ffsubsync automatically aligns subtitle files to spoken audio by analyzing timing from a reference video or audio file. It is a strong fit for agent workflows that need to repair drifting subtitles without manual waveform editing.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "ffsubsync Subtitle Synchronization Tool"
slug: "ffsubsync-subtitle-synchronization-tool"
description: "ffsubsync automatically aligns subtitle files to spoken audio by analyzing timing from a reference video or audio file. It is a strong fit for agent workflows that need to repair drifting subtitles without manual waveform editing."
github_stars: 7659
verification: "security_reviewed"
source: "https://github.com/smacke/ffsubsync"
author: "smacke"
category: "Media & Transcription"
framework: "Multi-Framework"
tool_ecosystem:
github_repo: "smacke/ffsubsync"
github_stars: 7659
---
# ffsubsync Subtitle Synchronization Tool
ffsubsync automatically aligns subtitle files to spoken audio by analyzing timing from a reference video or audio file. It is a strong fit for agent workflows that need to repair drifting subtitles without manual waveform editing.
## Installation
Use the upstream install or setup path that matches your environment:
- brew install ffmpeg
- pip install ffsubsync
- pip install git+https://github.com/smacke/ffsubsync@latest
Requirements and caveats from upstream:
- [](https://pypi.org/project/ffsubsync)
- Next, grab the package (compatible with Python >= 3.6):
- [ffmpeg](https://www.ffmpeg.org/) and the [ffmpeg-python](https://github.com/kkroening/ffmpeg-python) wrapper, for extracting raw audio from video
Basic usage or getting-started notes:
- -------
- First, make sure ffmpeg is installed. On MacOS, this looks like:
- ~~~
- Source: https://github.com/smacke/ffsubsync
- Extracted from upstream docs: https://raw.githubusercontent.com/smacke/ffsubsync/HEAD/README.md
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/ffsubsync-subtitle-synchronization-tool/)
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.