OpenClaw AI Video Editor

Agentic AI video editor — autonomous agent that plans and executes natural-language video edits end-to-end: viral clips, auto captions, vertical 9:16 reframe, chroma key, silence removal, motion tracking, B-roll, voiceover, music generation, and MP4 / multi-platform export through a single agentic tool.

Audits

Pass

ClawScanPass

Agentic behavior and permission review.

Static analysisReview

Pattern checks against bundled files.

VirusTotalPass

Multi-engine malware detections and file reputation.

Install

openclaw plugins install clawhub:openclaw-ai-video-editor

OpenClaw AI Video Editor

An autonomous agentic video editor. Send a sentence. Get a finished video. No timelines, no keyframes, no plugin chains.

Beta. The agent can make mistakes. Preview every output before publishing or sharing. For high-stakes or irreversible edits, pass requirePlanApproval: true so the agent stops after planning and waits for your approval before anything runs.

Beyond one-liners: goals and briefs

autonomous_edit accepts anything from a five-word command to a five-hundred-word creative brief. Three flavors:

1. Direct commands

Single edit, single result:

"Generate captions and remove silences"
"Reframe to 9:16 for TikTok"
"Color grade like a Netflix doc"

2. Open-ended goals (watch and propose)

Hand the agent a goal instead of a command and it inspects the asset, then proposes a plan:

"Watch this and tell me how to make it more engaging for TikTok"
"Look at the first 30 seconds and suggest 3 ways to hook the viewer"
"Review this footage and propose edits to tighten the pacing"

Pair these with requirePlanApproval: true to keep the agent in propose-only mode — it stops after planning, returns the full plan, and waits for your approval before executing anything.

3. Full creative briefs

Multi-step orchestrations executed end-to-end. The agent decomposes the brief into a DAG of canonical actions, plans the order, executes through safety gates, verifies each step, and exports every requested format. Use SSE to watch each step land in real time.

Transform this video into a viral social media documentary. Start by
trimming the first 3 seconds and last 5 seconds to remove dead air.
Apply a cinematic color grade with warm tones and high contrast.
Generate auto-captions with bold yellow text and black outline,
positioned at the bottom center. Add a dynamic zoom-in effect on the
main subject during the first 10 seconds. Insert 3 contextual b-roll
clips at moments where the speaker mentions visual concepts. Apply
face tracking to keep the subject centered when converting to vertical
9:16 format for TikTok and Instagram Reels. Add an upbeat background
music track that matches the energy, with auto-ducking when the
speaker talks. Remove all silence gaps longer than 0.5 seconds to
tighten pacing. Apply a subtle vignette effect around the edges. Add
my logo watermark in the top right corner with 80% opacity. Generate
a custom thumbnail with the most expressive frame and bold text
overlay saying MUST WATCH. Create an animated subscribe button that
appears at 5 seconds and pulses. Add sound effects for emphasis at
key moments — use whoosh sounds for transitions. Apply noise reduction
to clean up the audio. Split the video at 30 seconds to insert a
2-second transition effect. Add text overlays for key statistics
mentioned in the video with animated counter effects. Apply motion
tracking to blur any faces in the background for privacy. Export the
final video in 1080p for YouTube and also create optimized versions
for TikTok, Instagram Reels, and YouTube Shorts with platform-specific
aspect ratios and durations.

That single call composes ~20 canonical actions in one planned run. No timeline UI, no per-step API calls, no glue code on your side.

What you can do with it

You ask	It does
"Turn this into 5 viral clips with captions and vertical reframe"	Picks the best moments, cuts, captions, reframes, and exports
"Cut a 60-second highlight from this 2-hour podcast"	Identifies narrative peaks, trims, packages with captions
"Make this TikTok-ready"	Vertical 9:16 reframe + captions + silence removal + emphasis kit
"Export for TikTok, Reels, Shorts, YouTube, and Instagram"	One pass, all aspect ratios in one bundle
"Replace the green screen with a beach, keep the speaker centered"	Chroma key + background composite + motion tracking in one call
"Remove the background from this video — no green screen"	AI background removal via alpha matte (works on any footage)
"Blur the background, keep me in focus"	AI background blur (subject-aware)
"Remove the logo from this frame"	Object removal (segmentation + inpainting)
"Remove all silences and filler words, add background music"	Cleans the audio track, adds ducked music under speech
"Auto-zoom on whoever's talking"	Active-speaker detection + dynamic zoom-follow framing
"Generate captions and highlight every time they say 'launch'"	Auto-captions + keyword emphasis with scaling / glow / pulse
"Find every clip where Alex appears"	Cross-asset face identity search
"Dub this video in Spanish"	AI dubbing — translate transcript + synthesize voiceover in target language
"Translate the captions to French"	Caption translation (30+ Latin-script languages, timing preserved)
"Stabilize this shaky handheld footage"	Video stabilization
"Reverse this clip"	Playback reversal
"Add a title card before the intro"	Auto-generated title slate
"Bleep out the swearing"	Profanity detection + auto-mute
"Crossfade between these two clips"	Native transitions (fade, slide, wipe, iris, zoom, whip pan, cross dissolve)
"Build a slideshow from these photos with music"	AI slideshow generation
"Replace the background with a beach — no green screen"	Semantic background replacement
"Generate a thumbnail for this video"	AI thumbnail extraction at the best frame
"Add narration in a cloned voice over the intro"	Voice cloning + TTS overlay + auto-ducking
"Cut to the beat of this track"	Provide BPM or beat times — cuts align automatically
"Generate B-roll over the product mention"	AI B-roll generation + placement at the right timestamp
"Blur all faces except the speaker"	Face detection + selective blur
"Add my logo as a watermark in the corner"	Branding overlay from gallery or AI-generated
"Color grade this like a Netflix doc"	Color grading with cinematic preset
"Slow-mo the climax, freeze on the reveal"	Retime with ramp curves + freeze-frame
"Generate chapter titles from the on-screen text"	OCR-driven chapter generation
"Reframe to vertical but don't crop off the lower-third captions"	Caption-safe 9:16 reframe (preserves on-screen text)
"What text is on screen at 0:42?"	On-screen text extraction (OCR)
"Sync my voiceover to the video and duck the music"	Audio sync + auto-ducking

That's the headline. Below is the full surface.

Beta caveat: outputs sometimes need a second pass. Preview before publishing; for anything you can't undo, approve the plan first using the plan approval flow.

Made for

Creators & influencers — turn long videos into TikToks, Reels, Shorts; auto-captions; viral-clip generation; AI thumbnails
Podcasters — video-podcast highlights, audiograms, multi-cam podcast editing, silence and filler-word removal
Marketers & agencies — ad creation at scale, social-first repurposing, brand-overlay automation, multi-platform exports
Educators & course creators — tutorial editing, auto-chapters, OCR'd slide titles, auto-captions, word-level emphasis
YouTubers — long-form → Shorts pipeline, thumbnail generation, intro / outro automation, chapter markers
Sales & SaaS — product demos, walkthrough highlights, voiceover narration with cloned voices
Event teams — webinar / conference highlights, multi-cam stitching, speaker spotlight reels
Faith & community — sermon clips for social, message highlights, multi-platform packaging

Capability surface

Read & inspect

Inspect the timeline structure, layer properties, and scene state
Search the asset gallery by type, duration, name
Run computer-vision analysis on frames (object, face, scene)
Extract on-screen text — OCR of chyrons, lower-thirds, slide titles, captions burned into source
Search the transcript by keyword, semantic meaning, or timestamp window
Pull video intelligence — narrative peaks, speaker diarization, sentiment, pacing
Cross-asset face identity search — find every clip a specific person appears in
Poll async job status, introspect tool / schema metadata

Structural editing

Insert / update / replace / delete layers — video, audio, text, image, shape, group, adjustment, transition, lottie, waveform
Trim, split, retime — slow-motion (0.5×), fast-forward (2×), freeze-frame, ramp curves, reverse playback
Video stabilization — shake removal for handheld footage
Title cards — auto-generated title slates from the brief or transcript
Transitions — fade, slide, wipe, iris, zoom, blur fade, whip pan, zoom blur, cross dissolve
Markers — chapters, ad slots, censorship cues, highlight points
Reposition, sequence, snap to transcript word boundaries
Heal timeline gaps, normalize audio, reconcile durations (pre-export safety pass)
Multi-step undo / redo

Visual editing

Color grading — brightness, contrast, saturation, hue, lift / gamma / gain, RGB curves
Color preset library — cinematic, vintage, monochrome, teal / orange, sunset, moonlight, warm, cool, desaturated, high-contrast
Blend modes — 17 standard (multiply, screen, overlay, soft / hard light, color dodge / burn, difference, hue, saturation, luminosity, etc.)
Procedural VFX shaders — smoke, dust, steam, mist, fog, fire, explosion, lightning, lava, snow, shimmer, glitch, scanlines, CRT, VHS, grain, glassmorphism, bokeh, telomere / corrosion, portal
Video noise reduction — separate from audio denoise
Chroma key — green / blue screen with similarity, smoothness, spill suppression
AI background removal — alpha matte (works on any video, no green screen required)
Background replacement — swap with any image / video, no green screen required
AI background blur — subject-aware depth blur
Object removal — AI segmentation + temporally consistent video inpainting
Masking — luma, alpha, depth, chroma (with inverted variants)
Geometric clip shapes — rectangle, circle, ellipse, semi-circle / dome, triangle, pentagon, hexagon, octagon, star, line, polygon, custom path
Crop — absolute or edge-based; 3D rotation + perspective
Glow, shadow, inner shadow, gradient fills, text gradients
Vertical reframe (9:16) and vertical-reframe montage — caption-safe (avoids cropping through on-screen text and chyrons)
Split screen — top/bottom, left/right, picture-in-picture, grid
Branding overlays — logo / watermark from gallery or AI-generated
Motion / face tracking with dynamic zoom-follow framing

Captions & text

Auto-generate captions from the transcript
Translate captions to 30+ Latin-script languages (Spanish, French, German, Portuguese, Italian, Dutch, Polish, Turkish, etc.) — timing and word boundaries preserved; non-Latin scripts (CJK, Arabic, Devanagari) coming soon
Style captions with built-in templates or an AI director that picks / generates a custom template at runtime
Curved text paths — circle, wave, custom SVG
Per-word animations — typewriter, slide (up / down / left / right), fade, dissolve, scale, zoom, rotate, bounce, flip, swing, elastic, blur, glitch, wave, crumble, implode, scatter, pixelate (each with matching exit)
Lottie animation playback control

Audio

Clean audio — remove silences, breaths, filler words; word-level mute / cut
Profanity cleanup — auto-detect and mute / bleep flagged words
Auto-ducking on speech detection (sidechain music vs voice)
Mix / normalize / denoise / EQ (bass-boost, vocal-clarity, warm, bright presets)
Audio crossfade between clips
Sync external master audio to video (offset, mute camera audio)
Beat-synced cuts — provide beat_times or bpm, the editor aligns cuts
Add SFX
Generate music (mood / genre / BPM)
Generate voiceover (TTS or cloned voice)
AI dubbing — auto-read transcript, translate to 30+ Latin-script languages, synthesize voiceover; speaking rate auto-calibrated to match original video duration
Render waveform visualizers (bars, wave, circular)

Async generation

AI video / B-roll — duration + aspect ratio
AI images — single or batch at timestamps
AI music — prompt + duration + mood + genre + BPM
AI voiceover — TTS or cloned voice library
AI slideshow — image set + audio → animated slideshow
Auto-thumbnail extraction
Face blur — all faces or background-only
Image edit — generative instruction-based

High-level presets

Each preset bundles many underlying edits into a single call:

Preset	What it does
Viral preset	Vertical reframe + captions + silence removal + motion tracking + word emphasis
Cinematic director	Dynamic zooms + cinematic color grade + mood-based camera moves
Emphasis system	Keyword detection + coordinated scaling / glow / pulse with captions
Pacing optimizer	Filler-word + silence + low-energy segment removal for retention

Export

Capability	Output
MP4 export	Single MP4 (resolution / codec / quality tier)
Viral clip batch	Auto-segmented short-form clips packaged as ZIP
Multi-platform pack	TikTok + Reels + Shorts + YouTube + Instagram aspect ratios in one pass

How you use it

Every edit goes through one tool: autonomous_edit. Pass a natural-language description of what you want and the agent plans, executes, verifies, and exports — no tool list to memorize, no structured params to learn.

curl -sS -X POST "$ADSCENE_API_URL/api/v1/misc/openclaw/v1/execute" \
  -H "Authorization: Bearer $ADSCENE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "autonomous_edit",
    "params": {
      "prompt": "Make this a TikTok-ready viral clip: vertical reframe, add bold captions, remove silences, motion-track the speaker, and export."
    },
    "project_id": "my-project"
  }'

Anything in the capability surface above is reachable from a prompt. Mix and match: chroma key + background replace + caption + emphasis in a single sentence works.

Quick start

1. Get an API key

2. Install the plugin

openclaw plugins install clawhub:openclaw-ai-video-editor

Or via npm:

npm install openclaw-ai-video-editor

3. Configure

export ADSCENE_API_URL="https://api.livecore.ai"
export ADSCENE_API_KEY="your-openclaw-api-key"

Or in OpenClaw skill config:

{
  "skills": {
    "entries": {
      "openclaw_ai_video_editor": {
        "enabled": true,
        "env": {
          "ADSCENE_API_URL": "https://api.livecore.ai",
          "ADSCENE_API_KEY": "your-openclaw-api-key"
        }
      }
    }
  }
}

4. Run an autonomous edit

curl -sS -X POST "$ADSCENE_API_URL/api/v1/misc/openclaw/v1/execute" \
  -H "Authorization: Bearer $ADSCENE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "autonomous_edit",
    "params": {
      "prompt": "Generate 5 viral clips, 15-30 seconds each, focused on the most engaging moments. Add bold captions, vertical reframe, remove silences."
    },
    "project_id": "my-project"
  }'

API surface

Base URL: {ADSCENE_API_URL} (production: https://api.livecore.ai)

Endpoint	Purpose
`POST /api/v1/misc/openclaw/v1/execute`	Run `autonomous_edit` or a deterministic tool
`GET /api/v1/misc/openclaw/v1/jobs/{jobId}`	Poll async render or generation jobs
`GET /api/v1/misc/openclaw/v1/tools`	List available tool names
`GET /api/v1/misc/openclaw/v1/health`	Health check

Auth header:

Authorization: Bearer {ADSCENE_API_KEY}

Do not set ADSCENE_API_URL to https://studio.livecor.ai or the in-product editor route /api/v1/misc/editor/. Studio is the user-facing app; OpenClaw requests go to the API-key route on https://api.livecore.ai.

Request body

{
  "tool": "autonomous_edit",
  "params": { "prompt": "<natural-language edit>" },
  "project_id": "optional",
  "scene": { }
}

JSON response

{
  "type": "success" | "partial_success",
  "tool": "<tool-name>",
  "success": true,
  "status": "completed" | "failed" | "awaiting_approval",
  "scene": { },
  "reply": "Human-readable summary of what changed",
  "videoUrl": "https://.../output.mp4",
  "jobId": "task_...",
  "viral_clips": [ ],
  "zip_url": "https://.../clips.zip",
  "activeTasks": [ ],
  "pendingAsyncJobs": [ ],
  "verificationPassed": true,
  "verificationIssues": [],
  "processingTime": 12.3,
  "workingMemory": { }
}

SSE streaming

Set Accept: text/event-stream or ?stream=true. Notable event types:

Event	Meaning
`heartbeat`	15s keepalive
`status`	Phase transitions
`thinking`, `tool_call`, `tool_result`	Per-step reasoning visibility
`background_job_completed`	Async job done
`success` / `partial_success`	Terminal payload
`error`	Terminal failure

Async job lifecycle

Generation actions return immediately with a jobId. Poll:

curl -sS "$ADSCENE_API_URL/api/v1/misc/openclaw/v1/jobs/$JOB_ID" \
  -H "Authorization: Bearer $ADSCENE_API_KEY"

Auto-export

After any mutating tool call, if the scene actually changed and an export isn't already queued, the route auto-fires one as a second run. Read-only and conversational autonomous_edit calls do not trigger auto-export.

Plan approval flow

Pass requirePlanApproval: true to make the agent stop after planning. It returns status: "awaiting_approval" + populated workingMemory. Resume by sending the same workingMemory with an approval prompt (yes, approve, go, do it, confirm).

How this differs from legacy editors

	Legacy editors (Premiere, DaVinci, CapCut, Descript)	OpenClaw AI Video Editor
Interface	Drag, drop, keyframe by hand	One sentence; the agent does the rest
Auto-analysis on upload	Manual scene detection, manual subtitles	Faces, speakers, shots, on-screen text, mattes all detected automatically
"Make this viral"	You build the workflow	Single preset — vertical + captions + silences + tracking, done
Cross-asset search	Filename search	"Find every clip where Alex appears" — works across the whole library
Background replace	Key out manually, find background, composite	One call
Beat-synced cuts	Mark beats by hand	Provide `beat_times` or `bpm`; cuts align automatically
Editorial reasoning	You decide what's the climax	Agent surfaces narrative peaks and reaction moments
Verification	You eyeball the result	Verifier runs after execution; auto-repairs on failure
Multi-platform export	One render per aspect ratio	TikTok + Reels + Shorts + YouTube + Instagram in one pass
Extensibility	Plugins call external binaries	Typed tools called by name

This isn't an editor with AI features bolted on. It's an autonomous agent that finishes the edit for you.

Safety & limits

Currently in beta — outputs can be wrong. Preview every result before sharing or publishing. For irreversible workflows, pass requirePlanApproval: true to inspect and approve the plan before any edit runs.
API-key authentication on every request
Destructive actions (mass deletes, clears) require explicit confirmation params
Output is verified after execution; auto-repairs on failure
Concurrent identical requests are deduplicated server-side
Rate-limited per API key. Read-only ~1–3s, structural edits ~3–10s, async generation 30s–5min per artifact, viral-clip / multi-platform exports several minutes

Supported media

	Formats
Video in	MP4, MOV, WebM (HTTP/HTTPS URLs, YouTube URLs, gallery IDs)
Image in	JPG, PNG, WebP
Audio in	MP3, WAV, M4A, AAC (or extracted from video)
Output	MP4 (export), ZIP (viral clips / multi-platform bundles)
Max video length	Up to 3 hours per asset (plan-dependent). Synchronous edits and async generation both supported.
Recommended resolution	1080p or 4K; canvas is configurable per project

End-to-end example: viral-clip generation

# 1) Kick off the viral-clip pipeline
curl -sS -X POST "$ADSCENE_API_URL/api/v1/misc/openclaw/v1/execute" \
  -H "Authorization: Bearer $ADSCENE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "autonomous_edit",
    "params": {
      "prompt": "Generate 5 viral clips, 15-30 seconds each, focused on the most engaging moments. Add bold captions, vertical reframe, remove silences."
    },
    "project_id": "my-project"
  }' | tee /tmp/result.json | jq -r '.jobId // .activeTasks[0].intent.job_id'

# 2) Poll job status until done
JOB_ID=$(jq -r '.jobId // .activeTasks[0].intent.job_id' /tmp/result.json)
while true; do
  STATUS=$(curl -sS "$ADSCENE_API_URL/api/v1/misc/openclaw/v1/jobs/$JOB_ID" \
    -H "Authorization: Bearer $ADSCENE_API_KEY" | jq -r '.status')
  echo "Status: $STATUS"
  [ "$STATUS" = "completed" ] || [ "$STATUS" = "failed" ] && break
  sleep 5
done

# 3) Fetch the final artifact URLs
curl -sS "$ADSCENE_API_URL/api/v1/misc/openclaw/v1/jobs/$JOB_ID" \
  -H "Authorization: Bearer $ADSCENE_API_KEY" | jq '.result'

Support

Setup help, integration questions, or issue reports — brajendrak00068@gmail.com

License

MIT

OpenClaw AI Video Editor

Audits

Install

OpenClaw AI Video Editor

Beyond one-liners: goals and briefs

1. Direct commands

2. Open-ended goals (watch and propose)

3. Full creative briefs

What you can do with it

Made for

Capability surface

Read & inspect

Structural editing

Visual editing

Captions & text

Audio

Async generation

High-level presets

Export

How you use it

Quick start

1. Get an API key

2. Install the plugin

3. Configure

4. Run an autonomous edit

API surface

Request body

JSON response

SSE streaming

Async job lifecycle

Auto-export

Plan approval flow

How this differs from legacy editors

Safety & limits

Supported media

End-to-end example: viral-clip generation

Links

Support

License