kadirnar/whisper-plus

Health v2 · maintenance only

Adoption not part of the score

1950 stars · 146 forks observed · 2026-10-19

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library wrapping OpenAI Whisper-family models (including distil-whisper and MLX variants) for fast speech-to-text transcription with quantization and flash-attention support. It also provides YouTube audio download utilities and a speaker diarization pipeline.

Use cases

• transcribe youtube videos to text
• convert audio to text with whisper
• run whisper faster with quantization
• transcribe audio on apple silicon with mlx
• download youtube audio for transcription
• batch transcribe long audio files

When to choose

• you want a high-level pipeline over Whisper models with quantization and flash attention
• you need to transcribe YouTube videos end-to-end in Python
• you run on Apple Silicon and want MLX-accelerated Whisper

When to avoid

• you need a production-grade managed transcription service
• you only need simple audio playback or editing rather than transcription
• you require non-Whisper ASR models

Facets

library · maturity active

speech-recognition audio-processing machine-learning llm-inference speech-processing machine-learning python cli whisper transcription youtube-downloader quantization mlx huggingface distil-whisper audio natural-language-processing macos gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="kadirnar/whisper-plus")