AI-powered video editor that turns raw footage and a creative brief into a polished ad using an ensemble of AI agents (Google Gemini + FFmpeg)
A command-line AI video editor that turns raw footage and a creative brief into a polished ad. Point ave at a folder of clips, describe what you want, and an ensemble of AI agents handles the rest -- scene detection, shot selection, assembly, and quality review.
Built with Google Gemini for intelligence and FFmpeg for rendering.
Status: The CLI is the primary, supported interface. A web UI (AVE Studio) is included but is a work in progress -- see Web UI below.
Raw Footage + Creative Brief
|
[ Preprocess ] -- scene detection, transcription, shot indexing
|
[ Director ] -- AI agent picks shots, orders them, writes an EditPlan
|
[ Trim Refiner ] -- refines shot boundaries for tight cuts
|
[ Editor ] -- renders the EditPlan to video via FFmpeg
|
[ Reviewer ] -- scores the output (adherence, pacing, visual quality, watchability)
| if score < threshold, feeds back to Director and retries
v
Final Video + Review Scores
| Agent | Role | Powered By |
|---|---|---|
| Director | Searches the footage index, selects shots, and produces an EditPlan with trimming, ordering, and text overlays | Google Gemini via ADK |
| Trim Refiner | Adjusts start/end trim points for tighter cuts | Gemini |
| Editor | Renders the EditPlan to an MP4 using FFmpeg/MoviePy | FFmpeg |
| Reviewer | Watches the rendered video and scores it on 5 dimensions (0-1 scale) | Gemini |
Pipelines are defined as YAML manifests in pipelines/. Each step names an agent and optionally a gate or retry condition:
# pipelines/ugc-ad.yaml
steps:
- agent: director
- agent: trim_refiner
- agent: editor
- agent: reviewer
retry_if:
metric: overall
threshold: 0.65 # retry if overall score < 0.65
max_retries: 2 #
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