Speech APIs powering Voice AI
Low-latency speech-to-text for multilingual, multi-speaker conversations
Powering the world's best companies
Delivering 120X more with voice AI
Powering live content through AI-powered transcription, built on industry-leading voice AIEnabling 100,000+ developers with leading speech recognition
Pairing LiveKit’s flexible agent framework with Speechmatics to build world-class agentsRedefining real-time captioning
How NCI delivered a 99% increase in usage of automated captioningDelivering a 20% leap in accuracy improvements
Improved transcription performance across more than 20 languages for their global clientsDriving better conversations at scale
Leveraging speech recognition to track customer interactions, highlight key insights, and raise contact center performanceAccurate. Secure. Global.
Accurate. Secure. Global.
Speech technology built for companies with global reach and uncompromising standards for quality.
Voice AI that works where it matters most
From healthcare to live media, Speechmatics delivers real-world Speech APIs with low latency, multilingual capabilities, and built for scale.Voice AI that works where it matters most
Uncompromised, enterprise-level security
Uncompromised, enterprise-level security
Industry-leading security tools and controls, built for privacy-critical use cases.
Resources
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Best TTS APIs in 2026: ElevenLabs, Google, AWS & 9 More Compared for Developers
From ultra-fast conversational AI to studio-quality narration, compare 12 text-to-speech APIs — including ElevenLabs, Google Cloud, Amazon Polly and Speechmatics — to find the voice that matches your use case and budget.
![[alt: Logo design featuring the text "SPEECHMATICS" alongside a stylized logo for "Cekura," set against a soft green background with subtle curved lines.]](/_next/image?url=https%3A%2F%2Fimages.ctfassets.net%2Fyze1aysi0225%2F39N1Yr95B2jvfd7JKGihq0%2F7b1ca5f8d5db0235b64829dcab16b96a%2FSpeechmatics_partners_with_Cekura-wide-carousel.webp&w=3840&q=75)
Speechmatics and Cekura bring real-world STT testing to voice agent pipelines
A new integration gives agent developers a QA layer built for the complexity of the real world.
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Speech-to-text in production: what 36 years of hard lessons taught me
The founder who built speech recognition in 1989 on latency, turn detection and faulty pipelines

The court reporter shortage crisis: data, causes, and what legal teams are doing about it
The court reporter shortage is reshaping litigation. Explore data, causes, and how legal teams are using digital reporting and AI transcription to adapt.

What Word Error Rate Is Acceptable for Legal Transcription?
Word error rate for legal transcription has no single acceptable threshold. But knowing how accuracy, audio quality, and review obligations connect to real legal risk is what separates a reliable transcript from a costly one.
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Speechmatics achieves a world first in bilingual Voice AI with new Arabic–English model
Sets a new accuracy bar for real-world code-switching: 35% fewer errors than the closest competitor.




