Sunoh.ai icon

Sunoh.ai

Converts spoken patient-provider conversations into structured clinical notes and integrates them into EHR systems.

Reviewed by ToolWorthy Editors·updated 2 months ago

Pricing:From $149/per seat / month
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Sunoh.ai AI medical scribe website

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Pros & Cons

Pros

  • Built specifically for clinical documentation
  • Drafts transcripts, summaries, and SOAP notes
  • Public starting price is easy to understand
  • Mobile and browser access support common care settings
  • BAA and support claims are relevant for healthcare buyers

Cons

  • Medical workflows require careful review before use
  • EHR compatibility should be confirmed before rollout
  • Limited public plan comparison details
  • Not intended for general business meetings

Overview

Sunoh.ai is an AI medical scribe for clinical documentation. It is designed to capture patient-provider encounters, generate transcripts, draft clinical summaries, create SOAP notes, and help clinicians move edited documentation into their EHR workflow.

The product fits a practical healthcare problem: clinicians spend too much time documenting visits after the appointment. Sunoh.ai uses ambient voice capture and speech recognition to reduce manual note-taking while keeping the provider in control of review and editing before documentation is imported or saved.

As of April 28, 2026, Sunoh's public pricing page lists a limited-time starting price of $149 per user per month. It also highlights availability on iPhone, iPad, Android phones, and web browser, plus support, implementation services, Microsoft Azure hosting, and a Business Associate Agreement. Buyers evaluating AI meeting notes should treat Sunoh as a specialized medical scribe rather than a general meeting recorder.

For adjacent research, compare AI music generator tools, AI music generator guide.

Key Features

  • Ambient voice capture - Sunoh listens during patient encounters so clinicians do not need to manually type every detail during the visit.
  • Visit transcripts - The platform creates encounter transcripts that can support documentation review and clinical context.
  • Draft clinical summaries - Sunoh generates draft summaries that clinicians can review, edit, and finalize.
  • Draft SOAP notes - The product supports SOAP note generation for structured clinical documentation.
  • EHR-oriented workflow - Clinicians can edit text before importing or saving the documentation into their EHR process.
  • Healthcare support package - Sunoh publicly highlights 24x7x365 support, implementation services, Azure hosting, and BAA inclusion.

Pricing & Plans

Sunoh publishes straightforward starting pricing, but healthcare buyers should still confirm EHR fit, implementation details, contract terms, and any practice-level requirements.

Plan Public pricing Best fit
Sunoh.ai medical scribe Starting at $149 per user per month for a limited time Providers and practices that need AI-assisted encounter documentation

The pricing page describes the offer as transparent and no long-term commitment. Final procurement details may vary by practice size, EHR, region, and implementation scope.

Best For

Sunoh.ai is best for medical practices and providers that want an AI scribe to reduce documentation burden after patient visits. It is less suitable for teams looking for a general-purpose transcription app or non-clinical note-taking tool.

FAQ

What is Sunoh.ai?

Sunoh.ai is an AI medical scribe for capturing patient encounters and generating draft clinical documentation.

How much does Sunoh.ai cost?

Sunoh's public pricing page lists a limited-time starting price of $149 per user per month.

Does Sunoh.ai create SOAP notes?

Yes. Sunoh lists draft SOAP note generation among its features.

Is Sunoh.ai for general meetings?

No. It is positioned for healthcare and clinical documentation workflows.

Who should use Sunoh.ai?

Sunoh.ai is best for users who need the workflow described in this review and want to compare it against adjacent AI tools before adopting it.

Does Sunoh.ai replace human review?

No. It can speed up the workflow, but important outputs should still be checked for accuracy, quality, and fit before production use.

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