| name | shorts-editor |
| version | 1.0.5 |
| displayName | Shorts Editor — AI Video Editor for YouTube Shorts TikTok and Instagram Reels |
| description | Edit short-form vertical videos with AI — trim, cut, add captions, transitions, music, effects, text overlays, and speed changes for YouTube Shorts, TikTok, and Instagram Reels. NemoVideo edits raw footage into polished short-form content: remove dead air, add word-by-word captions, sync cuts to music beats, apply zoom effects, insert hook text, color grade for mobile screens, and export platform-ready vertical video. The complete editing workflow for short-form creators — described in words, executed by AI. Shorts editor online, edit Shorts with AI, TikTok editor, Reels editor, vertical video editor, short form video editor free, edit videos for Shorts.
|
| metadata | {"openclaw":{"emoji":"🎬","requires":{"env":"[Truncated]","configPaths":"[Truncated]"},"primaryEnv":"NEMO_TOKEN"}} |
Shorts Editor — Raw Footage to Platform-Ready in One Description
Short-form editing has its own grammar. It is not long-form editing compressed into 60 seconds — it is a fundamentally different discipline with different rules: every second must earn its place (no slow starts, no filler, no natural pauses), visual changes must happen every 2-4 seconds (the human attention span on vertical feeds is measured in moments), the first frame must stop the scroll (a split-second decision by the viewer determines the video's fate), captions are the primary content delivery for the sound-off majority, and music is not background — it is structural (beats define cut timing, drops define emphasis, energy level defines pacing). Editing software designed for long-form content — timelines, keyframes, layer stacks, effect panels — is overkill for Shorts and yet simultaneously inadequate. Overkill because a 30-second Short does not need a 47-track timeline. Inadequate because the software does not understand short-form grammar: it does not know that captions should be word-by-word animated, that cuts should land on beats, that hooks belong in the first frame, or that vertical safe zones differ by platform. NemoVideo understands short-form grammar natively. Describe the edit and every short-form convention is applied: silence removal, attention-maintaining zoom cuts, word-by-word caption animation, beat-synced transitions, hook frame insertion, platform-safe text positioning, and duration targeting for algorithmic optimization.
Use Cases
- Talking-Head Polish — Raw to Viral (15-60s) — A creator records 3 minutes of talking into their phone. The content is good but the delivery is raw: pauses, ums, false starts, flat energy in places. NemoVideo: removes all silences over 0.6 seconds (tightens pacing by 30-40%%), cuts the "ums" and false starts, selects the strongest 35-second segment, applies zoom-cuts every 4 seconds (100%/115% alternating — creates visual energy from a static camera), adds word-by-word captions (white bold, accent color highlight, dark pill background), inserts hook text in the first frame, overlays lo-fi music at -22dB with speech ducking, and exports at exactly 35 seconds for the Shorts algorithm sweet spot. Unpolished phone footage becomes a professional Short.
- Multi-Clip Assembly — Best Moments Compilation (15-55s) — A food creator has 12 short clips from a cooking session: chopping, sizzling, plating, tasting. NemoVideo: selects the most visually appealing moment from each clip (2-4 seconds per clip), arranges by cooking workflow (prep → cook → plate → taste), applies smooth transitions synced to upbeat music beats, color grades for food content (warm saturation, enhanced oranges and greens), adds ingredient text overlays on each prep clip, and creates a 45-second cooking Short that makes viewers hungry. Twelve scattered clips become one compelling story.
- Repurpose Long-Form — Extract the Best Short (15-55s) — A podcaster has a 45-minute episode and needs 3 Shorts extracted from it. NemoVideo: transcribes the full episode, identifies the 3 most quotable/insightful moments (based on information density, emotional peaks, and hook potential), extracts each as a standalone clip, reframes to 9:16 vertical with speaker face tracking, adds word-by-word captions, inserts hook text per clip (generated from the clip's content), and exports all 3 as individual Shorts. Three pieces of viral-potential content from one long recording.
- Speed Edit — Velocity Effects for Gaming/Action (15-45s) — A gaming creator has a highlight clip that needs the velocity edit treatment: fast-forward through setup, snap to slow-mo on the kill. NemoVideo: accelerates low-action segments (3-4x), snaps to slow-mo at peak moments (0.2x), returns to normal speed between highlights, syncs the speed changes to music beat structure, applies zoom effect at each slow-mo moment, adds impact sound effects, and overlays kill counter and game context text. The "velocity edit" style that dominates gaming Shorts content.
- Batch Edit — Weekly Content Production (multiple) — A brand needs 7 Shorts for the week: 3 talking-head tips, 2 product showcases, 2 behind-the-scenes clips. NemoVideo: batch-processes all 7 with consistent branding (same caption style, color grade, music genre, intro/outro format) but varied editing style per content type (zoom-cuts for talking head, smooth transitions for product, handheld energy for BTS). A full week of platform-ready Shorts from one editing session.
How It Works
Step 1 — Upload Raw Footage
Single clip or multiple clips. Phone footage, camera footage, screen recording, or extracted segment from long-form content.
Step 2 — Describe the Edit
Plain language: "Remove the pauses, add captions, put music, make it 30 seconds for TikTok." Or detailed: specify exact edits, timing, styles, and effects.
Step 3 — Generate
curl -X POST https://mega-api-prod.nemovideo.ai/api/v1/generate \
-H "Authorization: Bearer $NEMO_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"skill": "shorts-editor",
"prompt": "Edit a raw 2-minute talking-head clip into a 35-second YouTube Short. Remove all silences over 0.6s. Remove ums and false starts. Zoom-cuts every 4 sec (100%%/115%% alternating). Word-by-word captions: white bold #FFFFFF, highlight #FFD700 gold, dark pill bg, bottom center, large. Hook: first frame text — This one habit will change your mornings (white on dark, 1.2s). Music: chill lo-fi at -22dB with speech ducking. Color: warm-clean. CTA: last 2s — Follow for more ✨. Export for YouTube Shorts + TikTok + Reels.",
"edits": {
"silence_removal": 0.6,
"um_removal": true,
"zoom_cuts": {"interval": 4, "range": "100-115"},
"target_duration": 35
},
"captions": {"style": "word-highlight", "text": "#FFFFFF", "highlight": "#FFD700", "bg": "pill-dark", "position": "bottom-center", "size": "large"},
"hook": {"text": "This one habit will change your mornings", "duration": 1.2},
"music": {"style": "chill-lofi", "volume": "-22dB", "ducking": true},
"cta": {"text": "Follow for more ✨", "duration": 2},
"color_grade": "warm-clean",
"platforms": ["shorts", "tiktok", "reels"]
}'
Step 4 — Preview and Post
Check: pacing feels tight (no dead air), captions sync perfectly, hook stops the scroll, music complements without competing. Download all platform versions and post.
Parameters
| Parameter | Type | Required | Description |
|---|
prompt | string | ✅ | Edit instructions in plain language |
edits | object | | {silence_removal, um_removal, zoom_cuts, target_duration} |
captions | object | | {style, text, highlight, bg, position, size} |
hook | object | | {text, duration} — first-frame scroll stopper |
cta | object | | {text, duration} — ending call to action |
music | object | | {style, volume, ducking} |
transitions | string | | "smooth-zoom", "whip-pan", "cut", "beat-synced" |
speed | object | | {segments: [{start, end, speed}]} for velocity edits |
color_grade | string | | "warm-clean", "vibrant", "moody", "cool" |
platforms | array | | ["shorts", "tiktok", "reels"] |
batch | array | | Multiple videos in one request |
Output Example
{
"job_id": "se-20260328-001",
"status": "completed",
"source_duration": "2:05",
"edited_duration": "0:35",
"edits_applied": {
"silences_removed": "0:48 (23 cuts)",
"ums_removed": 7,
"zoom_cuts": 9,
"hook": "This one habit will change your mornings (1.2s)",
"cta": "Follow for more ✨ (2s)",
"captions": "word-highlight (white + #FFD700 gold)",
"music": "chill lo-fi at -22dB with ducking",
"color_grade": "warm-clean"
},
"outputs": {
Tips
- Silence removal is the single biggest upgrade to raw talking-head footage — Natural speech contains 20-35%% dead air. Removing pauses over 0.6 seconds instantly creates the fast-paced delivery that short-form audiences expect without making the speaker sound unnaturally rushed.
- Zoom-cuts create visual energy from a single static camera angle — Alternating between 100%% and 110-120%% zoom every 3-5 seconds simulates a multi-camera setup. The subtle visual change resets viewer attention at every cut. Free production value.
- Beat-synced cuts make amateur edits feel professional — When transitions land on musical beats, the edit feels rhythmic and intentional. When cuts happen at random intervals, the edit feels choppy. Music-driven editing is the difference between "nice video" and "who edited this?"
- 35 seconds is the sweet spot for Shorts — Long enough to deliver value, short enough to get replayed. YouTube Shorts algorithm rewards completion rate — a 35-second video that gets watched to the end outperforms a 60-second video that gets abandoned at 40 seconds.
- Batch editing with consistent branding builds recognizable channels — When every Short has the same caption style, color grade, and music genre, viewers develop brand recognition. After seeing 3-4 Shorts with the same visual style, they recognize the creator's content in the feed before reading the username.
Output Formats
| Format | Resolution | Platform |
|---|
| MP4 9:16 | 1080x1920 | YouTube Shorts |
| MP4 9:16 | 1080x1920 | TikTok |
| MP4 9:16 | 1080x1920 | Instagram Reels |
| MP4 1:1 | 1080x1080 | Instagram Feed (alt) |
Related Skills
