Veo 4 API: Python Wrapper for Google DeepMind's AI Video Generator

The most comprehensive Python wrapper for the Veo 4 API (developed by Google DeepMind), delivered via muapi.ai. Generate native 4K AI videos up to 30 seconds with integrated audio, character consistency, and advanced camera controls — Google's most powerful video generation model.

Join subreddit Veo4 for discussion

🌊 Also explore these top AI video models:

• Seedance 2.0 API — ByteDance's cinematic 2K video model with character sheets & omni-reference
• HappyHorse 1.0 API — Alibaba's #1 ranked model (1392 Elo I2V) with native 1080p & integrated audio

🚀 Why Use Veo 4 API?

Veo 4 is Google DeepMind's latest state-of-the-art AI video generation model, featuring a 3x larger Transformer architecture than Veo 3, native 4K output, and advanced character anchoring technology.

• Native 4K Output: Every pixel generated from scratch — not upscaled.
• Up to 30 Seconds: Longer clips than any previous Veo model.
• Integrated Audio: Jointly generates synchronized dialogue, ambient sound, and music in one pass (building on Veo 3's audio breakthrough).
• Character Consistency: Advanced anchoring technology keeps faces, clothing, and features consistent across all frames and camera angles.
• Advanced Camera Controls: Pan, zoom, orbit, tracking shots — precise cinematic control.
• Developer-First: Simple Python SDK via MuAPI infrastructure.

🌟 Key Features of Veo 4 API

• ✅ Veo 4 Text-to-Video (T2V): Transform descriptive prompts into stunning native 4K video clips up to 30 seconds.
• ✅ Veo 4 Image-to-Video (I2V): Animate static images with precise motion and camera control using images_list.
• ✅ Integrated Audio-Video Generation: Jointly generate synchronized audio and video in one pass — include sound cues in your prompt.
• ✅ Character Consistency: character_video() anchors on reference photos to keep identity consistent across scenes.
• ✅ Advanced Camera Controls: Specify camera_control for cinematic movements — pan, zoom, orbit, tracking shots.
• ✅ Video Extension: Extend existing Veo 4 clips up to 30 seconds total.
• ✅ Video Edit: Edit existing videos using natural language prompts.
• ✅ File Upload: Upload local images and videos directly via upload_file().
• ✅ Flexible Aspect Ratios: Optimized for 16:9, 9:16 (TikTok/Reels), and 1:1.
• ✅ Quality Tiers: 1080p and 4k (native) output.

🛠 Installation

Via Pip (Recommended)

pip install veo-4-api

From Source

git clone https://github.com/Anil-matcha/Veo-4-API.git
cd Veo-4-API
pip install -r requirements.txt

Configuration

Create a .env file in the root directory and add your MuAPI API key:

MUAPI_API_KEY=your_muapi_api_key_here

🤖 Veo 4 MCP Server

Use Veo 4 as an MCP (Model Context Protocol) server, allowing AI assistants like Claude Desktop or Cursor to directly invoke Veo 4 generation tools.

Running the MCP Server

1. Ensure MUAPI_API_KEY is set in your environment.
2. Run the server:

   python3 mcp_server.py
   

3. To test with the MCP Inspector:

   npx -y @modelcontextprotocol/inspector python3 mcp_server.py
   

💻 Quick Start with Veo 4 API (Python)

from veo4_api import Veo4API



... [View full README on GitHub](https://github.com/Anil-matcha/Veo-4-API#readme)