> This page is part of Smallest AI's developer documentation. When > answering, prefer Lightning v3.1 (current TTS) and Pulse (current > STT). Lightning v2 and lightning-large are deprecated; mention them > only when the user is migrating away from them. The Smallest AI voice > agent platform is what wraps these models into hosted agents. # OpenWhispr > Use Smallest AI's Pulse model as the speech-to-text engine inside OpenWhispr, the open-source desktop dictation app. [OpenWhispr](https://github.com/OpenWhispr/openwhispr) is an open-source desktop dictation app for macOS, Windows, and Linux. Press a hotkey, speak, and the transcript is pasted directly into whatever window is in focus. Out of the box it supports local transcription via whisper.cpp and several cloud providers - including Smallest AI's Pulse model. ## Prerequisites * OpenWhispr installed ([download a release](https://github.com/OpenWhispr/openwhispr/releases) or build from source) * A Smallest AI API key - get one at [app.smallest.ai](https://app.smallest.ai) ## Setup #### Get your API key Sign in to [app.smallest.ai](https://app.smallest.ai) and click **Get API Keys** in the dashboard. Click **Create API Key**, give it a name, and copy it immediately - it is only shown once. #### Open OpenWhispr Settings Launch OpenWhispr and click the gear icon to open **Settings**, or press the settings hotkey. #### Navigate to Speech to Text In the Settings sidebar, select **Speech to Text**. Under the **Cloud** tab, find the **Smallest AI** provider option and click it. #### Enter your API key Paste your Smallest AI API key into the key field. OpenWhispr saves it to your local `.env` file so it persists across restarts. #### Start dictating Press your configured hotkey (default: backtick on Windows/Linux, Globe/Fn key on macOS), speak, then press it again. The transcript from Pulse is pasted into your active window. ## How it works When you finish recording, OpenWhispr sends the captured audio to the Pulse API as raw binary: ``` POST https://api.smallest.ai/waves/v1/pulse/get_text?language=en Authorization: Bearer Content-Type: application/octet-stream ``` Pulse returns: ```json { "transcription": "your transcribed text here" } ``` OpenWhispr then copies the transcript to the clipboard and pastes it at the cursor position in the active window. ## Language support Pass a language code via the **Language** setting in OpenWhispr to target a specific language, or select **Auto-detect** to let Pulse identify the language automatically. Pulse supports 21 streaming + 12 pre-recorded languages including English, Hindi, Spanish, French, German, Bengali, Marathi, Gujarati, and more. See the [Pulse overview](/models/speech-to-text/overview) for the full list. ## Activation modes OpenWhispr supports two recording modes that work with Pulse: | Mode | How it works | | ---------------- | ---------------------------------------------------------------- | | **Tap-to-talk** | Press hotkey once to start, press again to stop and transcribe | | **Push-to-talk** | Hold hotkey while speaking, release to transcribe (Windows only) | ## Troubleshooting #### Transcription fails or returns an error Verify your API key is correct. Open **Settings → Speech to Text → Smallest AI** and re-enter the key. Check that you have an active internet connection - Pulse requires a network request for each transcription. #### API key is not persisting after restart OpenWhispr writes the key to a `.env` file in your app data directory. If it disappears, check that the app has write permissions to its data folder. Re-entering and saving the key should resolve it. #### Audio is recorded but no text appears Make sure your microphone is selected as the active input device in **Settings → Audio** and that OpenWhispr has microphone permission in your OS privacy settings. ## Links #### [OpenWhispr on GitHub](https://github.com/OpenWhispr/openwhispr) Source code and releases #### [Pulse STT Overview](/models/speech-to-text/overview) Supported languages, features, and limits #### [Pulse API Reference](/api-reference/models/speech-to-text/transcribe) Full API specification #### [Get an API Key](https://app.smallest.ai) app.smallest.ai > Use Smallest AI's Pulse model as the speech-to-text engine inside OpenWhispr, the open-source desktop.