Krisp vs Speechmatics
Relationship
Krisp Voice Isolation SDK and On-Device Speech to Text do comparable work on speech to text; scale not recorded for either.
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
4 of 9 capabilities — Shares data analysis, speech to text, summarization and 1 more.
Ludbee capability tags · from the product recordsShared product type — Both ship developer tool.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 4
Not verified for Speechmatics · 5
Recorded for Krisp. Speechmatics’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Krisp · 2
Recorded for Speechmatics. Krisp’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Krisp
Developer tool
Licensable SDK that isolates voice in real time within third-party developer audio pipelines.
Speechmatics
Developer tool
A locally-executing speech-to-text engine for Mac and Windows laptops that runs on about one CPU core plus the device's neural engine or GPU and roughly 800MB of memory, sending no audio over a network and claiming accuracy within 5% of the cloud API.
No counterpart
Krisp sells these in a stack layer with no product recorded for Speechmatics yet — nothing on the other side to compare them against.
Application
Voice AI between the microphone and the call: noise, echo and cross-talk removal, an AI note-taker that writes summaries and updates the CRM across 16 languages, and live accent conversion — sold to individuals, to call centres per agent, and to developers as an SDK.
Converts speaker accents in real time while preserving speaker identity.
Assists contact-center agents with real-time answers, summaries and coaching.
Real-time voice AI layer for contact centers, integrating with major CCaaS/UCaaS platforms (Vonage, RingCentral, Genesys, Amazon Connect and others) without requiring telephony integration.
Speechmatics sells these in a stack layer with no product recorded for Krisp yet — nothing on the other side to compare them against.
API service
Speechmatics' automatic speech recognition API transcribes audio into text in 55+ languages in either real-time streaming or batch mode, with speaker diarization, custom dictionary, translation and summarization options.
Generates a short summary of an audio file in the same API call that transcribes it, as paragraphs or bullets. It is a Speech Intelligence feature enabled by adding a config block to a batch Speech to Text job, not a product bought on its own.
Speechmatics' text-to-speech API generates streaming synthetic English speech from text with sub-150ms latency using four named voices (Sarah, Theo, Megan, Jack), aimed at real-time voice agent use.
Translates a transcript into other languages in the same API call that produces it, for files or live audio. It is a feature switched on inside a Speech to Text request rather than a separate product; the docs file it under Speech to Text and return the translations alongside the transcript.
Speechmatics' voice agent offering provides a real-time conversational speech API - including the Flow WebSocket endpoint that chains speech-to-text, an LLM, text-to-speech and function calling - plus a Python Voice SDK for turn detection and speaker management, and integrations with Vapi, LiveKit and Pipecat.