
MyVoice AI
Real-time Voice Biometrics and Neural Synthesis for Secure Identity Management

Private, offline, and high-performance Edge AI for on-device voice recognition.

Picovoice is a leading Edge AI provider specializing in high-efficiency voice processing engines that run entirely on-device, eliminating the need for cloud connectivity and ensuring total data privacy. Its architecture is built around highly optimized neural networks capable of running on everything from microcontrollers (ARM Cortex-M) to web browsers and high-end servers. By 2026, Picovoice has positioned itself as the industry standard for privacy-sensitive industries like healthcare, defense, and smart home automation. The platform provides a comprehensive suite of engines: Porcupine (Wake Word), Rhino (Speech-to-Intent), Leopard (STT), Cheetah (Streaming STT), and Orca (TTS). This local-first approach results in zero latency, zero bandwidth costs, and inherent compliance with data sovereignty regulations. The developer experience is centered around the Picovoice Console, a low-code environment where users can train custom models for specific vocabularies or wake words in minutes, then export them as platform-agnostic binary files for cross-platform deployment.
Picovoice is a leading Edge AI provider specializing in high-efficiency voice processing engines that run entirely on-device, eliminating the need for cloud connectivity and ensuring total data privacy.
Explore all tools that specialize in offline processing. This domain focus ensures Picovoice delivers optimized results for this specific requirement.
Highly accurate wake word engine utilizing deep learning to detect custom keywords in real-time with minimal CPU overhead.
Directly extracts intent from spoken commands without requiring a full STT pass, reducing latency and complexity.
On-device transcription engine providing word-level confidence scores and timestamps.
On-device streaming text-to-speech that synthesizes natural-sounding speech from text.
A single codebase allows for deployment across Web, Mobile, Desktop, and Microcontrollers.
Enables biometric speaker identification and verification on-device.
AI-based audio enhancement that removes background noise in real-time.
Create an account on the Picovoice Console at console.picovoice.ai
Retrieve your AccessKey from the dashboard for authentication.
Select the desired engine (e.g., Porcupine for Wake Words).
Train a custom model or select a pre-trained one for your target language.
Select your target platform (Web, Android, iOS, Linux, or Embedded).
Download the platform-specific SDK via npm, pip, or Maven.
Initialize the engine in your code using the AccessKey and model file.
Pass audio frames from your microphone or file to the engine processing loop.
Implement callback functions to handle detection or inference results.
Deploy your application with no cloud dependencies or API calls required.
All Set
Ready to go
Verified feedback from other users.
"Developers praise the low barrier to entry and the absolute privacy of the system. Some users find the pricing for the Developer tier steep for small-scale commercial projects."
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