القائمة
Generate SRT subtitles from text and audio using Whisper or basic timing.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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| name | videolizer |
| description | Generate SRT subtitles from text and audio using Whisper or basic timing. |
| requires_bins | python3,ffmpeg |
| requires_env | GEMINI_API_KEY |
Generate .srt subtitle files from script text + audio.
# Required
pip install moviepy
# Optional (better quality)
pip install openai-whisper
| Mode | Tool | Quality |
|---|---|---|
| whisper | openai-whisper | Word-level timestamps, high accuracy |
| basic | moviepy | Even distribution, fallback |
Auto-detection: uses whisper if installed, falls back to basic mode.
# Generate subtitles
python3 -m videolizer subtitles --text script.txt --audio voice.wav --out subs.srt
# Or manually with whisper
whisper voice.wav --output_format srt --output_dir ./
# Or basic mode (estimate timing from audio duration)
python3 -c "
from moviepy.editor import AudioFileClip
audio = AudioFileClip('voice.wav')
duration = audio.duration
print(f'Audio duration: {duration}s')
"
ffmpeg:ffmpeg -i video.mp4 -vf "subtitles=subs.srt" -c:a copy output.mp4
| Variable | Default | Purpose |
|---|---|---|
VIDEOLIZER_MODE | auto | auto / whisper / basic |
WHISPER_MODEL | base | Whisper model size |
WORDS_PER_GROUP | 3 | Words per subtitle entry |
If whisper fails: