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AutoCut project preview
MediaAlternative to RiversideAlternative to CapCutAlternative to Descript

AutoCut

AI-powered automated video trimming and silence removal tool based on subtitles.

View on GitHub
LicenseApache-2.0
GitHub stars5.2k
Last commit1 weeks ago
Tags6 topics
Video EditingVideo AutomationSubtitlesWhisper AiSilence RemovalPython
Overview

Why consider AutoCut?

AutoCut is an open-source AI video editor that automatically cuts dead air, removes silences, and generates synchronized video subtitles using OpenAI Whisper audio recognition.

Guided learning

Learn AutoCut by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of AutoCut

AutoCut accelerates podcast and tutorial video editing by transcribing dialogue with Whisper and automatically cutting pauses and filler words.

Quickstart

bash
1pip install autocut
2autocut -t video.mp4

AutoCut is licensed under the Apache License Version 2.0.

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AutoCut FAQs

AutoCut is listed as a Media tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

AutoCut is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

AutoCut is listed as an alternative to Riverside. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.