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Generate SRT subtitles from text and audio using Whisper or basic timing.
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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: