Turn Long Valorant Sessions Into Clips Automatically
Local AI desktop app that reads the Valorant killfeed, spots aces and clutch rounds, and cuts them into ready-to-post 9:16 clips. Every agent, every map, every rank — same detector. No upload, no subscription, $49 once.
Valorant is a HUD-heavy game and that's an advantage — the killfeed at the top-right tells you everything about who killed whom, when, and with what. The Valorant mode uses that HUD as its primary signal, then layers audio and voice on top so ace rounds get the score they deserve.
1. Killfeed OCR (top-right region)
Every 2 seconds during processing, the top-right of the frame is cropped and passed through EasyOCR. Line density scales into a "kill burst" score — 3+ killfeed lines inside a rolling 15-second window is the signature of a multikill or ace round. The detector also biases toward the left side of each killfeed line, since Valorant puts the killer name on the left — so it's your kills that drive the score, not deaths.
2. Whisper callout detection
Ace and clutch rounds are the ones you or your team react to. OpenAI Whisper runs locally on your voice track and boosts moments where these words show up: ace, clutch, nice, insane, spike, defuse, let's go, gg, one tap, flick. That's on top of the killfeed signal.
3. Audio + motion tiebreakers
Two rounds with the same kill count don't always deserve the same edit priority — the one where you shouted "ONE TAP" wins. Audio energy and frame-to-frame motion score how intense each candidate window was and pick the top-N for export.
💡 What it doesn't do: the detector doesn't identify which agent you played, doesn't parse the round-win banner, and doesn't watch abilities. It reads the killfeed. In practice that catches every ace, every 4K and every clutch — because those all show up on the killfeed.
Every Valorant Format, One Detector
The killfeed layout is identical across every Valorant mode. The detector doesn't care which one you played — it just cuts the kills:
🏆
Ranked / Competitive
Full 13-round halves. Ace and clutch rounds get burst-extension so a slow-paced 1v3 comes out as a complete clip, not just the final kill.
⚡
Swiftplay / Spike Rush
Shorter formats, faster round cadence. Score thresholds auto-adapt so short-round clutches still pop out of quieter matches.
🎯
Deathmatch / Team DM
High kill density. Great stress-test for the killfeed OCR — dozens of your kills in one VOD cut into individual "one-tap" moments.
🎓
Premier
Same killfeed as ranked, tournament-format matches. Whole-round clips work well for post-match team review or highlight reels.
🔫
Unrated / Warm-up
Lower stakes but the same detector. Useful for testing the workflow on a low-pressure VOD before running it on your ranked grind.
🎬
Custom / Scrim VODs
Any Valorant recording with the standard HUD works. Riot's default overlay is the target — third-party overlays that don't cover the killfeed region are fine.
From a Full Ranked Grind to a Folder of Clips
A weekend of Valorant ranked easily produces 4–6 hours of footage. The Valorant mode compresses that into standalone vertical clips:
Long .mp4 VOD4 hours, 40+ GB
→
Killfeed OCR + voiceAce / clutch / one-tap scored
→
Top rounds pickedMulti-kills prioritised
→
Vertical 9:16 clips12–35s each, ready to post
Optional: enable Burn Overlays and each clip gets a comic-style POW / ACE / CLUTCH burst baked in at the actual kill moments.
Why Local Matters for Valorant
Ranked sessions get long fast
A single Valorant match can push 45 minutes. A 4-match session at 1440p60 is 30–40 GB of footage. Uploading that to a cloud clipper is a full evening on most home internet before analysis even starts. Local processing starts in seconds.
Vanguard doesn't play nicely with cloud tools
Some cloud clippers require a background helper app to grab the recording. Vanguard (Valorant's anti-cheat) is aggressive about kernel-level interference and background processes. A fully local, standalone tool that reads a finished recording after the fact avoids that entire class of issue.
No monthly quota on your own footage
One $49 payment. Process as many hours as you want. No per-clip credits, no monthly upload caps, no "premium tier for aces".
Quick Setup — From Install to First Ace Clip
Install Gaming Clipper AI. Windows 10/11, ~1.4 GB installer.
Record your Valorant session. Any recorder that outputs standard .mp4 / .mkv works — NVIDIA ShadowPlay, OBS, Medal, AMD ReLive, Xbox Game Bar.
Open the Highlights tab. Drag in the .mp4. Game: Valorant. Layout: Vertical Crop (9:16) for Shorts / TikTok / Reels, or Hybrid if you want a caption bar.
Optional: Burn Captions + Burn Overlays. Captions bake in Whisper subtitles (word-karaoke style). Overlays drop POW / ACE / ELIMINATED impact text at each kill.
Hit Start. Clips land in the output folder as ready-to-post .mp4 files.
💡 Missed an obvious clutch? Drop the sensitivity slider — the detector will pull in more borderline moments. Or on v1.1+, jump into the Clip Cutter tab, scrub the timeline to the exact round and capture start/end with one click.
Common Questions
Does it detect Valorant aces automatically?
Yes. Clusters of 4 or 5 kills within a single round score as multikills or aces and get prioritised in the output. The Whisper transcriber also boosts moments where "ace" or "clutch" gets called out on your voice track — those two signals combined catch essentially every real ace round.
What resolutions are supported?
Any resolution. The killfeed region is defined as a percentage of the frame (top-right 25% width, top 45% height), so 1080p, 1440p and 4K all work identically. Detection is actually slightly sharper at 1440p / 4K because OCR has more pixels to read.
Does it read agent names or track ability usage?
No — the detector reads the killfeed only. It doesn't know which agent you played and doesn't parse ability icons. In practice this doesn't matter: aces, multikills and clutches all show up on the killfeed, so the score reflects them regardless of agent.
Will it flag opponents' aces as mine?
The detector biases toward the left side of each killfeed line, since Valorant puts the killer name on the left. Opponent kills (right side / victim) don't drive the score. Aces played against you can still show up in the output, but as generic "big moment" clips rather than as your kills.
Does it work with the Riot spectator overlay or third-party HUDs?
The detector targets the standard Valorant killfeed in the top-right of the screen. Riot's default HUD is the calibrated target. Third-party overlays that don't cover the killfeed region are fine. Overlays that do cover it will reduce accuracy — turn them off during recording if you can.
What output format do the clips come out as?
1080×1920 vertical 9:16 MP4 (H.264 video, AAC audio). Two layout options: full vertical center-crop, or hybrid with gameplay on top and a caption bar below for burned-in subtitles. GPU-accelerated with NVIDIA NVENC, CPU fallback via libx264 automatically.
Can I clip a specific round by hand instead of running the AI?
Yes, on v1.1+. The Clip Cutter tab (shipping in the v1.1 update) lets you open any Valorant recording, scrub the timeline with a mouse-draggable slider, use play / pause / ±1s / ±5s controls, capture Start and End with one click, and export a frame-accurate trim. Useful when you want a specific clutch and don't want to run the full AI pass.
Will my Valorant footage be uploaded anywhere?
No. Everything runs locally on your PC. The .mp4 never leaves your machine. There is no cloud pipeline and no telemetry on the gameplay data.