An honest comparison with existing voice control and dictation tools.
| Samsara | Dragon Professional | Talon Voice | Windows Voice Access | OpenWhispr | |
|---|---|---|---|---|---|
| Price | Free & open source | Contact sales / reseller pricing | Free; optional $25/mo Patreon beta | Included with Windows 11 22H2+ | Free local; cloud plans from $6.67/user/mo annually |
| Platform | Windows | Windows 10/11 | Windows 8+, macOS 10.13+, Linux/X11 | Windows 11 22H2+ | Windows, macOS, Linux |
| Works offline | ✓ Core local; network features optional | Local recognition; internet for download and activation | ✓ Local recognition available | ✓ On-device after speech-model setup | Local models; optional cloud/BYOK |
| Speech engine | Whisper (faster-whisper / CTranslate2) | Nuance Deep Learning; adapts to speaker | Conformer; beta offers additional hybrid engines | Microsoft on-device speech recognition | Whisper/whisper.cpp + NVIDIA Parakeet; optional cloud STT |
| Voice commands | Extensive, built-in | Built-in control + custom multi-step macros | Extensive through user/community scripts | Windows, app, mouse, keyboard, browser and text control | Dictation + AI agent/actions; not general desktop control |
| Custom commands | Python plugins | Voice macros | .talon files + Python | Voice shortcuts with up to 8 supported actions | Custom AI actions/prompts; no desktop macros documented |
| Dictation | Hold, streaming, and buffered HANDS FREE | Real-time; adapts while dictating | Script-driven dictation/mixed mode; beta Whisper hybrid | Real-time | AI-cleaned dictation |
| Training required | None | No initial profile training; adapts while dictating | No profile training documented; script setup required | None | None |
| Wake word | ✓ Configurable (OpenWakeWord or transcript fallback) | "Wake Up" / "Listen to Me" from sleep mode | Not documented | "Voice access wake up" / "Unmute" | No always-listening wake word documented; uses hotkeys |
| AI assistant | ✓ Ava (local or cloud LLM) | No general-purpose assistant built in | No general-purpose assistant built in | No general-purpose assistant built into Voice Access | ✓ Named local or cloud AI agent |
| Text selection | Voice markers | Voice editing | Cursor/selection commands | Direct editing commands + number/grid overlays | ✗ |
| Eye tracking | ✗ | ✗ | ✓ Supported Tobii devices | ✗ | ✗ |
| GPU acceleration | ✓ CUDA optional | Not documented | N/A | N/A | CUDA; local LLM may use Vulkan/Metal |
| Privacy | No telemetry; optional network paths disclosed | Local recognition; online activation; optional enterprise management | Not clearly documented by vendor | On-device recognition; voice data not sent to Microsoft | Local audio stays local; diagnostics opt-in; cloud/sync optional |
| Open source | ✓ AGPL-3.0 | ✗ Proprietary | Core app not published; community/user scripts are open | ✗ Proprietary | ✓ |
| Best for | Accessibility + desktop control | Professional dictation | Developers / power users | General Windows users | Fast dictation |
Checked against vendor documentation in July 2026. Products change; follow the vendor links before making a purchase or deployment decision. "Not documented" means the vendor sources reviewed did not establish the claim—it does not prove a feature is impossible.
Dragon Professional · Talon Voice · Windows Voice Access · OpenWhispr
Samsara uses OpenAI's Whisper speech recognition model, running locally through
faster-whisper — a CTranslate2-optimized build. CTranslate2 is a C++
inference engine. The standard release runs on CPU; the optional, separately downloaded CUDA runtime
can substantially reduce transcription latency on a compatible NVIDIA GPU. Actual speed depends on the
model, processor or GPU, audio length, and settings.
Wake-word profiles can use OpenWakeWord ONNX models. Profiles without a compatible model
can use the Whisper transcript fallback, so resource use depends on the configured profile and mode.
Voice activity detection uses Silero VAD, a lightweight neural network that classifies
audio as speech or silence before Whisper runs. This prevents wasted cycles on background noise.
The AI assistant (Ava) runs on local Ollama models or optionally routes to cloud providers
(DeepSeek, OpenAI, Anthropic, OpenRouter) when the user explicitly enables cloud mode and supplies a key.