VideoPilot — AI-Powered Video Editing Platform

VideoPilot is an AI-powered video editing & generation platform with 65+ modules for enhancing, manipulating, and creating videos.

Features

• 65+ Modules: Covers enhancement, manipulation, style transfer, temporal effects, audio-visual processing, smart editing, and more
• AI-Powered: Leverages state-of-the-art AI models for video processing
• CPU/GPU Support: Modules can run on CPU or GPU depending on requirements
• Pipeline System: Chain multiple modules together for complex workflows
• Extensible: Easy to add new modules following the base interface

Installation

pip install -e .[all]

Usage

from core.pipeline import Pipeline
from core.task_router import TaskRouter
from core.input_handler import analyze_inputs

# Initialize task router
router = TaskRouter()

# Analyze inputs
inputs = analyze_inputs(video_path="input.mp4")

# Create a pipeline
pipeline = Pipeline()
pipeline.add_step(router.get_module("color_grading"), options={"intensity": 0.8})
pipeline.add_step(router.get_module("stabilization"))
pipeline.add_step(router.get_module("auto_subtitles"), options={"language": "en"})

# Run pipeline
result = pipeline.run(inputs)

if result.success:
    print(f"Output saved to: {result.final_output}")

Modules

Categories

• Enhancement: Color grading, stabilization, denoising
• Manipulation: Face swap, object removal, resizing
• Style: Artistic filters, anime style, cinematic looks
• Temporal: Slow motion, time lapse, reverse
• Audio Visual: Voiceover, auto subtitles, music generation
• Smart Edit: Scene detection, auto crop, motion tracking
• Generative: Text-to-video, image-to-video, video-to-video

Configuration

The application can be configured using environment variables in .env file. See .env.example for available options.

Development

To run the tests:

pytest tests/

License

MIT