Embed the world’s #1 AI-powered Voice Technology
Krisp’s AI-powered Audio SDK is integrated into more than 150 million devices and provides a solution for mobile and desktop apps related to audio conferencing, podcasting, streaming, and recording.
Krisp now also offers on-device STT SDKs for our partners requiring accurate, secure and economical speech-to-text transcriptions.
Voice AI Technology
Krisp is the leading developer of advanced voice processing technologies.
Our award winning, Voice AI technologies leverage deep neural networks to achieve an unprecedented level of voice quality enhancements that change the way business and communication is done.
Krisp SDKs are integrated directly into an application’s audio path. All voice processing happens on-device and voice is never processed or stored in the cloud. Krisp SDKs have no server connectivity.
Background Noise Cancellation
Model designed for microphone (outbound/uplink) audio stream. Noise robust for use in contact centers, offices and home environments. Includes de-reverberation to remove room echo. Physical microphone and language independent.
Background Voice Cancellation
Model designed for microphone (outbound/uplink) audio stream to remove other voices near the primary speaker wearing a headset or ear buds. Fixes the contact center cross-talk problem, as well as blocking competing voices in office and at home. No enrollment or training of the user’s voice is required. Background Noise Cancellation included. Language independent.
Inbound Noise Cancellation
Model designed for the speaker (inbound/downlink) audio stream. Noise robust for CCaaS and UCaaS platforms so that customers calling in on mobile or PTSN have their background noise removed so that agents can have clear communications bi-directionally. Physical speaker or headset independent. Language independent. Intelligent pass-through of ringtones.
Accent Localization
Model designed for changing the accent of a contact center agent in real-time from their local accent to that of the customer, improving customer experience while providing a significant ROI. The first model availability is for India-based agents serving North American customers in English. Local accent robust, gender independent, noise robust and microphone/headset independent.
On-Device Transcriptions (STT)
On-device speech-to-text (STT) model designed to transcribe users’ online communications in English in near-real time. Krisp STT is noise and accent robust, translating to top performing WER. No internet connection required, making transcriptions available to applications and devices independent of connectivity. On-device STT also translates to much lower cost, by removing transmission and server costs associated with cloud-based solutions. Available for Win and Mac OS.
Accent Localization
Supercharge your call center with AI Accent Localization
Runs on end user device
Save money on server infrastructure
No need to invest in server processing since everything with Krisp is done right on the user’s machine.
Avoid sending user audio and data to external servers
Processing is done faster and more securely without the added step of sending data to an external server.
Eliminate the need to implement server-side code
Integrating our technology is seamless and easy since servers are taken out of the equation.
Supported platforms
Krisp’s Audio SDK library is available for Windows, Mac, Linux, Web (JS/WASM), iOS and Android platforms.
Compiled C library
JavaScript libraryTell us about your solution, and
we’ll tell you how Krisp can help
Complete the form at the link below to tell us about your product and use case.
We will contact you to discuss how to get started with integrating Krisp SDKs.