What is Speechmatics?
Speechmatics is a speech to text API platform that converts spoken audio into accurate transcriptions in real time and batch mode. It supports 55+ languages, runs on-device, on-premise, or in the cloud, and powers voice AI agents, live captioning, medical transcription, legal transcription, and contact center analytics.
Developers integrate Speechmatics as a speech to text API to add high-accuracy, low-latency transcription to applications — without compromising on data privacy or language coverage.
Features & Benefits
- Real-time speech to text API — delivers sub-second transcription latency for live use cases including voice agents, live captioning, and real-time meeting transcription
- Batch transcription — processes pre-recorded audio files for high-volume transcription workflows
- 55+ language support — covers over half the world’s population with multilingual speech recognition including bilingual models such as Arabic-English code-switching
- Speaker diarization — identifies and separates individual speakers in multi-speaker conversations
- Medical speech model — reduces errors on medical terminology by up to 50% for ambient scribe and clinical dictation use cases
- Voice agent API (Flow) — provides a full speech-to-text and text-to-speech pipeline optimized for building conversational AI voice agents with speaker-aware, low-latency output
- Text to speech — generates natural-sounding voice output for voice agent and synthesis use cases
- On-device deployment — runs the speech to text API locally on device for maximum privacy without sending audio to the cloud
- On-premise and cloud deployment — flexible deployment options including private cloud, on-premise, and Speechmatics-hosted cloud
- No data logging — does not log audio or transcription data by default
- Custom vocabulary — adds domain-specific terms and proper nouns to improve transcription accuracy
- Punctuation and formatting — automatically applies punctuation, capitalization, and number formatting to transcripts
Real-World Applications
Development teams building AI voice agents can use Speechmatics’ voice agent API to handle both speech recognition and text-to-speech in a single pipeline. Sub-second latency and speaker-aware transcription may improve the naturalness of real-time conversational AI interactions across 55+ languages.
Healthcare technology companies building ambient scribe or clinical documentation tools can use the medical speech model to reduce transcription errors on drug names, procedures, and diagnoses. More accurate clinical transcription may reduce the manual correction burden on healthcare professionals.
Media and broadcast companies delivering live captions for news, sports, and events can use the real-time speech to text API to generate accurate captions at scale. Low-latency transcription that holds accuracy under pressure may replace slower manual captioning workflows without sacrificing compliance.
Contact center platforms analyzing customer conversations can use Speechmatics’ speech analytics capabilities to transcribe calls and extract insights from multi-speaker audio. Accurate speaker diarization across accented and multilingual speech may improve the quality of sentiment analysis and agent performance monitoring.
