livekit-plugins-speechmatics
Agent Framework plugin for Speechmatics
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained (released 1 day ago), has no known vulnerabilities, low install friction, and Apache-2.0 licensing. Install it if you are building a LiveKit agent and need Speechmatics transcription with speaker diarization or flexible turn detection. Requires Python 3.10+ and a valid Speechmatics API key.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Speechmatics API key set as SPEECHMATICS_API_KEY environment variable or in .env.local file; Python 3.10 or later required.
- Low install friction; pure Python wheel with only two runtime dependencies (livekit-agents and speechmatics-voice).
- Package is actively maintained with a release 1 day old and no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most production deployments.
last release 2026-08-13 (1 days) · last repo commit 2026-08-14 · 13,003 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 175,173 downloads/mo, #10,269 on PyPI
Alternatives
Verify before relying
pip install livekit-plugins-speechmatics
from livekit.agents import AgentSession
from livekit.plugins import speechmatics
agent = AgentSession(
stt=speechmatics.STT(
turn_detection_mode=speechmatics.TurnDetectionMode.ADAPTIVE,
speaker_active_format="[Speaker {speaker_id}] {text}",
),
turn_detection="stt",
)- Exact latency or throughput characteristics for real-time transcription under typical network conditions.
- Behavior and fallback strategy if Speechmatics API becomes unavailable mid-session.
- Compatibility with specific versions of livekit-agents and speechmatics-voice beyond the declared runtime dependencies.
What it is and what it does
This package is a plugin that bridges Speechmatics' speech-to-text service into the LiveKit Agents framework, enabling voice transcription in real-time agent applications. It wraps the Speechmatics API client and integrates it with LiveKit's agent session lifecycle, handling audio streaming, transcription callbacks, and speaker identification.
The plugin supports multiple turn-detection strategies: external (driven by VAD or manual finalization), adaptive (Speechmatics-controlled), smart turn (ML-based), and fixed silence duration. It can emit speaker identification metadata in configurable formats and accepts custom vocabulary entries for domain-specific terms. Configuration is done through the STT constructor, and the plugin requires a Speechmatics API key at runtime.
Use it for
- Build a real-time conversational AI agent that transcribes user speech and identifies which participant is speaking in multi-party calls.
- Integrate Speechmatics transcription into a LiveKit-based meeting assistant that needs speaker attribution for accurate conversation logging.
- Create a voice-interactive application where turn-taking is controlled by Speechmatics' own endpointing rather than external VAD.
- Add domain-specific vocabulary (e.g., product names, technical terms) to transcription via the additional_vocab parameter.
- Deploy a LiveKit agent that uses Speechmatics for STT and delegates turn detection to the speech service itself.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained (released 1 day ago), has no known vulnerabilities, low install friction, and Apache-2.0 licensing. Install it if you are building a LiveKit agent and need Speechmatics transcription with speaker diarization or flexible turn detection. Requires Python 3.10+ and a valid Speechmatics API key.
Install
livekit-plugins-speechmatics on PyPI
Before you install
Low install friction; pure Python wheel with only two runtime dependencies (livekit-agents and speechmatics-voice). Package is actively maintained with a release 1 day old and no known vulnerabilities.
Requires Speechmatics API key set as SPEECHMATICS_API_KEY environment variable or in .env.local file; Python 3.10 or later required.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most production deployments.
Quickstart
pip install livekit-plugins-speechmatics
from livekit.agents import AgentSession
from livekit.plugins import speechmatics
agent = AgentSession(
stt=speechmatics.STT(
turn_detection_mode=speechmatics.TurnDetectionMode.ADAPTIVE,
speaker_active_format="[Speaker {speaker_id}] {text}",
),
turn_detection="stt",
)Verify before relying
- Exact latency or throughput characteristics for real-time transcription under typical network conditions.
- Behavior and fallback strategy if Speechmatics API becomes unavailable mid-session.
- Compatibility with specific versions of livekit-agents and speechmatics-voice beyond the declared runtime dependencies.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packageslivekit-agentsspeechmatics-voice |
| Maintenance | Actively maintained 1 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 175,173 / month, #10,269 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Topic :: Multimedia :: Sound/AudioTopic :: Multimedia :: VideoTopic :: Scientific/Engineering :: Artificial Intelligence |
Evidence: livekit_plugins_speechmatics-1.6.10-py3-none-any.whl
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See also livekit-plugins-soniox · livekit-plugins-turn-detector · speechmatics-voice · livekit-plugins-inworld · livekit-plugins-deepgram · speechmatics-rt · speechmatics-batch · livekit-plugins-assemblyai · livekit-plugins-rime · kugelaudio