Pixelle Video: One Engine to Automate Your Entire Short Video Workflow

If you’ve ever tried to automate short video creation—think social clips, product demos, or quick edits—you know it’s a mess of tools: one for cutting, one for transitions, another for captions, and a rendering pipeline that barely holds together.

Pixelle Video flips that. It’s a single engine designed to handle the whole short video production pipeline, end to end. No stitching together five different libraries. No manual export scripts. You feed it raw footage (or a prompt), and it spits out a finished short video.

What It Does

Pixelle Video is an open source engine (GitHub link below) that automates the creation of short-form videos. Under the hood, it combines:

• Scene detection & segmentation – automatically finds cuts, transitions, and key moments.
• Text-to-video generation (optional) – you can generate clips from a description.
• Caption & subtitle injection – adds readable, time-synced text overlays.
• Audio ducking & background music – adjusts audio levels and blends tracks.
• Template-based output – you define aspect ratios, styles, and length.

The core philosophy: you give it a set of inputs (video files, transcript text, or a prompt), and it outputs a publish-ready short video without manual intervention.

Why It’s Cool

One pipeline, not a frankenstack. Most short video tools are decoupled. Pixelle Video keeps everything in one engine, so you don't have to babysit a chain of separate scripts.

Templates are configurable. You can define your own templates for different platforms (TikTok, YouTube Shorts, Instagram Reels) and the engine will automatically adjust crop, duration, and text placement. No more manual re-exporting.

It’s local or cloud. You can run it on your own hardware (GPU recommended) or deploy it as a service. For devs building a SaaS or internal tool, that’s a huge plus—no vendor lock-in.

Speech-to-text is built in. No need to call an external API for captions. It uses local models or optional cloud providers.

How to Try It

The repository is at AIDC-AI/Pixelle-Video. Here’s the quickstart:

git clone https://github.com/AIDC-AI/Pixelle-Video.git
cd Pixelle-Video
pip install -r requirements.txt
python run_pixelle.py --input ./my_footage.mp4 --template social_short

That’s it. T