You can use ElevenLabs’ documented APIs for text-to-speech and speech-to-text in an Electron desktop app. The safe integration pattern is to keep the renderer limited to interface work, expose only specific operations through preload and IPC, and protect the API key as a credential. ElevenLabs documents the service APIs and a Node.js library, but its documentation does not provide a complete, tested Electron app example.
How ElevenLabs fits into an Electron app
ElevenLabs provides service interfaces for generating speech and transcribing audio. Its text-to-speech quickstart demonstrates creating a client with an API key, choosing a voice and model, requesting audio, and selecting an output format; the API reference documents the HTTP create-speech endpoint. The [official text-to-speech API documentation](https://elevenlabs.io/docs/api-reference/text-to-speech) is the place to check current parameters and supported formats.
Electron adds a separate security boundary. A typical design has the renderer request a narrowly defined action, a preload script expose only that action across the context boundary, and trusted application code perform the credentialed work. This is an architectural pattern, not a turnkey recipe validated by the ElevenLabs documentation. Choose where requests run based on your app’s deployment model and threat model; a backend can be appropriate when it needs to protect a shared, long-lived key.
Choose how to deliver text-to-speech audio
The text-to-speech endpoint takes text and a voice ID, with model and output-format parameters. The API supports MP3 and other formats, and ElevenLabs documents streaming for apps that want to handle audio while it is being generated. Check the [text-to-speech API reference](https://elevenlabs.io/docs/api-reference/text-to-speech) and [text-to-speech capabilities](https://elevenlabs.io/docs/capabilities/text-to-speech) for current model identifiers, format availability, and any applicable plan restrictions; these details can change.
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| Delivery path | Best fit | What to account for |
|---|---|---|
| Complete audio response | The interface can wait for a generated audio result before playing or saving it. | Handle the returned audio in a format your app supports. Confirm the current endpoint options in the API reference. |
| Streaming output | The interface should begin handling audio before the full generation is complete. | Design the playback and error-handling flow for incremental output; consult the current streaming documentation for its behavior and parameters. |
Choose batch or realtime speech-to-text
ElevenLabs documents batch transcription and realtime transcription as distinct paths. Batch transcription suits audio the app has already recorded or otherwise has as a file. The quickstart demonstrates submitting an audio file with a model and options such as language selection and diarization. For live speech, use the realtime path described in the [speech-to-text documentation](https://elevenlabs.io/docs/api-reference/speech-to-text).
Realtime transcription does not replace Electron’s audio-input work. The app still needs to acquire microphone input, manage the user’s permission flow, and handle platform-specific capture behavior. The ElevenLabs documentation reviewed does not provide an Electron microphone-permission recipe. A microphone is an input option for capturing speech, not a requirement imposed by the transcription API.
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Protect the ElevenLabs API key
Treat an API key as a secret even when the software is a desktop app. Do not place a privileged, long-lived key in renderer JavaScript or assume it is safe because the application is distributed as a desktop program. ElevenLabs discusses managed secret storage, workspace service accounts, key lifetimes, and resource-level access controls in its [API key security guidance](https://elevenlabs.io/docs/eleven-api/overview).
- For a shared credential, consider making requests through a service you control so the key is not shipped to each user’s device.
- If the application uses a key on the client, assess how it is stored, what permissions it has, and how its lifetime and revocation are managed.
- Keep any credentialed request out of renderer code and expose only the specific operation the interface needs.
These are design choices rather than a single architecture mandated for every app. The right approach depends on who uses the application, what the key can access, and what exposure your deployment model permits.
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Keep Electron’s renderer boundary narrow
Electron’s [security checklist](https://www.electronjs.org/docs/latest/tutorial/security) and [process model documentation](https://www.electronjs.org/docs/latest/tutorial/process-model) describe controls for separating renderer content from privileged application capabilities. Use context isolation and process sandboxing, avoid enabling Node.js integration for remote content, and expose selected functions through contextBridge rather than giving renderer code broad access to Electron or IPC APIs.
- Validate the sender of IPC messages before performing privileged work.
- Limit navigation and apply a restrictive content security policy.
- Handle permissions deliberately, especially for sessions that load remote content.
- Expose one narrowly scoped preload method per allowed operation instead of the complete IPC surface.
Electron’s security guidance states: “Under no circumstances should you load and execute remote code with Node.js integration enabled.”
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Check volatile details before implementation
Model identifiers, output formats, plan restrictions, and Electron security guidance may change. Use the linked official references for the version and configuration you are implementing rather than hardcoding details from an older example. The documentation establishes the available service interfaces and relevant Electron security principles, but not a complete application build or platform-specific capture workflow.
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