# Speech-to-Text (ASR) Models

Transcribe audio to text. Flagships: Whisper, Wizper, ElevenLabs Scribe v2.

**4 models documented in this category.**

| Model | Slug | Creator | Summary |
|---|---|---|---|
| [ElevenLabs Scribe V2 (via FAL.ai)](../skills/fal-ai__elevenlabs__speech-to-text__scribe-v2.md) | `fal-ai/elevenlabs/speech-to-text/scribe-v2` | ElevenLabs | The world's most accurate batch transcription model featuring 98%+ accuracy, multi-speaker diarization, and intelligent keyterm biasing. |
| [Speech-to-Text (Turbo)](../skills/fal-ai__speech-to-text__turbo.md) | `fal-ai/speech-to-text/turbo` | NVIDIA (NeMo Canary family) | An ultra-fast, real-time speech-to-text model powered by NVIDIA Canary-1B for high-accuracy transcription. |
| [Whisper (OpenAI)](../skills/fal-ai__whisper.md) | `fal-ai/whisper` | OpenAI | A state-of-the-art speech recognition and translation model by OpenAI, optimized for high-speed inference on fal.ai. |
| [Wizper (Whisper v3)](../skills/fal-ai__wizper.md) | `fal-ai/wizper` | OpenAI | An optimized version of OpenAI's Whisper v3 Large for high-performance transcription and translation. |

## When to pick what

See each individual model's skill file for full prompting tips, parameter tuning, and alternatives.