What is VideoLingo built with?
VideoLingo is a Python repo built with FastAPI, uvicorn, and Streamlit. It uses AI through edge-tts, librosa, nagisa, soynlp, torchaudio, and 8 more, makes its content with openpyxl, xmltodict, and yt-dlp, and uses Hugging Face. It has 17,141 written lines, with 25 test files.
Read on November 6, 2026, at commit 01f8434. Read it as markdown
Frontend
Styles 1
Interface 1
- inquirerpy
Backend
AI 12
- torch7 files
opencv-python2 files
- QWen1 file
- spaCy1 file
librosa
nagisa
torchaudio
torchvision
- mlx-audio1 file
- edge-tts
- soynlp
- transformers
Services 2
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Frequently asked questions
What language is VideoLingo written in?
What framework does VideoLingo use?
Does VideoLingo use AI?
What services does VideoLingo use?
The proof: core/asr_backend/whisperX_local.py, line 51
Does VideoLingo have tests?
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