On-device natural language understanding
Customizable universal hotwords
On-device automatic speech recognition
Custom Intents
Build and train custom intents
Built-in Intents
Leverage our large library of pre-trained intents
Deploy on-device and operate offline
Cross Platform
Use your voice assistant across popular platforms
Open Source
We are committed to opening Snips over time
Already in English, French and Spanish

How Snips Stacks Up

On-device Natural Language Understanding

Our NLU engine performs better than competitors, while being the only one to run on-device. Our intents are trained using a unique data-generation technique to augment training sets in with high-quality data. See here our full comparison to API.ai, Alexa, Wit.ai and Luis.

On-device Automatic Speech Recognition

Snips comes with a deep-learning based, high-performing, customizable Speech Recognition engine. Despite running fully on-device, our ASR + NLU solution significantly outperforms cloud-based ones such as Google Cloud Speech (ASR) + API.ai (NLU) .

100% On-device: Private, Fast, Cost-efficient and Resilient

Our end-to-end processing pipeline runs fully on device, and includes hotword detection, automatic speech recognition, natural language understanding and dialog. Building it from the ground up in Rust means cross-platform deployment with exceptional response times! 

Our Recent Publications

Benchmarking NLU systems

We have recently open-sourced a benchmark datasets of over 16K queries on which we benchmarked the main actors of the field: Google’s API.ai;, Facebook Wit.ai, Microsoft’s Luis, and Snips’ NLU.

Read more

How we made Tensorflow run on a Raspberry Pi

We open-sourced a set of useful scripts to simplify the TensorFlow cross-building process. We made them all available on github.

Read more
See more on Github

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