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speechmatics-voice

Speechmatics Voice Agent Python client for Real-Time API

With conditionsPyPI Python ModulesReleased Jan 2026209.5K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — speechmatics_voice-0.2.8-py3-none-any.whl
v0.2.8 · released 2026-01-26 · Python >=3.9 · 3 runtime deps: speechmatics-rt, pydantic, numpy

Yes, if you are building a Python voice application that needs real-time transcription with speaker awareness and turn detection. The low install friction, active maintenance, MIT license, and preset configurations make it a practical choice. Verify that optional ML features meet your production requirements and that latency characteristics align with your use case before committing to a large deployment.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.9 or later; optional ML-based turn detection and VAD features require additional dependencies that are gracefully disabled if not installed.
  • Low friction installation with a pure-Python wheel.
  • Active maintenance with recent commits; repo is not archived.

License · maintenance · safety

MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; suitable for most projects.

last release 2026-01-26 (200 days) · last repo commit 2026-08-13 · 18 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 209,540 downloads/mo, #9,512 on PyPI

Verify before relying

pip install speechmatics-voice

import asyncio
from speechmatics.voice import VoiceAgentClient, AgentServerMessageType

client = VoiceAgentClient(api_key="your_key", preset="scribe")

@client.on(AgentServerMessageType.ADD_SEGMENT)
def on_segment(message):
    for segment in message["segments"]:
        print(f"{segment['speaker_id']}: {segment['text']}")

await client.connect()
await client.send_audio(audio_chunk)
await client.disconnect()
  • Whether ML-based turn detection (SMART_TURN) and VAD features work reliably without manual model download in production environments
  • Performance characteristics and latency guarantees under high-concurrency or high-volume transcription workloads
  • Compatibility with specific voice frameworks mentioned in keywords but not detailed in the excerpt
Same gist for agents: .md · .json

What it is and what it does

Speechmatics Voice is a higher-level Python wrapper around the Speechmatics Real-Time API that simplifies building voice-enabled applications. Instead of handling raw word-level transcription events, it provides intelligent speech segmentation (grouping words into meaningful segments per speaker), automatic turn detection to know when speakers finish, and speaker management for multi-speaker scenarios. It comes with preset configurations optimized for conversational AI, voice agents, note-taking, and live captioning, so you can start with sensible defaults rather than tuning parameters from scratch.

The SDK is designed for async Python applications that stream audio and need clean, structured speech segments with speaker IDs rather than low-level transcription events. It depends on speechmatics-rt for the underlying real-time connection, pydantic for configuration validation, and numpy for audio handling. Installation is straightforward; optional ML features require additional dependencies but are gracefully disabled if not present.

Use it for

  • Build a conversational AI chatbot that detects when the user finishes speaking and responds appropriately
  • Create a real-time meeting transcription tool that labels segments by speaker and formats them for note-taking
  • Implement live captioning for video streams or broadcasts with automatic speaker identification
  • Develop a voice agent that handles multi-turn dialogue with adaptive or ML-based turn detection
  • Stream microphone audio from a web or mobile app to transcribe speech with minimal latency

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you are building a Python voice application that needs real-time transcription with speaker awareness and turn detection.

The low install friction, active maintenance, MIT license, and preset configurations make it a practical choice. Verify that optional ML features meet your production requirements and that latency characteristics align with your use case before committing to a large deployment.

Install

speechmatics-voice on PyPI

Before you install

Low friction installation with a pure-Python wheel. Active maintenance with recent commits; repo is not archived. Requires speechmatics-rt, pydantic, and numpy as runtime dependencies.

Requires Python 3.9 or later; optional ML-based turn detection and VAD features require additional dependencies that are gracefully disabled if not installed.

License in practice

MIT license permits commercial and private use with minimal restrictions; suitable for most projects.

Quickstart

pip install speechmatics-voice

import asyncio
from speechmatics.voice import VoiceAgentClient, AgentServerMessageType

client = VoiceAgentClient(api_key="your_key", preset="scribe")

@client.on(AgentServerMessageType.ADD_SEGMENT)
def on_segment(message):
    for segment in message["segments"]:
        print(f"{segment['speaker_id']}: {segment['text']}")

await client.connect()
await client.send_audio(audio_chunk)
await client.disconnect()

Verify before relying

  • Whether ML-based turn detection (SMART_TURN) and VAD features work reliably without manual model download in production environments
  • Performance characteristics and latency guarantees under high-concurrency or high-volume transcription workloads
  • Compatibility with specific voice frameworks mentioned in keywords but not detailed in the excerpt

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.9
Install frictionLow. Pure-Python wheel
Runtime dependencies
3 packages
speechmatics-rtpydanticnumpy
MaintenanceActively maintained 200 days since the last release
Last repo commit
First released
Downloads209,540 / month, #9,512 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 4 - BetaIntended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.9Topic :: Multimedia :: Sound/Audio :: SpeechTopic :: Software Development :: Libraries :: Python Modules

Evidence: speechmatics_voice-0.2.8-py3-none-any.whl

Tags

Capabilities
real-time speech transcription sdkvoice agent framework pythonconversational ai voicespeech segmentation turn detectionwebsocket audio streamingspeaker diarization sdkvoice application framework
Topics
real-time-audiovoice-agentsspeech-to-text
PyPI keywords
speechmaticsconversational-aivoiceagentswebsocketreal-timepipecatlivekit

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See also livekit-plugins-speechmatics · speechmatics-rt · speechmatics-batch · pyannoteai-sdk · livekit-plugins-soniox · deepgram-sdk · hume · dashscope · elevenlabs · whisperx