![[alt: Dark teal gradient with "Oak-1" and the text "Speechmatics' new multilingual medical model" highlighted below faded Standard, Enhanced, Melia-1 and Linden-1 model names.]](/_next/image?url=https%3A%2F%2Fimages.ctfassets.net%2Fyze1aysi0225%2F2mET3THUhmJ7zfoFKr5Hsg%2F38d91ed62f9187034d7410cfbb12af5c%2FOak-blog-1-1200x960.webp&w=3840&q=75)
Meet Oak: medical transcription that follows the conversation across languages and speakers
Oak is Speechmatics’ new medical speech-to-text model, built for clinical conversations that move between languages and speakers.
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- General
How Medical Transcription Supports Clinician Productivity
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Healthcare is feeling the strain. Multilingual AI can be the answer.
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How Background Noise Impacts Transcription Accuracy
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5 Accent and Dialect Challenges That Still Trip Up Speech Recognition
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Company
- Company
Speechmatics versus Whisper: how Adobe Premiere's on-device speech engine got rebuilt
- Company
Adobe and Speechmatics deliver cloud-grade speech recognition on-device for Premiere
- Company
One word changes everything: Speechmatics and Edvak EHR partner to make voice AI safe for clinical automation at scale
- Company
Speechmatics in 2025: the numbers that shaped Voice AI's breakthrough year (+ what’s to come in 2026)
Product
Introducing Agent STT: built for the words that cost you the call
Agent STT, powered by Linden 1, gives voice agents the speed, accuracy and conversational context they need in production.
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Scale more easily with Speechmatics
- Product
Speechmatics & LiveKit Inference target the accuracy gap that breaks voice agents in production
- Product
Speechmatics on Zapier: No-Code Speech-to-Text Automation
- Product
Speechmatics launches Medical Model for real-time clinical transcription
- Product
Speaker Focus: Fixing Voice AI for the real world
- Product
Introducing Melia, our new multilingual speech-to-text model
- Product
Alphanumeric speech recognition: why voice assistants mangle SKUs (and how to fix it)
- Product
Speechmatics and Cekura bring real-world STT testing to voice agent pipelines
Technical
- Technical
On-device speech-to-text, in 10 questions
Ten questions to Stuart Wood, Director of Product, on the economics of speech at scale, how close local accuracy now gets to cloud, and who could benefit from Speechmatics On-Device.
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Melia 1 leads speech-to-text code-switching in Arabic, Mandarin and Tamil
On Arabic and English, Melia 1 runs at less than half the mixed error rate of the next best model. On Mandarin and Tamil it switches more accurately than anything else we tested.
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Gone in 20 seconds: Melia outpaces AssemblyAI, ElevenLabs and Soniox
An hour of audio in, a transcript back in under 20 seconds. 30 minutes in under 10 seconds. 10 minutes in under 5 seconds.
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The Adobe story: How we made cloud-grade AI work on your laptop
Behind the build: what it takes to make cloud-grade speech recognition work inside Adobe Premiere, and why Whisper raised the stakes.
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Use Cases
Tresic selects Speechmatics to power the speech layer of its conversation intelligence platform
End customers will only ever see their own provider's brand, which means the layer underneath has to be good enough to go unnoticed.
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Dutch doctors spend a quarter of their day on admin. Wellcom has built the fix.
- Use Cases
Best speech-to-text AI guide: APIs, platforms and services compared
- Use Cases
The court reporter shortage crisis: data, causes, and what legal teams are doing about it
- Use Cases
What Word Error Rate Is Acceptable for Legal Transcription?
- Use Cases
Why AI-native EHR platforms will treat speech as core infrastructure in 2026
- Use Cases
7 Voice AI predictions from teams building at scale in 2026
- Use Cases
Your essential 2026 guide to voice ai compliance in today's digital landscape
- Use Cases
How to Launch a Faceless YouTube Channel Using AI Voiceover (Business Guide)
Resources
- General
How Medical Transcription Supports Clinician Productivity
- Product
Meet Oak: medical transcription that follows the conversation across languages and speakers
- Use Cases
Healthcare is feeling the strain. Multilingual AI can be the answer.
- General
How Background Noise Impacts Transcription Accuracy
- General
5 Accent and Dialect Challenges That Still Trip Up Speech Recognition
- General
How to Benchmark Speech Recognition Accuracy Before You Commit to an API
- Technical
On-device speech-to-text, in 10 questions
- General
How Law Firms Can Reduce Deposition Costs with AI Transcription
- Product
Introducing Agent STT: built for the words that cost you the call
- Product
Scale more easily with Speechmatics