aviz85/claude-skills-library/embed-subtitles

Claude Code and agent skill by aviz85/claude-skills-library

Trust tier 2
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Burn subtitles onto videos using FFmpeg. Use for: hardcode subtitles, embed captions, video subtitling.

Install

npx vskill@latest install aviz85/claude-skills-library/embed-subtitles

SKILL.md

Embed Subtitles

Burn SRT subtitles into video files using FFmpeg.

Prerequisites

No SRT file? Use the transcribe skill first to generate subtitles from audio/video.

Need translation? After transcribing, read the SRT, translate each entry preserving timestamps, write new SRT file. No API needed.

Quick Start

bash
cd ~/.claude/skills/embed-subtitles/scripts
# Burn SRT into video
npx ts-node embed-subtitles.ts -i video.mp4 -s subtitles.srt -o output.mp4
# Custom styling
npx ts-node embed-subtitles.ts -i video.mp4 -s subtitles.srt -o output.mp4 \
--font-size 24 --position bottom --margin 40
# Add credit text overlay at end
npx ts-node embed-subtitles.ts -i video.mp4 -s subtitles.srt -o output.mp4 \
--credit "Your Name" --credit-position top

Options

OptionShortDefaultDescription
--input-i(required)Input video file
--subtitles-s(required)SRT subtitle file
--output-o(required)Output video file
--font-size20Font size in pixels
--font-nameArialFont family name
--positionbottomSubtitle position: top, center, bottom
--margin25Margin from edge in pixels
--colorwhiteText color
--outline2Outline thickness
--shadow1Shadow depth
--creditCredit text to show at end
--credit-positiontopCredit position: top, bottom
--credit-duration2.5Credit display duration in seconds
--extract-frameExtract frame at specified second for verification

Position Values

  • top - Near top of video (good for credits, avoids bottom burned-in text)
  • center - Middle of video
  • bottom - Near bottom of video (traditional subtitle position)

Dependencies

  • FFmpeg (must be installed and in PATH)

RTL Auto-Detection & Fix (CRITICAL)

Before embedding ANY SRT file, Claude MUST check if the content is RTL.

Detection

Read the SRT file and check if the majority of text lines contain Hebrew/Arabic/Farsi characters:

  • Hebrew range: \u0590-\u05FF
  • Arabic range: \u0600-\u06FF
  • Farsi additional: \u0750-\u077F

If RTL content is detected, apply the fix BEFORE passing to FFmpeg.

RTL Fix

Wrap each text line (not index numbers, not timestamps) with Unicode directional marks:

python
python3 -c "
import re
with open('SRT_FILE_PATH', 'r', encoding='utf-8') as f:
content = f.read()
lines = content.split('\n')
result = []
for line in lines:
stripped = line.strip()
if stripped and not re.match(r'^\d+$', stripped) and not re.match(r'\d{2}:\d{2}:\d{2}', stripped):
line = '\u202B' + line + '\u202C'
result.append(line)
with open('SRT_FILE_PATH', 'w', encoding='utf-8') as f:
f.write('\n'.join(result))
"
  • U+202B (RLE - Right-to-Left Embedding): forces RTL paragraph direction
  • U+202C (PDF - Pop Directional Formatting): closes the embedding

This fixes: English words at line start, periods/commas on wrong side, mixed bidi text.

When to apply

Claude should analyze the SRT content intelligently:

  • If most text is Hebrew/Arabic/Farsi → apply RTL fix
  • If mixed but predominantly RTL → apply RTL fix
  • If LTR (English, Spanish, etc.) → skip
  • No flag needed from the user - detect automatically

Notes

  • For Arabic credits, use English text due to FFmpeg drawtext RTL limitations
  • Use --extract-frame to verify subtitle positioning before final render

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
26
Repository forks
7
7-day trend score
16

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 12 Apr 2026, 7 months ago.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/aviz85/claude-skills-library/embed-subtitles/badge)](https://verified-skill.com/skills/aviz85/claude-skills-library/embed-subtitles)

Something wrong with this skill or its page? Tell us.