Genesys vs Speechmatics

The speech and text analytics layer of Genesys Cloud CX: it transcribes voice and digital interactions, spots topics, scores customer sentiment and agent empathy, and reports how they change over time. It is a capability inside the Genesys Cloud CX tiers rather than a product bought on its own.

Genesys Cloud Copilot gives contact-centre agents and supervisors real-time AI assistance including auto-summarisation, knowledge retrieval, next-best-action guidance and translation across 70+ languages.

Selects and analyzes customer interactions for quality assurance using AI.

Forecasts staffing needs up to two years ahead using 25+ machine-learning models and an AI-powered Activity Planner for schedule optimization.

Watches website visitor behaviour inside Genesys Cloud CX, scores each visitor's likelihood to buy, churn or abandon a cart, and triggers a chat, offer or message when the model says it is worth engaging. Included in the CX 2 tier and above; an add-on on CX 1.

Genesys Cloud Agentic Virtual Agent is an autonomous AI agent that reasons through a customer's goal, plans actions and executes multi-step workflows across systems to resolve requests end to end without human intervention.

Genesys Cloud AI Studio is a centralized, low-code hub for building, configuring, managing and governing AI-powered experiences such as virtual agents and copilots.

Contact-centre platform where AI usage is metered separately from seats: always-on virtual agents, copilots in the agent workspace, and an AI Studio for building and governing agents — with AI Experience tokens granted per organisation and per agent.

Genesys Cloud Knowledge Fabric unifies enterprise knowledge from multiple sources into an adaptive layer that powers AI agents with contextual search and generative-AI answers carrying source citations.

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.

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.