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Coding Agents & IDEs
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Video Subtitles

Featured

Generate SRT subtitles from video/audio with Hebrew & English transcription, translation, and burn-in support for WhatsApp and social media.

Nimrod Gutmanv1.0.0
ProductivityAI PoweredOpen SourceAutomationDeveloper Tool
Connecting to VM...
Connecting to VM...
npx clawhub@latest install video-subtitles
13Stars
6.9kDownloads
59Current Installs
📦
v1.0.0Version
📅
Mar 24, 2026Updated
View Source(ClawHub)

Video Subtitles Skill Overview

Video Subtitles generates professional, movie-style subtitles from any video or audio file. It supports Hebrew transcription via the ivrit.ai fine-tuned model, English transcription via OpenAI Whisper large-v3, and automatic language detection. Subtitles can be exported as .srt files, translated between languages, or burned directly into the video so they display everywhere — including WhatsApp and social media platforms that ignore soft subtitle tracks.

How to Use It

Step 1: Run in your terminal or install this skill on MyClaw

npx clawhub@latest install video-subtitles
or

Click the Install button at the top of this page for one-click setup

When to Use Video Subtitles

Best Fit

  • You need accurate Hebrew transcription and want the best available model (ivrit.ai fine-tuned).
  • You're creating captions for WhatsApp, Instagram Reels, or TikTok where hardcoded subtitles are required for visibility.
  • You want to translate Hebrew video content to English and produce a captioned output in one step.
  • You need a clean .srt file for uploading to YouTube, a video editor, or a streaming platform.

When Not to Use

  • You need transcription for languages other than Hebrew or English — this skill only supports those two.
  • You require soft subtitle tracks in languages beyond English, or need multi-language subtitle support in a single output file.

Key Features

Best-in-class Hebrew Transcription (ivrit.ai)

Uses the ivrit.ai fine-tuned model specifically optimized for Hebrew, delivering significantly higher accuracy than generic speech recognition models for Hebrew-language content.

English Transcription via Whisper large-v3

Leverages OpenAI's Whisper large-v3 model for high-quality English transcription. The skill automatically selects the right model based on detected language.

Subtitle Burn-in for Social Media

Hardcodes subtitles directly into the video pixels using FFmpeg, making them permanently visible on any platform — ideal for WhatsApp, Instagram, and other apps that ignore soft subtitle tracks.

Hebrew → English Translation

Translates transcribed Hebrew text to English and can burn the translated subtitles into the output video in the same command, enabling one-step localization.

Movie-style Subtitle Formatting

Automatically formats subtitles with natural line breaks (max 42 characters/line, 2 lines), duration limits (1–7 seconds), and cinematic styling — white text with a black outline, bottom-aligned.

Flexible Output Modes

Outputs a plain text transcript to stdout by default. Add --srt for a subtitle file, --burn for a hardcoded video, or --embed for a soft subtitle track that players can toggle.

Use Cases

Captioning Hebrew social media videos

Run the skill with --burn on a Hebrew-language video to produce a .mp4 with permanently visible subtitles. Share directly to WhatsApp or Instagram without worrying about subtitle compatibility.

Translating Hebrew content to English

Use --translate en --burn to transcribe a Hebrew video and burn English subtitles into the output — useful for sharing Hebrew-language interviews, lectures, or clips with international audiences.

Generating SRT files for video editors or YouTube

Run with --srt to produce a standard .srt subtitle file alongside the source video. Import it into Premiere Pro, Final Cut, DaVinci Resolve, or upload directly to YouTube's caption manager.

Extracting a plain text transcript

Run the skill without flags to get a clean text transcript printed to stdout — useful for producing meeting notes, show notes, or searchable content archives from recorded audio or video.

Requirements

  • ffmpeg-full — Required for burning subtitles into video. Install with brew install ffmpeg-full.
  • uv — Python package manager used to auto-install Python dependencies.
  • AI Models (auto-downloaded) — ivrit.ai Hebrew model and Whisper large-v3 English model, approximately 3 GB each, downloaded automatically on first use.
Connecting to VM...
npx clawhub@latest install video-subtitles
13Stars
6.9kDownloads
59Current Installs
📦
v1.0.0Version
📅
Mar 24, 2026Updated
View Source(ClawHub)

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