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Repair Windows errors before they cause bigger problemsFix Now →Scan for outdated or missing drivers - takes under a minuteDriver Scan →Home Assistant Assist is the clearest fit if you want voice commands processed entirely in your home. With a local speech-to-text engine, local intent handling and local text-to-speech, your spoken command can stay on your network. Apple Siri is only a qualified alternative: capable devices process some requests on-device, but other features use Apple servers, and HomePod keeps a local interaction history. Google Assistant is not a local-processing option for activated requests; Google sends those requests to its servers even though audio recordings are not saved by default.
“Without cloud storage” is not the same as “without cloud processing.” A service may process audio remotely and delete the recording afterward. Evaluate both where a request is processed and what audio, transcripts or history are retained.
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What “local” and “without cloud storage” actually mean
Voice privacy has four separate questions. Treating them as one produces misleading recommendations.
Where is the command processed?
End-to-end local processing means the microphone capture, speech recognition, interpretation and spoken response are handled by equipment you control. A wake word detected on a speaker does not make the following command local if the recognized audio is uploaded for processing.
#1 Best Overall
- Designed for Home Assistant Voice & Music Workflows: Preloaded with Home Assistant Voice Assistant and Music Assistant. Functions as both a voice input terminal and an audio playback endpoint.
- Dual Microphones for Voice Capture: Built with dual digital microphones for wake word or button-activated voice capture. Audio is streamed to the Home Assistant voice pipeline.
- Integrated 3W Speaker for Direct Playback: The built-in 3W/4Ω speaker supports TTS playback, Music Assistant streaming, and system audio without external speakers.
- Linux-Based Local Operation: Runs a lightweight Linux system on a quad-core ARM A53 CPU with 256MB RAM and 512MB flash for local audio processing.
- Development & Debugging Capabilities: Supports firmware flashing, and also provides access to live logs, on-device editing—suitable for routine development or issue diagnosis.
Is anything retained in the cloud?
Cloud retention is a storage policy, not a processing location. A remote service can receive an audio clip, return an answer and retain nothing. That is different from a system that never sends the clip away. Retention may also differ between raw audio, transcripts, diagnostic data and account activity.
What happens before activation?
Many assistants keep a small on-device process listening for an activation phrase. That normally means only wake-word detection is local. The privacy boundary changes once the device believes it has heard the activation phrase.
Is history kept on the device?
“No cloud storage” does not promise that no history exists anywhere. Apple says HomePod stores a history of Siri interactions on the speaker, even though its other controls address server handling and audio retention separately.
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Best options at a glance
| Option | What 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 configuration, a supported language, a listening device and enough host performance. Speech-to-Phrase handles a narrower set of home-control commands; Whisper is broader but more demanding. | People willing to configure a smart-home platform for a genuinely local pipeline. |
| Home Assistant Voice Preview Edition | Dedicated Assist hardware with local and cloud processing choices, a physical microphone mute switch and local-processing modes. | The device does not guarantee cloud-free operation. Focused local speech supports only selected languages and predefined home-control phrases; full local speech needs a stronger host. | Readers who want a purpose-built endpoint and accept Home Assistant setup. |
| Apple Siri and HomePod | Apple says Siri processes requests on-device whenever possible. HomePod does not send speech to Apple servers until it recognizes an activation phrase or receives manual activation. | Some features require server input. Apple says HomePod stores Siri interaction history locally, so “nothing is stored” is too broad. | Existing Apple households that want privacy-conscious defaults without requiring an entirely local system. |
| Google Assistant and Nest | Google says audio recordings are not saved on its servers by default, and selected Nest devices store and process some data locally. | Activated requests are sent to Google servers to fulfill them. Default non-retention is not local command processing. | People prioritizing convenience and integrations over a strict local-only pipeline. |
Compare systems by processing location, audio and transcript retention, command scope, language support, host performance, setup effort, device compatibility, microphone controls and optional services that can introduce cloud processing. A generic “privacy score” hides the decisions that matter.
Home Assistant Assist: the strongest fully local choice
Home Assistant documents a complete local path: a microphone captures speech, a local speech-to-text engine converts it to text, Home Assistant interprets the request, and a local text-to-speech engine speaks the answer. In its fully local guide, Home Assistant describes the result this way: “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 local pipeline, not to optional cloud services or every integration you might connect.
What the local pipeline contains
- Listening endpoint: the Home Assistant phone app or a voice-activated device supplies the microphone and speaker.
- Speech-to-text (STT): Home Assistant documents Speech-to-Phrase and Whisper as local choices.
- Intent handling: Home Assistant interprets the transcribed request and calls the relevant entities or automations.
- Text-to-speech (TTS): Piper is the local speech engine described in the setup guide.
- Home Assistant host: Home Assistant OS runs the components; the host’s processor and memory determine whether recognition is responsive.
Speech-to-Phrase versus Whisper
| Engine | Command coverage | Hardware profile | Trade-off |
|---|---|---|---|
| Speech-to-Phrase | Close-ended recognition for a subset of common home-control commands. | Designed to run on lower-powered hardware for supported phrases. | Fast and efficient, but it is not a general dictation model. |
| Whisper | Broader transcription that can handle more varied speech. | Speed depends heavily on the Home Assistant host. | More flexible, but slower or impractical on underpowered hardware. |
Language support varies. Speech quality and recognition support are not uniform across languages, so check the current Home Assistant documentation for the language you intend to use rather than assuming that an English setup translates directly.
Hardware you can use
Home Assistant lists Home Assistant Green as a plug-and-play hub. Its software can also run on a Raspberry Pi, Odroid, an x86-64 computer, a container or a virtual machine. A hub is not automatically a voice assistant: you still need a microphone endpoint, local STT and TTS components, and enough processing capacity for the selected model.
Do these 3 things before closing this tab:
1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errorsFor languages without focused local support, the Voice Preview Edition product documentation recommends at least an Intel N100 or equivalent for the described Whisper Base setup. That is a product-specific recommendation, not a universal minimum for every model, language or speech workload.
How to set up a fully local Home Assistant voice pipeline
The exact menu names can change between releases, but the documented sequence is consistent: install Home Assistant, add local speech engines, create a voice pipeline and assign it to an endpoint.
- Install or update Home Assistant OS. Use a supported host such as Home Assistant Green, Raspberry Pi, Odroid or an x86-64 computer. Containers and virtual machines are also listed installation paths, but they add networking and device-passthrough work.
- Provide a listening device. Install the Home Assistant phone app or connect a compatible voice device. Confirm that the microphone and speaker are available to Home Assistant.
- Add local speech-to-text. Choose Speech-to-Phrase for supported, predefined home-control phrases or Whisper for broader transcription. Keep the model on the Home Assistant host rather than selecting a hosted speech service.
- Add local text-to-speech. Configure Piper as the local TTS engine and select a voice supported for your language.
- Create a voice pipeline. In Home Assistant’s voice-assistant settings, select the local STT engine, Home Assistant conversation processing and Piper for TTS. Do not select an optional cloud voice service if your requirement is that audio stay inside the home.
- Assign the pipeline to the endpoint. Set the phone app or voice device to use the local pipeline, then test a simple command such as turning a light on or reporting a sensor state.
- Inspect integrations. A local voice pipeline can still trigger a cloud-connected appliance or service. Review each integration and automation separately if your goal is to keep the entire command path local.
- Test offline behavior. Temporarily block the host’s internet access or disconnect the WAN while leaving the local network active. Local commands should still be recognized and executed, subject to the device and integration being local. Restore connectivity after the test and check logs for any component that failed.
Common setup failures
- Recognition is too slow: Whisper may exceed the host’s practical capacity. Move the pipeline to a faster x86-64 system or use Speech-to-Phrase for supported commands.
- A language is unavailable: Focused local processing covers a narrower language set. Use a fully local STT model that supports your language and size the host accordingly.
- The command is recognized but nothing happens: Check that the target entity is exposed to Assist and that the automation or integration itself does not require a remote service.
- The assistant speaks but sends data away: Recheck both STT and TTS providers. Selecting a cloud voice component at either stage breaks the local-only requirement.
- Audio quality is poor: Improve microphone placement, reduce room noise and verify the endpoint’s input level before changing recognition models.
Home Assistant Voice Preview Edition: dedicated hardware, not an automatic privacy guarantee
The Voice Preview Edition is purpose-built hardware for Assist. It offers a local or cloud processing choice and includes a physical switch that cuts microphone power. That switch is a hardware mute control; it does not prove that the rest of the smart-home system is offline or that every selected voice component is local.
Rank #3
Focused local processing
Home Assistant says focused local processing can run on lower-powered hardware for common predefined phrases. This mode is limited to supported languages and a defined set of home-control commands. It is a good fit for actions such as controlling lights, switches or scenes when your language and phrase set are covered.
Full local processing
Full local speech recognition is broader but needs enough computing power for usable speed and accuracy. The endpoint can send work to a more capable Home Assistant host; the speaker itself is not the entire processing system. For a language without focused local support, plan around a fully local model such as Whisper and a host meeting the model’s requirements.
What to verify before buying
- Your language is supported by the local mode you intend to use.
- Your Home Assistant host can run the selected STT model at an acceptable speed.
- You understand which features are local and which optional services send audio to a provider.
- The physical microphone switch is convenient for muting, but does not replace software and network privacy checks.
Siri and HomePod: privacy-conscious, but not fully local
Apple’s privacy documentation says Siri processes audio on the user’s device whenever possible. Apple also says device settings indicate whether a spoken request is handled on-device or sent to Apple. Some features require real-time server input, so Siri cannot be described as an entirely local assistant across all requests and devices.
Apple’s January 8, 2025 statement says: “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.” The same statement says requests needing larger models may use Private Cloud Compute and that user data is not stored or accessible to Apple in that process. This is Apple’s description of its system, not an independent verification of every request path.
HomePod’s activation boundary
Apple Support’s HomePod privacy and security guide 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 explains the pre-activation boundary, not a promise that every activated request stays local.
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Rank #4
- Fitment For: Designed for Home Assistant Voice Preview Edition, ensuring a secure and stable wall mounting fit.
- Optimized Voice Interaction: Positions your device at a convenient height for better voice control experience.
- Stable Device Support: Provides firm support to keep the device securely positioned during daily use.
- Space Saving Wall Mount: Wall mount holder keeps your smart speaker off desks and counters for a cleaner setup.
- Multi Room Application: Ideal for kitchens, bedrooms, offices, and other smart home locations.
Retention and local history
Apple says audio recordings are not retained by default for Siri and Dictation, unless the user opts in to audio storage and review. Separately, Apple says a history of Siri interactions is stored on HomePod and can be deleted through the Home app. Therefore, “Apple does not store anything” is inaccurate: the relevant controls differ for audio sent to Apple, server-side processing and history kept on the speaker.
Who should choose Siri?
Siri makes sense for an Apple household that values integrated devices and Apple’s on-device processing where available, while accepting that some requests need servers and that HomePod maintains local interaction history. It is not the right choice for a strict requirement that no activated command leave the home.
Google Assistant and Nest: cloud fulfillment with default audio non-retention
Google’s Assistant privacy documentation says the 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.
That default is a retention choice, not local command processing. 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 its safeguards.
What Nest’s local processing claim means
Google’s Nest help documentation says some Nest devices and services store and process some data locally, while Assistant interaction data is stored on Google servers and recordings are not retained by default. “Some data” on “some devices” does not establish that all Assistant speech processing is local. Third-party services connected to Assistant have their own privacy terms.
Who should choose Google Assistant?
Choose it when convenience, broad integrations and familiar device support outweigh the requirement for an entirely local voice path. Do not choose it on the assumption that default deletion makes it equivalent to Home Assistant’s local pipeline.
Quick Recap
How to decide without being misled by privacy labels
- Define the boundary. Decide whether you require no audio leaving the home, no cloud retention, no transcript retention, or simply a hardware mute switch. These are different requirements.
- Map every processing stage. List wake-word detection, STT, intent handling, TTS, automation execution and connected services. Mark each stage local or remote.
- Check language and command scope. A fast local model may support only predefined home-control phrases; a general model may need a more powerful host.
- Check the endpoint and host separately. A dedicated speaker is only the microphone and speaker. The Home Assistant host may perform the expensive recognition work.
- Review retention controls. Look for raw audio, transcripts, interaction history and diagnostic data. A default setting can change, and local history can exist even when cloud audio is not retained.
- Audit integrations. Local recognition does not make a cloud-based light, calendar, search service or third-party action local.
- Test the failure mode. Disconnect internet access and verify which commands still work. Treat any command that stops working as dependent on a remote component.
Bottom line for each reader profile
- Strict no-cloud voice processing: Use Home Assistant Assist with local STT, Home Assistant conversation handling and Piper, then audit integrations.
- Dedicated local voice endpoint: Use the Home Assistant Voice Preview Edition with a properly sized Home Assistant host and the focused or full local mode that matches your language.
- Apple household seeking reduced exposure: Siri and HomePod offer on-device processing for some requests and an activation boundary, but they are not fully local and HomePod stores interaction history.
- Convenience-first household: Google Assistant remains a cloud-fulfilled assistant for activated requests; default audio non-retention does not change that architecture.
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