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.

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.

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.
![[alt: Bilingual medical model featuring terms related to various health conditions and medications in Arabic and English. Key terms include "Chronic kidney disease," "Heart attack," "Diabetes," and "Insulin," among others, displayed in an organized layout.]](/_next/image?url=https%3A%2F%2Fimages.ctfassets.net%2Fyze1aysi0225%2F3I31FQHBheddd0CibURFBv%2F4355036ed3d14b4e1accb3fe39ecd886%2FArabic-English-blog-Jade-wide-carousel.webp&w=3840&q=75)
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.
![[alt: Illuminated ancient mud-brick structures stand against a dusk sky, showcasing architectural details and textures. Palm trees are in the foreground, adding to the setting's ambiance. Visually captures a historic site in twilight.]](/_next/image?url=https%3A%2F%2Fimages.ctfassets.net%2Fyze1aysi0225%2F2qdoWdIOsIygVY0cwl8UD4%2Fe7725d963a96f84c87d614ccc6cce3c6%2FAdobeStock_669627191-wide-carousel.webp&w=3840&q=75)
Your voice agent speaks perfect Arabic. That's the problem.
Most voice AI models are trained on formal Arabic, but real conversations across the Middle East mix dialects and English in ways those systems aren’t built to handle.

How Nvidia Dominates the HuggingFace Leaderboards in This Key Metric
A technical deep-dive into Token Duration Transducers (TDT) — the frame-skipping architecture behind Nvidia's Parakeet models. Covers inference mechanics, training with forward-backward algorithm, and how TDT achieves up to 2.82x faster decoding than standard RNN-T.




