librifygen 0.2.0

Thumbnail + preview tools for media folders (ffmpeg + pillow helpers).

Librifygen

High-performance thumbnail & preview generator for videos and images.

Librifygen is a cross-platform media processing toolkit that generates:

• Image thumbnails
• Video thumbnails (single-frame extraction)
• Video preview clips (random segments stitched together)
• Full CLI tool + clean Python API
• Designed for automation, content pipelines, and library indexing tools.

Uses ffmpeg for video operations and Pillow for image processing.

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🚀 Features

• Extract thumbnails from videos at midpoint or a provided timestamp
• Resize images intelligently (crop or letterbox)
• Batch-scan directories recursively
• Create multi-clip video previews
• CLI + Python module
• Works on Linux, Windows, macOS
• Safe and predictable processing (temp dirs, logging, error handling)

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📦 Installation

Requires:

Python 3.8+
Pillow
ffmpeg-python
ffmpeg (system binary)

Install Librifygen:

pip install librifygen

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🔧 Installing ffmpeg (Required)

Librifygen depends on the ffmpeg binary being present in your system PATH. Here are the easiest installation methods per OS:

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🟦 Windows

Option A — Use Chocolatey (recommended)

choco install ffmpeg

Option B — Use Scoop

scoop install ffmpeg

Option C — Manual Download

1. Download from: https://www.gyan.dev/ffmpeg/builds/
2. Extract the folder
3. Add the bin/ directory to your PATH environment variable

Verify:

ffmpeg -version

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🍎 macOS

Using Homebrew (recommended)

brew install ffmpeg

Using MacPorts

sudo port install ffmpeg

Verify:

ffmpeg -version

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🐧 Linux

Debian / Ubuntu

sudo apt update
sudo apt install ffmpeg

Fedora

sudo dnf install ffmpeg

Arch Linux

sudo pacman -S ffmpeg

Verify:

ffmpeg -version

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🖥️ CLI Usage

After installation, the librifygen command becomes available:

librifygen <command> [options]

Available commands:

• thumbs — generate thumbnails for images/videos in a directory
• preview — generate multi-clip preview videos

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▶️ Generate Thumbnails

Basic usage

librifygen thumbs /path/to/media /path/to/output

With workers & custom size

librifygen thumbs ~/Pictures ~/Thumbs --workers 8

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🎬 Generate Preview Videos

librifygen preview ./videos ./previews

Custom clips, duration, audio, transitions

librifygen preview ./videos ./previews \
    --num-clips 4 \
    --clip-duration 3 \
    --workers 4

A preview is generated like:

input.mp4 → previews/input_preview.mp4

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🐍 Python API Usage

Use Librifygen directly in your Python code:

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✔ Generate image thumbnail

from librifygen.thumbnail import generate_image_thumbnail

output = generate_image_thumbnail(
    "media/photo.png",
    "thumbnails/photo.jpg"
)

print(output)

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✔ Generate video thumbnail

from librifygen.thumbnail import generate_video_thumbnail

thumb = generate_video_thumbnail(
    "media/video.mp4",
    "thumbnails/video.jpg"
)
print("Thumbnail:", thumb)

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✔ Generate preview video

from librifygen.preview import generate_video_preview

preview = generate_video_preview(
    "media/video.mp4",
    "previews",
    num_clips=4,
    clip_duration=5,
)
print(preview)

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✔ Batch processing

from librifygen.thumbnail import generate_thumbnails

results = generate_thumbnails(
    input_dir="media",
    output_dir="thumbs",
    max_workers=6
)

for src, out in results:
    print(src, "->", out)

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📂 Example Project Structure

You can integrate Librifygen into your own project like:

project/
│
├── media/
│   ├── images/
│   ├── videos/
│
├── thumbs/
│
├── previews/
│
└── generate_media_assets.py

Example script:

from librifygen.thumbnail import generate_thumbnails
from librifygen.preview import batch_create_previews

generate_thumbnails("media", "thumbs", max_workers=8)
batch_create_previews("media/videos", "previews", num_clips=4)

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⚙️ Supported Formats

Images

jpg, jpeg, png, bmp, tiff, webp

Videos

mp4, mov, mkv, webm, avi, flv, m4v

Formats are customizable using:

from librifygen.config import set_extensions
set_extensions(video_exts=[".mp4", ".mov"], image_exts=[".jpg"])

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🧩 Roadmap

• GPU-accelerated previews (via CUDA / Vulkan / Metal)
• Progress bars & verbose CLI
• Config file support
• Parallel image-resizing via ProcessPool optimization
• WebAssembly build (ffmpeg-wasm) for browser-based pipelines

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📝 License

MIT License © Me

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🤝 Contributing

Pull requests welcome. Please open issues for bugs, feature requests, or ffmpeg compatibility questions.

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🧪 Testing your installation

pip install librifygen
librifygen --help