title: On-device Voice Recognition Intro - Picovoice Docs
source: https://picovoice.ai/docs/
author:
- "[[Picovoice]]"
published:
created: 2025-05-06
description: Learn how to design, train and deploy on-device voice AI with modern SDKs and APIs for speech-to-text, wake word, NLU, phonetic search and VAD software for free
tags:
- Software
Picovoice is the developer-first platform for building voice AI and LLM-powered products on your terms. You can use Picovoice for keyword spotting, voice commands, voice user interfaces (VUI), phonetic search, automatic speech recognition (ASR), speech-to-text (STT), voice activity detection (VAD), noise suppression, speech enhancement, speaker diarization, speaker recognition, text-to-speech (TTS), and LLM intelligence.
Picovoice is free for non-commercial personal projects. No credit card is required.
Free Trial enables enterprise developers and teams to evaluate Picovoice before committing to a paid plan. No auto-renewal, no credit card is required.
Picovoice Console is the cloud-based platform for training custom speech models, all within your web browser. No machine learning skills are required. Describe what you need with text and export trained models. Picovoice Console supports training branded wake words, context-aware voice commands, and custom ASR models. You can find ready-to-use compressed Large Language Models on Picovoice Console, and download the best fit for your application.
Exported models from Picovoice Console can run on Picovoice SDKs. Picovoice SDKs run on many platforms and support most frameworks. The Picovoice Console and SDKs enable you to design, build and iterate fast.
Start for free by taking advantage of Picovoice's free resources. Deploy without having to maintain complex cloud infrastructure. Avoid hefty API-based pricing, limitations, and control imposed by big tech.
Picovoice picoLLM Inference is the only cross-platform local LLM inference engine that runs X-bit quantized LLMs across Linux, macOS, Windows, Android, iOS, Chrome, Safari, Edge, Firefox, Raspberry Pi, or other embedded platforms, supporting both CPU and GPU, offering LLM Intelligence without sacrificing performance or privacy.
Picovoice Leopard Speech-to-Text is the only on-device ASR engine that matches and exceeds cloud-level accuracy with minimal resource requirements. You can use Picovoice Console to train models that understand the custom vocabulary that matters to your use case.
Picovoice Cheetah Streaming Speech-to-Text is the only on-device real-time ASR engine that matches and exceeds cloud-level accuracy, enabling real-time transcriptions with fast and guaranteed response time.
Picovoice Orca Streaming Text-to-Speech offers guaranteed response time by eliminating network latency, enabling human-like fast interactions. Orca Text-to-Speech can read streaming LLM responses as they emerge for an even faster response time.
Picovoice Koala Noise Suppression is the only high-quality and cross-platform on-device noise suppression engine.
Picovoice Eagle Speaker Recognition is the only enterprise-grade and freely-available speaker recognition engine.
Picovoice Falcon Speaker Diarization is the most efficient and only cross-platform Speaker Diarization software that works with any Speech-to-Text engine.
Picovoice Porcupine Wake Word is the wake word detection engine. It detects utterances of given wake phrases. You can train custom wake words using Picovoice Console and then run the exported wake word models on the Picovoice SDK.
Picovoice Rhino Speech-to-Intent engine directly infers users' intent from spoken commands within a given domain of interest (context). You can design and train custom contexts for your product using Picovoice Console.
Picovoice Cobra Voice Activity Detector engine detects the presence of speech in a stream of audio in real time.
Free Plan account owners can report bugs by creating a GitHub issue under the relevant repository. Paid plan account owners can reach out to their Picovoice contacts. If you do not have a paid plan yet, you can purchase Enterprise Support and get your technical questions answered.
Please refer to our pricing page to learn about our business model.