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Home Assistant Assist is the clearest documented choice for voice commands that can stay in your home. When you configure a local speech-to-text engine, local intent processing, and local text-to-speech, the microphone audio and resulting voice response can remain on your own hardware. Home Assistant’s Voice Preview Edition provides a purpose-built microphone and speaker, but the device does not make a system private by itself: you must select a local pipeline, use a supported language, and provide enough computing power.
Apple Siri is a qualified privacy option rather than a guaranteed local-only assistant. Apple says capable devices process some requests on-device, while other features use servers; HomePod also keeps a local history of Siri interactions. Google Assistant is less suitable for a strict local-only requirement: activated requests are sent to Google’s servers, even though audio recordings are not saved there by default.
What “local processing” and “without cloud storage” actually mean
These phrases describe different privacy properties. Evaluate every assistant against all of them instead of treating “private” or “no cloud storage” as a single technical specification.
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Where the command is processed
End-to-end local processing means the device or computer in your home converts speech to text, interprets the request, and creates the spoken response without sending the request to a remote service. A product can delete an audio file immediately after sending it to a server, but that is still cloud processing, not local processing.
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Whether audio or text is retained
Retention is what remains after processing. An assistant might process audio remotely and then discard the recording, or it might keep recordings, transcripts, account activity, or diagnostics. Retention controls can differ by account, device, feature, and setting.
What happens before activation
Many smart speakers listen locally for a wake word. That only shows that wake-word detection is on the device. After activation, the recognized request may still be uploaded for processing. A local wake word is not proof of a local command pipeline.
Whether the device keeps its own history
“Nothing is stored in the cloud” does not mean that nothing is stored anywhere. Apple says HomePod stores a history of Siri interactions on the speaker and provides a way to delete it through the Home app. Local history, cached transcripts, logs, and connected services must be checked separately.
| Question | What a “yes” means | Why it matters |
|---|---|---|
| Is speech processed locally? | The audio is converted and interpreted on your hardware. | This is the requirement for avoiding cloud processing. |
| Is cloud audio retention disabled? | A remote provider does not keep the recording under the stated setting. | Useful, but it does not make remote processing local. |
| Is local history deleted? | The device does not retain interaction records, or you can remove them. | Prevents a local speaker from becoming an overlooked archive. |
| Are connected services local? | Integrations do not forward the request or resulting data to an external service. | A local voice pipeline can still trigger a cloud-based service. |
Best overall: Home Assistant Assist with a fully local pipeline
Home Assistant documents a complete local path: a microphone captures speech, a local speech-to-text engine turns it into text, Home Assistant interprets the request, and a local text-to-speech engine speaks the response. In Home Assistant’s wording, “Your spoken commands never leave your home: a microphone hears you, a local speech-to-text engine turns your voice into text, Home Assistant figures out what you want, and a local text-to-speech engine speaks the answer back.” That statement applies to a configured fully local pipeline, not to optional cloud features or every service connected to Home Assistant.
What the local pipeline contains
- Listening endpoint: A phone app or voice-activated device captures the request and plays the response.
- Speech-to-text: Home Assistant documents Speech-to-Phrase and Whisper as local choices.
- Intent handling: Home Assistant interprets the text and sends commands to devices in your installation.
- Text-to-speech: Piper is the local speech synthesizer described in the setup documentation.
Home Assistant says the local components send no data to external servers for processing. That promise covers the components you select for the local pipeline. It does not automatically cover a cloud voice service, a third-party integration, remote access, or a device command that depends on an outside provider.
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Speech-to-Phrase versus Whisper
| Engine | Strength | Trade-off | Best fit |
|---|---|---|---|
| Speech-to-Phrase | Designed for fast, focused recognition of a defined set of home-control phrases. | It is a close-ended model, so it does not cover every kind of conversational request. | Lights, switches, scenes, timers, and other supported home-control commands. |
| Whisper | Attempts broader speech transcription and can handle more varied wording. | Speed depends heavily on the host computer; a low-powered system may produce an impractical delay. | Readers who need wider language or phrase coverage and can supply a stronger host. |
| Piper | Produces speech locally for the assistant’s replies. | Voice quality and language availability vary by language. | A local response voice paired with either local speech-to-text option. |
Home Assistant’s documentation cautions that language support and voice quality vary. Check the language support for the exact model and pipeline you intend to use rather than assuming that every language has the same focused model, transcription quality, or response voice.
Hardware you need for Home Assistant
Voice Preview Edition
The Home Assistant Voice Preview Edition is dedicated voice hardware for Assist. It offers a microphone, speaker, a physical microphone-mute switch, and choices between local and cloud processing. The switch cuts microphone power according to the product documentation, which is a hardware-level mute rather than evidence that the rest of the installation is offline.
Focused local processing can run on lower-powered hardware for common predefined phrases. Full local speech recognition needs enough computing power to deliver usable speed and accuracy. For languages without focused local support, the product documentation recommends at least an Intel N100 or equivalent for the described Whisper Base setup. Treat that as guidance for that model and setup, not as a universal minimum for every Whisper model, language, or workload.
The endpoint is not a self-contained, cloud-free assistant. It depends on a Home Assistant host and on the pipeline selected by the user. If you leave a cloud pipeline enabled, the same hardware can send speech to a remote service.
Home Assistant Green
Home Assistant Green is a plug-and-play Home Assistant hub. It can simplify the host portion of a local setup, especially for lighter local speech components, but it is not itself a complete voice assistant. Whether it can process your chosen model at an acceptable speed depends on the speech engine, language, and other workloads running on the hub.
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Raspberry Pi, x86-64 computer, container, or virtual machine
Home Assistant lists Raspberry Pi, Odroid, x86-64 computers, containers, and virtual machines as installation paths. A Raspberry Pi or existing mini PC can reduce hardware cost, while a more capable x86-64 system gives Whisper more headroom. These alternatives require more decisions about operating-system installation, updates, audio hardware, and reliability than a dedicated hub.
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How to build a fully local Assist setup
The labels and screens can change between Home Assistant releases, but the required sequence is stable. Keep the processing choices local at every stage.
- Choose and install a Home Assistant host. Use Home Assistant OS on a supported hub, Raspberry Pi, Odroid, or x86-64 computer, or use a documented container or virtual-machine installation. Select hardware with enough capacity for the speech model you plan to run.
- Provide a listening and speaking endpoint. Use the Home Assistant phone app, a Voice Preview Edition, or another voice-activated device that can connect to Assist. A host without a microphone and speaker cannot function as a conversational endpoint by itself.
- Select a local speech-to-text engine. Choose Speech-to-Phrase for its narrower, home-control vocabulary or Whisper when broader transcription is worth the additional processing demand. Confirm that your language is supported by the selected engine.
- Install a local text-to-speech engine. Use Piper where its language and voice support meet your needs. Test the response voice before deploying the system in rooms where intelligibility matters.
- Create a local Assist pipeline. In the voice-assistant configuration, pair the listening endpoint with the local speech-to-text engine, Home Assistant’s local intent handling, and Piper for speech output. Do not select a hosted speech service if the requirement is that voice data stays inside your home.
- Test representative commands. Start with the phrases covered by your model, such as turning a light on or activating a scene. Then test accents, background noise, longer sentences, and unsupported requests. A successful simple command does not prove that broad transcription works.
- Audit every integration. A local voice pipeline can still call an external weather, music, camera, automation, or remote-access service. Review each integration’s data path and terms before describing the whole installation as cloud-free.
- Use the microphone control when privacy requires silence. On the Voice Preview Edition, use the physical switch to cut microphone power. For other endpoints, use their documented hardware or software mute control and verify that the indicator reflects the muted state.
What to do when recognition is slow or inaccurate
- If common home-control phrases work but free-form speech does not, the limitation is likely Speech-to-Phrase’s close-ended design rather than a microphone fault.
- If Whisper transcribes correctly but responds slowly, move the workload to a stronger host or use a smaller model where supported.
- If a language is missing from focused local support, use a fully local speech-to-text model that supports that language and size the host accordingly.
- If the assistant answers with the wrong pronunciation or voice, check Piper’s language and voice availability; voice quality is not uniform across languages.
- If audio leaves the home unexpectedly, inspect the selected voice pipeline and integrations for an enabled cloud service. Home Assistant Cloud, for example, sends audio to Nabu Casa servers for speech processing when its cloud voice pipeline is used.
Apple Siri and HomePod: on-device when possible, not local-only
Apple says Siri processes audio on the user’s device whenever possible. Its settings indicate whether a spoken request is processed on-device or sent to Apple, and Apple notes that some features require real-time server input. Apple also says audio recordings are not retained by default for Siri and Dictation; users can opt in to audio storage and review. Those statements depend on the device, feature, and settings involved.
“For capable devices, the audio of user requests is processed entirely on device using the Neural Engine, unless a user chooses to share it with Apple.”
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This is Apple’s statement from January 8, 2025. Apple also says requests that need larger models may use Private Cloud Compute, where user data is not stored or accessible to Apple according to the company’s description. That is a privacy design claim from Apple, not an independent finding that every Siri request is local.
HomePod’s activation and local history
Apple’s HomePod privacy and security guidance states: “Nothing you say is sent to Apple servers until HomePod recognizes ‘Hey Siri’ or ‘Siri,’ or until you touch and hold the top of HomePod before a request.” This describes the pre-activation behavior. Once activated, Siri may still use server processing for features that need it.
Apple says a history of Siri interactions is stored on HomePod and can be deleted through the Home app. Therefore, “nothing is stored” is not an accurate blanket description of HomePod. An Apple household that accepts a mixed on-device/server model and local interaction history may find Siri a reasonable privacy-conscious choice; someone requiring every command to remain on local hardware should choose a configured local Assist pipeline instead.
Apple says information sent for Siri uses random identifiers rather than the Apple Account, according to its privacy explanation. That reduces direct account association in the described process, but it does not change the distinction between local processing and server processing.
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Google’s documentation says Assistant leaves standby after detecting activation, records what it hears, and sends the audio to Google servers to fulfill the request. The recording may include a few seconds before activation. Google says audio recordings are not saved on its servers by default unless the user changes the voice and audio activity setting.
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That default is a retention choice, not a local-processing guarantee. The request still travels to Google for fulfillment. Google also says query text and related information may be used to improve products, and that human reviewers, including third parties, may process query text and related information under the safeguards it describes.
Google’s Nest guidance says Assistant interaction data is stored on Google servers, while some Nest devices and services store and process some data locally. It documents activity review and deletion controls and warns that third-party services have their own privacy terms. “Some data” on “some devices” cannot be expanded into a claim that all Assistant speech processing is local.
Side-by-side comparison
| Option | What the official documentation supports | Important limitation | Best fit |
|---|---|---|---|
| Home Assistant Assist | Can run on home hardware with local speech-to-text, local interpretation, and local speech synthesis. | Requires a configured pipeline, supported language, listening device, and adequate host performance. Speech-to-Phrase covers a narrower command set; Whisper demands more computing power. | People willing to configure a smart-home platform for local control. |
| Home Assistant Voice Preview Edition | Dedicated Assist hardware with local and cloud choices and a physical microphone-mute switch. | The device does not guarantee local processing. Focused local speech is limited to supported languages and predefined home-control phrases; broader local speech needs a stronger host. | People who want a purpose-built endpoint and will configure Home Assistant. |
| Apple Siri and HomePod | Some requests are processed on-device; capable devices may process request audio on-device. HomePod waits for recognized activation or manual activation before sending speech to Apple servers. | Some features need server input, and Apple says HomePod stores Siri interaction history locally. | Apple households seeking a privacy-conscious mixed local/server assistant. |
| Google Assistant and Nest | Google says recordings are not retained on its servers by default; selected Nest devices process some data locally. | Activated requests are sent to Google servers. Default audio non-retention is not local command processing. | People prioritizing convenience and familiar integrations over a strict local-only requirement. |
How to choose without relying on a vague privacy score
Use the following decision sequence instead of assigning one overall “privacy” number.
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- Require zero server processing? Choose Home Assistant Assist with local speech-to-text, local intent handling, and local text-to-speech. Siri and Google Assistant do not meet this requirement for every request.
- Need broad, conversational transcription? Plan for Whisper or another fully local model supported by your language, and budget for a stronger host than a narrow command model requires.
- Only need common home controls? Speech-to-Phrase may be sufficient and can reduce hardware demands, provided its supported phrases cover your routines.
- Want the simplest endpoint? The Voice Preview Edition supplies dedicated microphones, speakers, and a hardware mute switch, but you still configure the local pipeline and host.
- Already use Apple devices? Siri may provide substantial on-device handling and default non-retention of audio recordings, but check which features use servers and remember HomePod’s local interaction history.
- Already use Google smart-home products? Google’s controls can limit audio retention and expose activity for review or deletion, but activated requests still go to Google servers.
- Need a system that remains local when the internet fails? Test the exact commands, automations, and integrations while the internet connection is unavailable. A local speech engine can work offline while a connected service still fails.
Privacy checks before calling a setup “cloud-free”
- Confirm the selected speech-to-text engine is local, not merely configured to delete recordings after cloud processing.
- Confirm text-to-speech is local and that spoken responses are not generated by a hosted service.
- Check whether the assistant stores transcripts, interaction logs, or cached audio on the host or endpoint.
- Review integrations individually; a local command can trigger a cloud API after recognition.
- Verify language support and model behavior for the language your household actually speaks.
- Test with the internet disconnected so you know which functions truly remain available.
- Use physical microphone muting when a room should not listen, and understand whether the switch cuts microphone power or only disables software recognition.
- Review third-party privacy terms for services connected to the assistant.
Bottom line
For a strict requirement that voice commands be processed at home and not retained by a cloud provider, configure Home Assistant Assist with local speech-to-text, local intent handling, and Piper for local speech output. The Voice Preview Edition is a convenient endpoint, not a guarantee; language, model choice, host performance, and integrations determine whether the complete system stays local. Siri offers on-device processing for some requests but remains a mixed local/server service and keeps HomePod interaction history. Google Assistant’s default deletion of audio recordings does not change the fact that activated requests are sent to Google servers.
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