You do not need an API key to use HyperWhisper. By default, transcription runs on HyperWhisper Cloud. It works immediately after installation, and it needs no setup. Your first credit purchase (from $5) creates an account key with 5,000 credits (approximately $5 of value — see Providers). HyperWhisper Cloud is priced at face value with no markup. You pay the same per-minute rate as a direct holder of the provider’s API key.Use this page only if you want to send transcription or post-processing to your own provider account. For example, you have corporate credits, you have a free tier, or you want a model that Cloud does not offer.
How to Get an API Key
These sections show how to get an API key from each provider.OpenAI
Groq
Deepgram
Assembly AI
Soniox
Get your API key at console.soniox.com. [Video Tutorial Coming Soon]Grok (SpaceXAI)
You can use Grok for transcription and for post-processing. Get your API key at console.x.ai. [Video Tutorial Coming Soon]ElevenLabs
When you create your ElevenLabs API key, enable these permissions:- Speech to Text — necessary for Scribe transcription
- Models — necessary for the model availability checks
Mistral
[Video Tutorial Coming Soon]Anthropic
Cerebras
You can use Cerebras for post-processing only. Get your API key at cloud.cerebras.ai. [Video Tutorial Coming Soon]Google Gemini
Gemini 3.5 Transcribe
Gemini 3.5 Transcribe has its own key slot, next to Google Gemini. Get the key at aistudio.google.com/apikey — the same page as Gemini.Meta Muse Voice Transcribe
Get a Meta Model API key from Meta for Developers. Add it to the Meta slot in Model Library → API Keys. The key stays in your operating system’s secure credential store. A direct Meta mode sends its normalized WAV file from your device toapi.meta.ai. It does not send the request through HyperWhisper Cloud and does not use HyperWhisper credits.
HyperWhisper does not make a hidden audio request to test the key. The app reports the key as configured and validates it on your first transcription.
Gemini 3.5 Transcribe is a speech model. You use it for transcription and for streaming transcription. You cannot use it for post-processing. Use Google Gemini for post-processing.
[Video Tutorial Coming Soon]