Alphabet (Google) vs Speechmatics

Enterprise search and retrieval service on the Gemini Enterprise Agent Platform (formerly Vertex AI Search) that indexes an organisation's websites, documents and structured data and serves search, answers and recommendations to applications and agents.

A managed Google Cloud API that transcribes audio to text, supporting streaming and batch recognition across 85+ languages.

A managed Google Cloud API that synthesizes natural-sounding speech from text across 380+ voices and 75+ languages.

A managed Google Cloud API that translates text and documents across more than 100 language pairs using neural machine translation, custom models or a translation-specialized LLM.

A managed Google Cloud API for image and document analysis, including object, face and landmark detection, OCR text extraction, and explicit-content tagging.

A pay-per-page API for extracting, classifying and summarizing structured data and text from documents such as invoices, forms and IDs.

ML-based text understanding: sentiment analysis, entity recognition, syntax analysis and content classification.

Video AI service that analyzes video content for object/label/shot detection and other video-intelligence tasks.

Enterprise-grade notebook environment (IAM-managed access, Google Cloud security/network, official support) explicitly distinguished on its own page from the free Colaboratory product.

An AI coding assistant integrated into IDEs, GitHub pull requests and a CLI, sold in free, Standard and Enterprise tiers.

A free web tool for prototyping prompts and testing Gemini models before moving to the Gemini API for production use.

Agentic software-development platform managing autonomous coding agents across an IDE, a graphical command center and a terminal-first CLI surface.

Managed JupyterLab notebook instances on Google Cloud, prepackaged with deep-learning frameworks and integrated with BigQuery, Cloud Storage and scheduling, for developing and training models end to end.

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.