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📺 Watch the Vox AI Motion Graphics Generator in action →

🚨 The problem with making explainer videos today:

• ❌ Fragmented workflow — separate tools for scripting, image gen, animation, voice-over, music, and captions
• ❌ No narrative structure — raw text-to-video models don't understand story arcs, hooks, or pacing
• ❌ Inconsistent look — the collage aesthetic drifts from shot to shot
• ❌ Hours of manual editing — stitching, ducking music, and burning captions by hand

💡 The solution:

🎬 Screenwriter, Collage Artist, Animator, and Editor — all in one automated pipeline.

Type one topic. The agent writes the story beats, renders each beat as a torn-paper collage poster, animates it, adds a narrator voice-over, music, and burned-in captions — then stitches everything into a finished final.mp4. You stay in control with just two approval gates: the story beat map and the visual theme.

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🎨 Explore 50+ more open-source AI apps →

🎥 Demo

https://github.com/user-attachments/assets/3db826d1-3271-4e8a-b4d0-a843013e67c7

One topic in, a fully narrated & captioned Vox-style collage video out. (download the demo)

"Make me a 15-second Vox-style collage video on the history of coffee." → a styled final.mp4, fully narrated and captioned.

📽️ Generated Showcase Videos (Playable Demo Videos)

Below are end-to-end videos generated using the pipeline:

🎬 Generated Assets Summary:

• ☕ B-roll (History of Coffee):
  • 📹 Video: Play Video (out/demo/final.mp4) | 🖼️ Poster: out/demo/keyframes/kf_1a.jpg | 📹 Clip: out/demo/clips/clip_1a.mp4 | 🎙️ Voice: out/demo/audio/narr_1.mp3 | 🎵 BGM: out/demo/audio/bgm.mp3
• 🍾 C-roll (Cold Brew Product Anchor):
  • 📹 Video: Play Video (out/demo-croll/final.mp4) | 📸 Anchor Photo: out/demo-croll/anchor_photo.jpg | 🖼️ Poster: out/demo-croll/keyframes/kf_1.jpg | 📹 Clip: out/demo-croll/clips/clip_1.mp4 | 🎙️ Voice: out/demo-croll/audio/narr_1.mp3 | 🎵 BGM: out/demo-croll/audio/bgm.mp3

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📑 Table of Contents

• ✨ Key Features
• 🎨 The Look
• 🔄 How It Works
• 🧩 Models
• 🚀 Quick Start
• 🛠️ Project Structure
• 🔗 Related Projects

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✨ Key Features

• 3 Input Modalities (A-roll, B-roll, C-roll):
  • B-roll (Topic → Film) — a single one-line prompt produces a complete, captioned, narrated video
  • A-roll (Talking-Head Video → Collage) — segment a presenter video with ASR (openai-whisper) and re-style into paper-collage while keeping real face, gestures, and lip-sync
  • C-roll (Single Photo / Product → Anchored Collage) — cut out a selfie or product shot as a photographic sticker and build animated collage posters around it
• Authentic Vox collage aesthetic — torn paper, cutouts, tape, halftone dots, newspaper clippings, bold flat color, big headlines
• Story-first — picks a narrative arc (timeline, problem-agitate-solution, how-it-works…) and writes a hook-led beat map before generating anything
• Style bake-off — renders the same beat in 3–4 themes so you pick the look before committing
• Living-poster motion — animates each collage keyframe into dynamic motion with Google Veo 3.1
• Voice + music + captions — narration (TTS or voice cloning), background music ducked under the voice, and burned-in captions, all automated
• Two human gates, everything else automated — approve the beat map, pick the theme; the pipeline handles the rest
• Agent-native — a self-contained skill any coding agent (Claude Code, Codex, Antigravity, …) can read and run
• One API key + ffmpeg — no cluster of accounts to wire up

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🎨 The Look

The aesthetic is the modern editorial paper-collage popularized by Vox explainers and creators like Stav Zilber and rom1trs: hand-cut paper cutouts, torn edges, tape, halftone dots, newspaper clippings, bold flat colors per beat, and big cutout headlines — brought to life with dynamic motion, a narrator voice-over, music, and burned-in captions.

The collage look is born in the image step (each beat is a finished collage poster), and the motion is added after — so the DNA of the style is locked in before anything moves.

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🔄 How It Works

A single topic, video, or photo flows through the pipeline driven by beats.json under out/<project>/:

topic / video / photo
  │
  ├─ 1. Beat Map        Pick a narrative arc → write beats.json          ◀── GATE 1: approve the beat map
  ├─ 2. Style Bake-Off  Render the same beat in 3–4 themes               ◀── GATE 2: pick the look
  ├─ 3. Keyframes       One collage poster per beat (nano-banana-2 / flux-dev)
  ├─ 4. Motion          Animate each poster into a clip (veo3.1-image-to-video)
  ├─ 5. Voice & Music   Narration (minimax-speech-2.6) + BGM (suno-create-music)
  ├─ 6. Assemble        Stitch clips, duck music, burn captions (ffmpeg)
  └─ final.mp4

3 Modalities:

• B-roll (Topic → Film): Topic in → script → keyframe posters → Veo 3.1 motion → TTS narration + Suno music → final.mp4.
• A-roll (Talking-Head → Collage): Presenter video in → Whisper ASR beat segmentation → video-edit restyling → audio remuxing → final.mp4.
• C-roll (Photo / Product → Collage): Product photo in → photographic sticker cutout → anchored collage posters → Veo 3.1 motion → cloned voice → final.mp4.

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🧩 Models

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🚀 Quick Start

1. Install local dependencies

• ffmpeg + ffprobe (brew install ffmpeg on macOS / choco install ffmpeg on Windows)
• Python 3 with Pillow (pip install pillow)

2. Configure environment keys

export MUAPI_API_KEY="your-api-key"     # image / video / voice / music models — key from muapi.ai
export OPENAI_API_KEY="your-openai-key"  # story planning & ASR

3. Run Pipeline via Agent or CLI:

Mode 1: B-roll (Topic → Film)

Ask your coding agent:

"Make me a 15-second Vox-style collage video introducing the history of coffee."

Or run CLI scripts manually:

python scripts/style_bakeoff.py out/my-topic american-retro,swiss-modern,punk-zine
python scripts/keyframes.py out/my-topic
python scripts/clips.py out/my-topic
python scripts/audio.py out/my-topic
python scripts/assemble.py out/my-topic

Mode 2: A-roll (Talking-Head Video → Collage)

python scripts/asr_beats.py out/my-aroll source_presentation.mp4
python scripts/aroll_clips.py out/my-aroll
python scripts/aroll_assemble.py out/my-aroll

Mode 3: C-roll (Single Photo / Product → Anchored Collage)

python scripts/croll_keyframes.py out/my-croll
python scripts/clips.py out/my-croll
python scripts/audio.py out/my-croll
python scripts/assemble.py out/my-croll

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🛠️ Project Structure

.
├── SKILL.md            # full agent workflow + approval gates
├── AGENTS.md           # entry point for coding agents (Claude Code, Codex, Antigravity)
├── README.zh.md        # Chinese documentation
├── scripts/            # one script per pipeline stage
│   ├── muapi_client.py    # MuAPI client wrapper
│   ├── provider.py        # task queue & status polling
│   ├── style_bakeoff.py   # multi-theme style candidates
│   ├── keyframes.py       # B-roll collage poster generator
│   ├── clips.py           # B-roll video animator (Veo 3.1)
│   ├── audio.py           # TTS narration & Suno music generator
│   ├── text_overlay.py    # subtitle captions & watermark generator
│   ├── assemble.py        # ffmpeg video assembly, ducking & composition
│   ├── asr_beats.py       # A-roll Whisper ASR beat cutter
│   ├── aroll_clips.py     # A-roll talking-head video restyler
│   ├── aroll_assemble.py  # A-roll clip & audio remuxer
│   └── croll_keyframes.py # C-roll photo sticker anchor generator
├── references/         # prompt guide, beat/story library, voices
└── examples/           # sample beats.json

This is an agent skill — Claude Code auto-loads it from SKILL.md; Codex and other agents follow SKILL.md via AGENTS.md. Just ask for a "vox video" or a "collage video."

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🔗 Related Projects

• MuAPI — Unified API for the image, video, speech, voice, and music models used by this pipeline.
• MuAPI video generation docs — API guidance for the image-to-video and text-to-video stages.
• MuAPI music and speech docs — API guidance for narration, voice cloning, and background-music generation.
• Open-AI-Micro-Drama-Generator — agentic AI micro-drama video generator
• AI-B-roll — auto-generate AI b-roll for your videos
• Text-To-Video-AI — generate full videos from text
• AI-Youtube-Shorts-Generator — auto-clip long videos into viral vertical shorts
• awesome-ai-video-models — compare AI video models by API, price & speed

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