Amazon vs Speechmatics

HIPAA-eligible service that transcribes patient-clinician conversations and generates preliminary clinical documentation with evidence mapping back to the transcript.

Natural-language-processing service that extracts key phrases, sentiment, entities, document classification and PII redaction from text.

A managed AWS service for building voice and text conversational bots, built on the same technology as Alexa.

Recommendation engine trained on user-interaction data to deliver real-time personalized recommendations across web, app and marketing channels.

A managed AWS API that converts text into synthesized speech across more than 40 languages and voice styles.

A managed AWS API for image and video analysis, including object and face detection, text extraction from images and content moderation.

A managed AWS API that extracts text, handwriting, forms and tables from scanned documents.

A managed AWS API that converts speech to text using an automatic speech recognition model.

Neural machine translation service for batch and real-time cross-lingual text translation with brand-terminology customization.

An AWS coding assistant that generates, reviews, tests and autonomously modifies code inside IDEs and the CLI.

Agentic AI development platform (IDE, CLI, web, mobile) that turns prompts into executable specs, validates code with property-based testing and runs parallel agents across large codebases.

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.