videopython 0.20.0

Minimal video generation and processing library.

videopython

Minimal Python library for video editing, processing, and AI video workflows. Built primarily for practical editing workflows, with optional AI capabilities layered on top. Open-source and local-first: all AI workflows run on your hardware.

Full documentation lives at videopython.com (guides, examples, and complete API reference).
Use this README for quick setup and a feature overview.

Installation

1. Install FFmpeg

# macOS
brew install ffmpeg

# Ubuntu / Debian
sudo apt-get install ffmpeg

# Windows (Chocolatey)
choco install ffmpeg

2. Install videopython

# Core video/audio features only
pip install videopython
# or
uv add videopython

# Include AI features
pip install "videopython[ai]"
# or
uv add videopython --extra ai

Python support: >=3.10, <3.13.

Quick Start

Video editing

from videopython import Video
from videopython.base import FadeTransition

intro = Video.from_path("intro.mp4").resize(1080, 1920)
clip = Video.from_path("raw.mp4").cut(10, 25).resize(1080, 1920).resample_fps(30)
final = intro.transition_to(clip, FadeTransition(effect_time_seconds=0.5))
final = final.add_audio_from_file("music.mp3")
final.save("output.mp4")

JSON editing plans (VideoEdit)

from videopython.base import VideoEdit

plan = {
    "segments": [
        {
            "source": "raw.mp4",
            "start": 10.0,
            "end": 20.0,
            "transforms": [{"op": "resize", "args": {"height": 1280}}, {"op": "speed_change", "args": {"speed": 1.25}}],
        }
    ],
    "post_effects": [
        {"op": "blur_effect", "args": {"mode": "constant", "iterations": 1}, "apply": {"start": 0.0, "stop": 1.0}}
    ],
}

edit = VideoEdit.from_dict(plan)
edit.validate()  # dry run via VideoMetadata (no frame loading)
final = edit.run()
final.save("output.mp4")

Use post_transforms for transforms and post_effects for effects. VideoEdit.json_schema() returns a parser-aligned JSON Schema for plan generation/validation.

AI generation

from videopython.ai import TextToImage, ImageToVideo, TextToSpeech

image = TextToImage().generate_image("A cinematic mountain sunrise")
video = ImageToVideo().generate_video(image=image, fps=24).resize(1080, 1920)
audio = TextToSpeech().generate_audio("Welcome to videopython.")
video.add_audio(audio).save("ai_video.mp4")

Functionality Overview

videopython.base (no AI dependencies)

• Video I/O and metadata: Video, VideoMetadata, FrameIterator
• Editing plans: VideoEdit, SegmentConfig (JSON/LLM-friendly multi-segment plans with schema generation)
• Transformations: cut by time/frame, resize, crop, FPS resampling, speed change, picture-in-picture
• Clip composition: concatenate, split, transitions (FadeTransition, BlurTransition, InstantTransition)
• Visual effects: blur, zoom, color grading, vignette, Ken Burns, image overlays
• Audio pipeline: load/save audio, overlay/concat, normalize, time-stretch, silence detection, segment classification
• Text/subtitles: transcription data classes and TranscriptionOverlay
• Scene detection: histogram-based scene boundaries (detect, detect_streaming, detect_parallel)

Docs:

• Core API
• Video
• Audio
• Editing Plans (VideoEdit)
• Transforms
• Transitions
• Effects
• Text & Transcription

videopython.ai (install with [ai])

• Generation: TextToVideo, ImageToVideo, TextToImage, TextToSpeech, TextToMusic
• Understanding:
  • Transcription and captioning: AudioToText, ImageToText
  • Detection/classification: ObjectDetector, FaceDetector, TextDetector
  • Motion/action/scene understanding: CameraMotionDetector, MotionAnalyzer, ActionRecognizer, SemanticSceneDetector
• AI transforms: FaceTracker, FaceTrackingCrop, SplitScreenComposite
• Dubbing/revoicing: videopython.ai.dubbing.VideoDubber
• Object swapping/inpainting: ObjectSwapper

Docs:

• AI Generation
• AI Understanding
• AI Transforms
• AI Dubbing
• AI Object Swapping

Local AI Runtime Notes

• videopython.ai is local-only and does not require cloud API keys.
• Several AI features download model weights on first run and can require substantial GPU resources.
• Device/model details by class are documented at videopython.com.

Examples

• Social Media Clip
• AI-Generated Video
• Auto-Subtitles
• Processing Large Videos

Development

See DEVELOPMENT.md for local setup, testing, and contribution workflow.