video-subtitles

Transcribe and translate video or audio into SRT subtitles with optional burn-in.

Updated Feb 6, 2026
One-click install
npx skills add https://github.com/dcarmitage/claws --skill video-subtitles
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: video-subtitles
Source: https://github.com/dcarmitage/claws/tree/main/skills/video-subtitles
Command: npx skills add https://github.com/dcarmitage/claws --skill video-subtitles

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires faster-whisper>=1.0.0, and includes scripts (resource) components.

What problem does it solve?

This Skill automates creating SRT subtitles from video or audio, including transcription, translation, and optional burn-in into the video for hardcoded captions.

Core Features & Use Cases

  • Hebrew transcription via ivrit.ai and English transcription via Whisper, with automatic language detection to pick the best model.
  • Translation support (Hebrew → English) and options to burn subtitles into video or embed soft subtitles for selectable viewing.
  • Use Case: Produce accessible captions for films, clips, or social media videos to improve reach and comprehension.

Quick Start

Use this skill to generate a complete SRT from a video by executing the following commands: ./scripts/generate_srt.py video.mp4 ./scripts/generate_srt.py video.mp4 --srt ./scripts/generate_srt.py video.mp4 --srt --burn ./scripts/generate_srt.py video.mp4 --srt --burn --translate en ./scripts/generate_srt.py video.mp4 --lang he

Frequently Asked Questions about video-subtitles

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

FAQPage Schema
How do I generate SRT subtitles from a video file using Whisper?

Transcribe audio or video to SRT subtitles by executing a Python script that leverages faster-whisper for speech recognition and FFmpeg for media processing, passing the media file with the --srt flag to output the caption file.

Can I automatically transcribe Hebrew audio and translate it to English?

Automatically transcribe Hebrew audio using ivrit.ai and English via Whisper with automatic language detection, applying the --translate en flag to convert Hebrew speech into English SRT subtitle files.

What is the difference between burning in subtitles and embedding soft subtitles?

Burning subtitles permanently hardcodes captions into the video pixels using FFmpeg, whereas embedding soft subtitles adds selectable caption tracks, with this tool supporting both hard-burn and soft-subtitle embedding for media players.

Does this transcription method require Python and FFmpeg to be installed?

Generating subtitles requires Python 3.10 or higher, the faster-whisper library, and FFmpeg installed on your system, providing the necessary environment for speech recognition and SRT file burning or embedding.

What is the best way to add hardcoded captions to a video for social media?

Add hardcoded captions by transcribing the video and applying the --burn flag to permanently overlay text via FFmpeg, ensuring subtitles display correctly on social media platforms lacking native subtitle track support.