Medical speech-to-text API for clinical transcription and dictation

A medical speech recognition API converts clinical speech into text that healthcare applications can use programmatically.

Soniox Speech-to-Text API can process live or recorded clinical audio and return transcript data for medical transcription, dictation, ambient documentation, telehealth, research, and other healthcare workflows.

Yes. Soniox Speech-to-Text API supports real-time and asynchronous transcription for clinical conversations, medical dictation, telehealth, ambient documentation, and other healthcare speech workflows.

It includes capabilities such as context customization, speaker diarization, timestamps, language identification, and multilingual transcription.

Yes. Soniox Speech-to-Text API lets your application provide domain-specific context with each transcription request.

You can supply medical terminology, medication names, procedures, specialties, clinician names, organizations, patient context, and other relevant vocabulary to help guide recognition.

Yes. Context can be supplied dynamically for each session, allowing your application to provide terminology and background information relevant to the specialty, provider, patient, or encounter.

This lets you adapt clinical speech recognition without maintaining a separately fine-tuned model for every healthcare workflow.

Yes. Speaker diarization detects speaker changes and assigns transcript content to different speaker labels.

Healthcare applications can use those labels to structure clinician-patient encounters, consultations, interviews, telehealth sessions, and other multi-speaker medical conversations.

Yes. Soniox Speech-to-Text API can transcribe fast, free-form medical dictation in real time or process completed dictation recordings asynchronously.

Context customization is especially useful for medical dictation applications where clinicians regularly use specialty terms, medication names, abbreviations, people, and organization-specific vocabulary.

Yes. Clinical dictation applications can stream microphone audio to Soniox Speech-to-Text API and receive transcript results while the clinician is speaking.

Your application can then use the transcript inside documentation, EHR, editing, summarization, or other clinical workflows.

Yes. Soniox Speech-to-Text API streams transcript results while audio is arriving.

This makes it suitable for ambient clinical documentation, telehealth, live medical dictation, clinical assistants, and healthcare applications that need transcript data during the encounter.

Yes. Soniox Speech-to-Text API provides asynchronous transcription for completed audio files.

This is useful for recorded consultations, dictated notes, clinical research interviews, uploaded audio, and other workflows where real-time results are not required.

Yes. Soniox Speech-to-Text API supports speech recognition across more than 60 languages using one unified model.

Spoken languages can be identified automatically, including clinical conversations where speakers switch languages during the same encounter.

Yes. Soniox Speech-to-Text API supports speech translation alongside transcription for both real-time and asynchronous workflows.

Healthcare applications can use this capability to build multilingual transcript and communication experiences while preserving the original speech transcription.

Soniox lists HIPAA among its supported compliance frameworks and maintains SOC 2 Type 2 and ISO/IEC 27001:2022 certifications.

Healthcare deployments involving protected health information may require additional contractual terms, such as a Business Associate Agreement. Review the Soniox Security & Compliance documentation and your organization's requirements before production use.

Real-time API requests are processed transiently and are not stored by Soniox. Soniox also states that customer audio and transcripts are not used to train its models.

Asynchronous services require storage for processing and retrieval, and stored content follows the applicable retention and deletion behavior documented by Soniox.

Yes. Soniox supports regional data residency for eligible projects. When a region is selected, audio and transcript content remains within that region for processing and storage.

Regional deployments are currently documented for the United States, European Union, Japan, and India.

Yes. Soniox Speech-to-Text API returns transcript content and metadata your application can pass into its own clinical documentation, EHR, scribing, analytics, or workflow layer.

Your application remains responsible for mapping, validation, formatting, and integration with the target healthcare system.

Yes. Speech recognition systems can produce errors, and healthcare applications should apply the review, validation, safeguards, and compliance processes appropriate for their use case.

Soniox Speech-to-Text API provides the speech recognition layer; your application determines how transcript output is reviewed and used within the clinical workflow.