Soniox vs Speechmatics

Soniox — Infrastructure · Private · Undisclosed  |  Speechmatics — Infrastructure · Private · Undisclosed · 1 of 1 figure sourced

Relationship

Soniox Text-to-Speech API and Text to Speech both list text to speech; both also serve buyers who need to create synthetic voice and audio; 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 shared capabilitiesShared product type

4 shared capabilities — Across all their products, both list speech to text, summarization, text to speech and 1 more.

Ludbee capability tags · every product each company sells

Shared product type — Both ship API service.

Ludbee product records

Aligned comparison

FieldSonioxSpeechmatics
StageUndisclosedUndisclosed match
Founded—2006
StatusPrivatePrivate match
CategoryInfrastructureInfrastructure match
Stack layerAPI service, ApplicationAPI service, Developer tool
HeadquartersFoster City, USACambridge, United Kingdom

Capability overlap

Shared · 4

Speech to textSummarizationText to speechTranslation

Not verified for Soniox · 2

Data analysisVoice agent

Recorded for Speechmatics. Soniox’s product records say nothing either way — a missing record is not a missing capability.

Soniox has no capability Speechmatics lacks, among the 4 recorded here.

Products, side by side

Algorithmic pairing — assembled from recorded fields, not hand-checked

Soniox

API service

Soniox Speech Translation APIAPI service

Real-time speech translation API that translates speech one way into a target language, or both ways in a conversation, while people are still speaking, across 60+ languages, for voice agents, live captions and multilingual meetings.

Soniox Speech-to-Text APIAPI service

Speech-to-text API (stt-rt-v5) for real-time and file transcription and speech translation, priced by tokens of audio.

Soniox Text-to-Speech APIAPI service

Soniox Text-to-Speech API generates audio from text through a REST endpoint.

Speechmatics

API service

Speech to Text APIAPI 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.

SummarizationAPI service

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.

Text to SpeechAPI service

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.

TranslationAPI service

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.

Voice Agent APIAPI service

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.

No counterpart

Soniox sells these in a stack layer with no product recorded for Speechmatics yet — nothing on the other side to compare them against.

Application

Smart ScribeApplication

Smart Scribe records audio and produces real-time transcriptions.

Soniox AppApplication

Soniox App records, transcribes and translates audio.

Speechmatics sells these in a stack layer with no product recorded for Soniox yet — nothing on the other side to compare them against.

Developer tool

On-Device Speech to TextDeveloper 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.