whisper▌

Multilingual speech recognition with 99 languages, transcription, translation, and six model sizes from 39M to 1550M parameters. \n \n Supports transcription, translation to English, language identification, and word-level timestamps across 99 languages trained on 680,000 hours of audio \n Six model sizes (tiny through large) with configurable speed/quality tradeoffs; turbo model offers 8× speedup over large with comparable quality \n GPU acceleration delivers 10–20× faster processing; CPU trans

Routes NVIDIA Nemotron Speech (Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted.

Transcribe an audio file via OpenAI’s /v1/audio/transcriptions endpoint. Set OPENAI_BASE_URL to use an OpenAI-compatible proxy or local gateway.

Local speech-to-text transcription using OpenAI's Whisper CLI without API keys. \n \n Transcribes audio files (MP3, M4A, and other formats) directly on your machine with no external API calls required \n Supports multiple model sizes (tiny, base, small, medium, large, turbo) with automatic caching to ~/.cache/whisper on first run \n Offers transcription and translation tasks with configurable output formats (TXT, SRT, JSON, VTT) \n Requires only the whisper CLI binary, installable via Homebrew o

Transcribe any audio or video to text using OpenAI's Whisper model - the same technology powering ChatGPT voice features.

$22