AI Medical Transcription | Speech-to-Text for Medical Companies

Our models are trained on a rich and diverse dataset, including lots of medical terminology. To enhance the accuracy even further, you can add specific vocabulary that speech recognition engines usually get wrong into our Custom Dictionary. That way, we'll get those terms right every time.

Yes, your patient data is secure. Our systems prioritize privacy with end-to-end encryption, strict access controls, and compliance with healthcare regulations like HIPAA. We ensure data is processed securely and stored responsibly, protecting sensitive information while delivering accurate, real-time solutions tailored to healthcare needs without compromising confidentiality or trust. We also offer on premises deployments.

We can, with accurate transcription in under 1 second. Accurate live transcription in healthcare ensures precise documentation of patient interactions, reducing errors and enhancing communication among care teams. It aids in capturing critical details during consultations, supports legal compliance, and improves patient safety. Real-time accuracy minimizes administrative burdens, allowing healthcare professionals to focus on delivering efficient, high-quality patient care.

Ambient AI in healthcare seamlessly integrates intelligent systems into clinical environments, automating documentation, monitoring patient vitals, and optimizing workflows. By using speech recognition and IoT, it enhances care delivery, reduces administrative burdens, and ensures timely interventions, allowing healthcare providers to focus on patient care while improving efficiency and outcomes unobtrusively.

Yes, we transcribe a wide range of accents and dialects with high accuracy. Our advanced ASR models are designed for inclusivity, ensuring diverse voices are recognized regardless of language, accent, or dialect. This capability empowers global accessibility, enabling your contact center to support multiple languages and delivers reliable transcription across varied linguistic and cultural contexts.

Conversational AI in healthcare streamlines processes and enhances care by automating tasks like scheduling, symptom triage, and medication reminders. It transcribes clinical interactions, reducing documentation burdens, and monitors patient data for anomalies. Additionally, it offers on-demand mental health support, improving accessibility, efficiency, and patient outcomes through intelligent, personalized interactions.

Our API is built to slot into your existing workflow with minimal technical setup. Whether you're developing an AI medical scribe that pushes transcriptions directly into an EHR system, or processing physician-patient conversations to auto-populate clinical notes, our speech-to-text engine delivers the accuracy and structured output your integration needs. We don't prescribe a single platform, you build the way that fits your clinical practice, and we provide the voice data layer to power it.

Speechmatics provides the accurate real-time transcription foundation that your application uses to generate structured clinical documentation. Your AI layer can take our precise transcripts of patient interactions and format them into SOAP notes, progress notes, referral letters, or whatever documentation style your clinical context requires. With 50% fewer keyword errors than the next best system, the transcripts your models receive are clean enough to significantly reduce manual corrections downstream, which is where documentation time really adds up.

Clinicians spend hours every day on clinical documentation, time taken away from patient care, from the exam room, and from thinking. Speechmatics' real-time medical transcription captures physician-patient conversations as they happen, automatically, so medical professionals can stay present with their patients instead of typing notes. By removing manual transcription from the workflow, our AI scribe technology directly reduces the mental load of clinical documentation and eliminates the after-hours catch-up that contributes to burnout across the healthcare industry.

Yes. Speechmatics is fully HIPAA compliant, with the infrastructure and controls required to responsibly handle protected health information. We offer on-premise deployment so patient data never leaves your environment, no data logging by default, end-to-end encryption in transit and at rest, and regular third-party audits to independently validate our security posture. Patient privacy is not an afterthought, it's built into the architecture from the ground up.

Yes. The same real-time engine behind our medical model powers dedicated builds for dental and veterinary practices, each trained on the terminology specific to that specialty. If you're building for a dental operatory or a vet clinic rather than general healthcare, those pages cover the specifics.