Built for scale, trusted by developers
Built for scale, trusted by developers
Developers supported
From solo builders to global products, teams ship voice on Speechmatics.
API uptime
A speech layer you can build a business on, in the cloud or on-prem.
Languages supported
Real-time and batch transcription with automatic code-switching mid-sentence.
Support tickets resolved
A community-first team dedicated to your success at every stage.
Get your first transcript
Get your first transcript
Stream audio and receive real-time transcripts using the real-time API. Start by generating your API key.
1# Install the speechmatics package using the command "pip install speechmatics-rt"
2
3#!/usr/bin/env python3
4"""Real-time transcription with microphone."""
5
6import asyncio
7import os
8from dotenv import load_dotenv
9from speechmatics.rt import (
10 AsyncClient,
11 ServerMessageType,
12 TranscriptionConfig,
13 TranscriptResult,
14 OperatingPoint,
15 AudioFormat,
16 AudioEncoding,
17 Microphone,
18 AuthenticationError,
19)
20
21load_dotenv()
22
23
24async def main():
25 api_key = os.getenv("SPEECHMATICS_API_KEY")
26
27 transcript_parts = []
28
29 audio_format = AudioFormat(
30 encoding=AudioEncoding.PCM_S16LE,
31 chunk_size=4096,
32 sample_rate=16000,
33 )
34
35 transcription_config = TranscriptionConfig(
36 language="en",
37 enable_partials=True,
38 operating_point=OperatingPoint.ENHANCED,
39 )
40
41 mic = Microphone(
42 sample_rate=audio_format.sample_rate,
43 chunk_size=audio_format.chunk_size,
44 )
45
46 if not mic.start():
47 print("PyAudio not installed. Install: pip install pyaudio")
48 return
49
50 try:
51 async with AsyncClient(api_key=api_key) as client:
52 @client.on(ServerMessageType.ADD_TRANSCRIPT)
53 def handle_final_transcript(message):
54 result = TranscriptResult.from_message(message)
55 transcript = result.metadata.transcript
56 if transcript:
57 print(f"[final]: {transcript}")
58 transcript_parts.append(transcript)
59
60 @client.on(ServerMessageType.ADD_PARTIAL_TRANSCRIPT)
61 def handle_partial_transcript(message):
62 result = TranscriptResult.from_message(message)
63 transcript = result.metadata.transcript
64 if transcript:
65 print(f"[partial]: {transcript}")
66
67 try:
68 print("Connected! Start speaking (Ctrl+C to stop)...\n")
69
70 await client.start_session(
71 transcription_config=transcription_config,
72 audio_format=audio_format,
73 )
74
75 while True:
76 frame = await mic.read(audio_format.chunk_size)
77 await client.send_audio(frame)
78
79 except KeyboardInterrupt:
80 pass
81 finally:
82 mic.stop()
83 print(f"\n\nFull transcript: {' '.join(transcript_parts)}")
84
85 except (AuthenticationError, ValueError) as e:
86 print(f"\nAuthentication Error: {e}")
87
88
89if __name__ == "__main__":
90 asyncio.run(main())
91 Wall of fame

Building a Conversational AI Writing Partner with Speechmatics and LiveKit
A voice-native editor agent for reviewing and polishing blog posts, built with Speechmatics STT/TTS and LiveKit's real-time pipeline.
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Pipecat and Speechmatics: Building Voice Agents that know exactly 'Who' said 'What'
Build smarter voice agents on Pipecat with Speechmatics speech-to-text, now with powerful speaker diarization for real-world, multi-speaker conversations.
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Vapi and Speechmatics: Build agents that understand every voice
Ship Voice AI agents that understand every voice in real-time, even in noisy, multi-speaker scenarios.
Create and explore
Speed up your learning with the collective wisdom of developers already building voice agents in the open. We believe the fastest way to learn is to build something real, then share what you found.Create and explore
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Join the developers already building voice AI with Speechmatics. Get unblocked fast, share what you are shipping, and swap notes with people solving the same problems.Interact and be heard
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