understands Gaming
Stop manually scrubbing 6-hour VODs looking for your 1v4 clutch. ReelifyAI's gaming AI auto-detects clutches, aces, pentakills, squad wipes, and hype moments—even if you don't remember when they happened.
🎮 How It Works: Upload your VOD → AI scans for clutch situations, multikills, emotion spikes, and audio cues → Exports clips ranked by virality → You post the best ones.
Gaming AI Detection Features
What the AI actually looks for in your gameplay
Clutch Detection
Detects: 1v2, 1v3, 1v4, 1v5 situations
How: Analyzes killfeed patterns + team status
Works for: Valorant, CS2, R6 Siege, any tactical shooter
Multikill Detection
Detects: Aces (5K), pentakills, squad wipes, triple/quad kills
How: Tracks kill timestamps within 10-second windows
Works for: Valorant, League, Apex, Fortnite, Warzone
Emotion Analysis
Detects: Hype screams, rage moments, laugh reactions
How: Voice tone analysis (pitch, volume, cadence)
Why: Emotion = engagement (viewers love reactions)
Audio Cue Recognition
Detects: Victory music, announcer calls, killstreak sounds
How: Audio fingerprinting for game-specific sounds
Works for: League (pentakill announcer), Valorant (ace sound), Fortnite
(Victory Royale)
Comeback Detection
Detects: Reverse sweeps, overtime wins, last-second victories
How: Tracks score progression (down 0-2 → win 3-2)
Works for: Any competitive game with score tracking
Context Preservation
Smart clipping: Includes 3-5 seconds BEFORE the play
Why: Viewers need setup context (tension builds engagement)
Result: Clips feel like mini-stories, not just isolated kills
Supported Games & Detection Types
🎯 Tactical Shooters
Valorant
- Aces (5K in round)
- Clutches (1vX situations)
- Ace audio cue detection
- Spike plant/defuse tension
CS2
- 1vX clutches
- Eco round wins
- Ninja defuses
- Multi-frag highlights
Rainbow Six Siege
- Clutch rounds
- Wallbang kills
- Defuser plays
- Team wipes
👑 Battle Royales
Warzone
- Squad wipes (3-4 kills)
- Victory Royales
- Sniper headshots
- Gulag wins
Fortnite
- Victory Royale detection
- Build fight wins
- Multi-eliminations
- No-scope snipes
Apex Legends
- Squad wipes
- Ranked clutches
- 20-kill badges
- Champion screens
⚔️ MOBAs & Other
League of Legends
- Pentakills (announcer)
- Quadra kills
- Baron steals
- Game-winning teamfights
Rocket League
- Ceiling shots
- Flip resets
- Demo plays
- Overtime goals
Any Game
- Emotion-based detection
- Voice spike analysis
- Chat reactions
- Victory screen detection
Don't see your game?
Generic detection (emotion analysis + audio spikes) works for ANY game. We add game-specific
features based on user requests.
How Gaming AI Actually Works
The technical breakdown (simplified)
1. Multi-Modal Analysis
AI analyzes three layers simultaneously:
- Visual: Killfeed, scoreboard, player count, health bars
- Audio: Game sounds, voice tone, music cues, announcer calls
- Temporal: Kill timing patterns, round progressions, emotional arcs
2. Pattern Recognition
Trained on 50,000+ hours of gameplay across 30+ games. Learned patterns:
- What clutch situations look like (UI indicators, player positioning)
- How multikills appear in killfeeds (rapid succession)
- What "hype" sounds like (pitch spikes, volume increases)
- When victories happen (music cues, UI changes)
3. Virality Scoring
Each detected moment gets a virality score (0-100) based on:
- Difficulty: 1v5 clutch = higher score than 1v2
- Emotion: Screaming reaction = +30 points
- Rarity: Pentakill = rarer than double kill
- Context: Overtime win > regular round win
Clips ranked 90+ = viral potential. Post those first.
4. Smart Export
AI doesn't just find moments—it packages them correctly:
- Timing: Includes 3-5 sec before (setup) + 2 sec after (reaction)
- Framing: Crops to 9:16 (keeps killfeed + player cam visible)
- Captions: Auto-generates based on play type ("INSANE 1v4 CLUTCH")
- Duration: Optimizes for platform (30-60 sec for TikTok/Shorts)
Gaming AI vs Manual Clipping
Time saved per week: 5-8 hours (if you
stream 20+ hrs/week)
That's 260+ hours/year you can spend streaming instead of editing.
Gaming AI FAQ
Does the AI work if I don't have a webcam?
Yes! AI primarily uses audio (voice reactions, game sounds) and gameplay visuals (killfeed, scoreboard). Webcam helps (facial reactions boost virality scores), but it's not required.
What if I play a game you don't have specific support for?
Generic detection (emotion analysis, audio spikes, voice tone) works for ANY game. You'll still get clips of your hype moments—just without game-specific labels like "ace" or "clutch." Request your game and we'll add custom support.
Can I adjust the AI's sensitivity?
Yes. You can set minimum virality threshold (e.g., "only show clips scored 70+") and adjust detection types (disable emotion detection if you don't talk during gameplay).
How accurate is clutch detection?
~95% accuracy for games with clear UI indicators (Valorant, CS2, R6). Lower for games without visible team counts. AI learns from corrections—if you mark a false positive, it improves.
Does AI work for tournament/competitive footage?
Absolutely. Actually works BETTER because pro plays are more "textbook" (AI recognizes patterns easier). Great for coaches analyzing team performances.
Can I train the AI on my playstyle?
Not yet, but it's planned. Future update will let you mark your favorite clips → AI learns your preferences → prioritizes similar moments in future VODs.
Let AI Find Your Best Plays.
You Focus on Playing.
Try ReelifyAI free on your next 3 streams. Gaming AI auto-detects clutches, aces, and hype moments. No manual scrubbing required.