• Desktop & Server: Linux, Windows & macOS
• Mobile: Android & iOS
• Web Browsers: Chrome, Safari, Edge and Firefox
• Single Board Computers: Raspberry Pi
• Cloud Providers: AWS, Azure, Google, IBM, Oracle, and others.

Yes, You can run all Picovoice voice AI engines (Speech-to-Text, Streaming Speech-to-Text, Noise Suppression, Speaker Recognition, Speaker Diarization, Text-to-Speech, Wake Word, Speech-to-Intent, Voice Activity Detection, Speech-to-Index) in the cloud.

Yes, You can run all Picovoice voice AI engines (Speech-to-Text, Streaming Speech-to-Text, Noise Suppression, Speaker Recognition, Speaker Diarization, Text-to-Speech, Wake Word, Speech-to-Intent, Voice Activity Detection, Speech-to-Index) on-prem.

Yes, You can run all Picovoice voice AI engines (Speech-to-Text, Streaming Speech-to-Text, Noise Suppression, Speaker Recognition, Speaker Diarization, Text-to-Speech, Wake Word, Speech-to-Intent, Voice Activity Detection, Speech-to-Index) in the serverless.

Yes, You can run all Picovoice voice AI engines (Speech-to-Text, Streaming Speech-to-Text, Noise Suppression, Speaker Recognition, Speaker Diarization, Text-to-Speech, Wake Word, Speech-to-Intent, Voice Activity Detection, Speech-to-Index) on mobile devices.

Yes, You can run all Picovoice voice AI engines (Speech-to-Text, Streaming Speech-to-Text, Noise Suppression, Speaker Recognition, Speaker Diarization, Text-to-Speech, Wake Word, Speech-to-Intent, Voice Activity Detection, Speech-to-Index) within web browsers.

Yes, You can run all Picovoice voice AI engines (Speech-to-Text, Streaming Speech-to-Text, Noise Suppression, Speaker Recognition, Speaker Diarization, Text-to-Speech, Wake Word, Speech-to-Intent, Voice Activity Detection, Speech-to-Index) on embedded devices.

No, Picovoice voice AI engines do not require a GPU.

Picovoice on-device Voice AI platform supports all modern SDKs. Android, C, .NET Flutter, iOS, Java, Nodejs, Python, React, React Native, Rust, Unity, Web. If you need another SDK, you can check our open-source SDKs and build it yourself or contact Picovoice Consulting. Picovoice Consulting experts can create a private library for the SDK of your choice and maintain it.

Picovoice uses AccessKey, hence internet connectivity, to be able to offer its services according to your plan limits. Picovoice engines call home servers to validate the AccessKey and check your plan limits.

Picovoice tracks usage in the amount of data processed -in hours or characters, or the number of users depending on the engines and project setup.

Your usage automatically resets every 30 days.

Picovoice tracks the usage accumulated in the last 30 days. You can see the real-time consumption on your Picovoice Console Profile.

Downloaded models are counted toward your monthly model training usage. Once you hit download, your training usage will increase.

Picovoice tracks the training usage accumulated in the last 30 days. You can see the total number of models you trained in the last 30 days on your Picovoice Console Profile.

Yes, you can use Picovoice Voice AI engines for research, non-commercial, and commercial purposes as long as you are within your plan limits and compliant with the Picovoice Terms of Use.

Picovoice voice AI SDKs, voice recorders, and benchmarks are open-source and free to use.

To enable, data-driven decision-making and communicate its engines' accuracy, Picovoice publishes open-source benchmarks for each engine. You can reproduce them or run them with your data.

• Open-source Natural Language Understanding Benchmark
• Open-source Noise Suppression Benchmark
• Open-source Speaker Diarization Benchmark
• Open-source Speech-To-Text Benchmark
• Open-source Text-to-Speech Benchmark
• Open-source Voice Activity Detection Benchmark
• Open-source Voice Search Benchmark
• Open-source Wake Word Benchmark

Picovoice researchers continuously improve techniques and frameworks used to train algorithms. Picovoice applies transfer learning, hardware-aware training, and neural compression principles, resulting in efficient models competing with cloud-dependent AI models.

It depends on your tech stack and design. Given the number of engines Picovoice offers and the platforms it supports, it's hard to communicate one number. We encourage developers to do their own tests and evaluations in their real environments.

Yes, Picovoice technology works well across accents and dialects. The best way to learn about it is to test Picovoice engines with your dataset. Picovoice offers a Free Plan that allows enterprises to evaluate and become familiar with the technology, as well as a Foundation Plan to run thorough tests before committing to an Enterprise Plan.

Picovoice aims to provide realistic benchmarks by leveraging various accents and noise. Yet, we encourage developers to test the engines in their real-world environments.

Picovoice engines expect audio with a 16kHz sampling rate. PSTN networks usually sample at 8kHz. It is possible to upsample but the frequency content above 4kHz is gone, and performance will be suboptimal. It is possible to train acoustic models for telephony applications for enterprise customers. Engage with Picovoice Consulting to find the best solution that works for you.

Picovoice software expects a 16kHz sampling rate. You will need to downsample. Typically, operating systems or sound cards (Audio codecs) provide such functionality; otherwise, you will need to implement it.

Picovoice software expects a 16kHz sampling rate, as it strikes a balance between quality and file size, used in voice commands and speech recognition technologies. At 16kHz, audio files are small enough to store and transmit while offering reasonable audio quality. Secondly, the human voice's most critical frequencies lie between 300Hz and 3400Hz. The Nyquist-Shannon sampling theorem states that a sampling rate of at least twice the highest frequency is required for accurate signal representation. 16kHz is more than twice 3400Hz and sufficient for processing the human voice. That's why 16kHz has become a standard in applications using human speech and voice.

There are several factors that affect the performance of voice AI engines: quality of audio data, environment - noise, echo, reverberation, tech stack, and design.

You can leverage the self-service Picovoice Console to fine-tune voice AI models or engage with Picovoice Consulting for further improvement.

See how to fine-tune models on the Picovoice Console:

• Custom Wake Words
• Custom Voice Commands
• Custom Speech-to-Text

Custom speech recognition models are created for specific tasks, specific use cases, and sometimes for specific environments. General-purpose models are jacks-of-all-trades and masters-of-none. For example, if you need a medical dictation app, you need a fine-tuned speech-to-text to be able to capture the jargon correctly. If you're building a sales enablement app, just like you train your salesforce to learn about your product names, you should adapt the general speech recognition model accordingly.

You can engage with Picovoice Consulting to discuss the opportunity.

Picovoice voice AI engines support the most popular and widely-used hardware and software out-of-the-box - from web, mobile, desktop, and on-prem to private cloud. However, there may be certain chipsets we do not currently support. (There are so many of them, yet only so much time and money, making it impossible to support everything.) You can engage with Picovoice Consulting and get any Picovoice voice AI engine ported to the platform of your choice.

Picovoice voice AI engines support the most popular and widely used SDKs. If you need another SDK, you can check our open-source SDKs and build it yourself or contact Picovoice Consulting. Picovoice Consulting experts can create a public or private library for the SDK of your choice and maintain it.

Picovoice engines have a lexicon of hundreds of thousands of words in their lexicons. However, there might be some special words we missed. You can reach out to your Picovoice contacts when you become a Picovoice Enterprise Plan customer to get a new word added to the lexicon.

You can create a GitHub issue under the relevant repository/demo.

Enterprises face several challenges while building PoCs. Finding a talent experienced in machine learning is one of the biggest challenges to start with. We learned this the hard way, and experience it every day. On top of it, executives and clients may have unrealistic deadlines.

Experts at Picovoice Consulting help enterprises build PoCs, develop their AI strategy, and work with them hand-in-hand offering the guidance they need.

Picovoice voice AI engines process data in your environment, whether it's public or private cloud, on-prem, web, mobile, desktop, or embedded.

Picovoice is private by design and has no access to user data. Thus, Picovoice doesn't retain user data as it never tracks or stores them in the first place.

Yes. Enterprises using Picovoice don't need to share their user data with Picovoice or any other 3rd party to run voice AI models, making Picovoice voice AI platform intrinsically HIPAA-compliant.

Yes. Enterprises using Picovoice don't need to share their user data with Picovoice or any other 3rd party to run voice AI models, making Picovoice voice AI platform intrinsically GDPR-compliant.

Yes. Enterprises using Picovoice don't need to share their user data with Picovoice or any other 3rd party to run voice AI models, making Picovoice voice AI platform intrinsically CCPA-compliant.

Yes, you can use voice AI with local LLMs and create private, accurate, and reliable AI agents. You can find examples of voice AI agents running across Linux, macOS, Windows, Android, iOS, Chrome, Safari, Edge, Firefox, Raspberry Pi on the picoLLM Inference platform page.

The answer is “it depends”. Voice AI is complex technology and building products for production requires diligent work. It depends on your use case, other tools, and the tech stack used, along with hardware and software choice. Given the variables, it can be challenging. You can experiment different scenarios leveraging Picovoice's Free resources or engage with experts from Picovoice Consulting to find the best approach to deploying language models for production.

Yes! Picovoice engines are modular and work with other Picovoice products or competitive products. Check Picovoice Blog or GitHub to find more information, tutorials, and demos.

Picovoice currently supports eight languages: English, French, German, Italian, Japanese, Korean, Portuguese, and Spanish.

Please visit the product page to check the public availability of languages for the engines you’re interested in. If you have a commercial opportunity requiring another language, you can engage with Picovoice Consulting once you become an Enterprise Plan customer.

Picovoice currently supports eight languages: English, French, German, Italian, Japanese, Korean, Portuguese, and Spanish.

Please check the product page if you’re looking for engine-specific information. If you have an opportunity requiring another language, engage with Picovoice Consulting to get a custom model trained for you!