video-editing

Automate AI-driven video editing by running an end-to-end pipeline that analyzes raw footage, scores variants, loops edits, and exports final MP4s and Premiere XML projects across episodes. This workflow processes multi-variant episodic content to generate publish-ready videos with minimal manual steps.

Scene detection works with AI-generated video variants by using PySceneDetect to analyze footage boundaries, while Gemini API scores the variants. The pipeline coordinates this analysis to automate looping edits and assemble consistent multi-variant episodic content into final outputs.

Yes, you need FFmpeg and Python to export Premiere XML and final MP4s from raw footage. The pipeline specifically requires Python, FFmpeg, PySceneDetect, Gemini API access, and a configured .env environment file to execute the end-to-end automated workflow.

Yes, you can use the Gemini API to score video variants and loop edits automatically. The pipeline leverages Gemini access to evaluate multiple variants, coordinating scoring and assembly across scenes to ensure consistency before exporting the final Premiere XML and MP4 files.

The best way to generate Premiere XML projects for multi-variant video assembly is to run an automated pipeline that scores variants and loops edits. This approach outputs Premiere XML projects alongside final MP4s, enabling direct import workflows for publish-ready episodic content.

The automated video editing pipeline requires a .env file configuration to securely manage Gemini API access and environment variables. Setting up this file ensures the Python script can authenticate API calls and execute the end-to-end analysis, scoring, and export workflow.