videocaptioner
DocumentsProcess video subtitles — transcribe speech, optimize/translate text, burn styled subtitles into video. Use when you need to add subtitles to a video, transcribe audio, translate subtitles, or customize subtitle styles.
How to use this skill
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VideoCaptioner CLI
AI-powered video captioning: transcribe speech → optimize subtitles → translate → burn into video with beautiful styles.
When to use
- User wants to add subtitles to a video
- User wants to transcribe audio/video to text
- User wants to translate subtitles to another language
- User wants to customize subtitle appearance (colors, fonts, rounded backgrounds)
- User wants to download and subtitle online videos
Before you start
Always run videocaptioner <command> --help first to check the latest options and defaults before executing a command. The examples below are common patterns, but --help is the source of truth.
- Install:
pip install videocaptioner - FFmpeg required for video synthesis (
brew install ffmpegon macOS) - Free (no API key): transcription (bijian/jianying), translation (Bing/Google)
- Requires LLM API key: subtitle optimization, subtitle re-segmentation, LLM translation. Set via
OPENAI_API_KEYenv var or--api-keyflag
Common scenarios
1. Give a Chinese video English subtitles (one command, all free)
videocaptioner process video.mp4 --asr bijian --translator bing --target-language en \
--subtitle-mode hard --quality high -o output.mp4
2. Transcribe a video to SRT (free)
videocaptioner transcribe video.mp4 --asr bijian -o output.srt
# Output as JSON format to a directory
videocaptioner transcribe video.mp4 --asr bijian --format json -o ./subtitles/
3. Translate existing subtitles
# Free Bing → English, bilingual output with translation above original
videocaptioner subtitle input.srt --translator bing --target-language en --layout target-above -o translated.srt
# Free Google → Japanese, translation only (discard original text)
videocaptioner subtitle input.srt --translator google --target-language ja --no-optimize --layout target-only -o output_ja.srt
# High quality LLM translation with reflective mode
videocaptioner subtitle input.srt --translator llm --target-language en --reflect \
--api-key $OPENAI_API_KEY -o output_en.srt
4. Full pipeline with beautiful styled subtitles
# Anime-style subtitles (warm color + orange outline), high quality video
videocaptioner process video.mp4 --asr bijian --translator bing --target-language ja \
--subtitle-mode hard --style anime --quality high -o output_ja.mp4
# Modern rounded background subtitles
videocaptioner process video.mp4 --asr bijian --translator google --target-language ko \
--subtitle-mode hard --render-mode rounded -o output_ko.mp4
# Custom colors: white text with red outline, ultra quality
videocaptioner process video.mp4 --asr bijian --translator bing --target-language en \
--subtitle-mode hard --quality ultra \
--style-override '{"outline_color": "#ff0000", "primary_color": "#ffffff"}' -o output_en.mp4
5. Subtitle only, output as ASS format (no video synthesis)
videocaptioner process video.mp4 --asr bijian --translator bing --target-language en \
--format ass --no-synthesize -o ./output/
6. Step-by-step control (transcribe → translate → synthesize separately)
# Step 1: Transcribe
videocaptioner transcribe video.mp4 --asr bijian -o video.srt
# Step 2: Translate (bilingual, original text above translation)
videocaptioner subtitle video.srt --translator bing --target-language en --layout source-above -o video_en.srt
# Step 3: Burn into video with rounded background, high quality
videocaptioner synthesize video.mp4 -s video_en.srt --subtitle-mode hard \
--render-mode rounded --quality high -o video_with_subs.mp4
7. Process audio file (auto-skips video synthesis)
videocaptioner process podcast.mp3 --asr bijian --translator bing --target-language en -o ./output/
8. Transcribe other languages (whisper-api)
videocaptioner transcribe french_video.mp4 --asr whisper-api \
--whisper-api-key $OPENAI_API_KEY --language fr -o french.srt
9. Only optimize subtitles with LLM (fix ASR errors, no translation)
videocaptioner subtitle raw_subtitle.srt --no-translate --api-key $OPENAI_API_KEY -o optimized.srt
10. Custom rounded background style with custom font
videocaptioner synthesize video.mp4 -s subtitle.srt --subtitle-mode hard \
--style-override '{"text_color": "#ffffff", "bg_color": "#000000cc", "corner_radius": 10, "font_size": 36}' \
--font-file ./NotoSansSC.ttf --quality high -o styled_video.mp4
Command reference
| Command | Purpose |
|---|---|
transcribe | Speech → subtitles. Engines: bijian(free) jianying(free) whisper-api whisper-cpp |
subtitle | Optimize (LLM) and/or translate (LLM/Bing/Google) subtitle files |
synthesize | Burn subtitles into video with customizable styles |
process | Full pipeline: transcribe → optimize → translate → synthesize |
download | Download video from YouTube, Bilibili, etc. |
config | Manage settings (show set get path init) |
style | List all subtitle style presets with parameters |
Run videocaptioner <command> --help for full options.
Subtitle styles
Two rendering modes for beautiful subtitles:
ASS mode (default) — outline/shadow style:
- Presets:
default(white+black outline),anime(warm+orange outline),vertical(portrait videos) - Customizable fields:
font_name,font_size,primary_color,outline_color,outline_width,bold,spacing,margin_bottom
Rounded mode — modern rounded background boxes:
- Preset:
rounded(dark text on semi-transparent background) - Customizable fields:
font_name,font_size,text_color,bg_color(#rrggbbaa),corner_radius,padding_h,padding_v,margin_bottom
Style options only work with --subtitle-mode hard.
Target languages
BCP 47 codes: zh-Hans zh-Hant en ja ko fr de es ru pt it ar th vi id and 23 more.
Environment variables
| Variable | Purpose |
|---|---|
OPENAI_API_KEY | LLM API key |
OPENAI_BASE_URL | LLM API base URL |
Exit codes
0 success · 2 bad arguments · 3 file not found · 4 missing dependency · 5 runtime error
Tips
- Use
-qfor scripting (stdout = result path only) - Bing/Google translation is free, no API key needed
bijian/jianyingASR is free but only supports Chinese & English- Run
videocaptioner styleto see all style presets