video-subtitle-cutter

Transcribe video speech, detect filler words and pauses, and generate FFmpeg cut commands with SRT subtitles.

249|47|Updated Nov 5, 2024

Search Tags:#subtitles #transcription #ffmpeg #video-editing #filler-words #ai-analysis

Ready to run

npx skills add https://github.com/different-ai/agent-bank --skill video-subtitle-cutter

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: video-subtitle-cutter
Source: https://github.com/different-ai/agent-bank/tree/main/.opencode/skill/video-subtitle-cutter
Command: npx skills add https://github.com/different-ai/agent-bank --skill video-subtitle-cutter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the tedious task of turning long videos into clean, concise edits by transcribing speech, analyzing the transcript to identify filler words and pauses, and removing nonessential segments.

Core Features & Use Cases

Automated transcription: Generate accurate timestamps and text from video speech using Whisper.
Smart cuts: Detect filler words, long pauses, and distractions to propose or apply cuts.
Subtitle generation: Produce synchronized SRT subtitles for the final video.
Use Case: Create a tight 3–5 minute highlight video from a 20-minute talk for sharing on social media.

Quick Start

Run video-subtitle-cutter on a sample video (e.g., sample.mp4) to generate cut segments and subtitles, then review the FFmpeg commands produced for re-encoding.

Frequently Asked Questions about video-subtitle-cutter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automatically remove filler words and pauses from video speech?▼

To remove filler words and pauses from video speech, this tool transcribes the audio with Whisper, analyzes the transcript to identify nonessential segments, and generates FFmpeg commands to cut and re-encode the clean video.

Can I generate synchronized SRT subtitles after cutting unnecessary video segments?▼

Yes, you can generate synchronized SRT subtitles. After analyzing the transcript and cutting nonessential segments, the tool outputs a clean re-encoded video alongside an SRT subtitle file matched to the final audio.

Do I need Whisper and FFmpeg to transcribe and cut video segments?▼

Yes, you need Whisper for transcription and FFmpeg for re-encoding. The tool relies on Whisper to generate timestamps and text, then uses FFmpeg commands to execute the cuts and produce the final video file.

What is the best way to create short highlight videos from long talks?▼

The best way to create highlight videos from long talks is automating transcription and cut analysis. This tool transcribes the audio, detects filler words and distractions, and outputs FFmpeg commands to produce a concise video.

Does automated video editing analyze transcripts to determine optimal cut points?▼

Yes, automated video editing analyzes transcripts to determine optimal cut points. It identifies filler words, long pauses, and distractions, then generates the exact FFmpeg commands needed to remove those segments.