The best 7 ambient AI scribes

Ambient AI scribes automatically capture and transcribe patient-provider conversations during medical visits, transforming spoken words into structured clinical notes without manual typing. This guide compares the top 7 ambient AI scribe solutions for healthcare providers, covering key features, pricing, EHR integrations, and implementation considerations to help you choose the right documentation system for your practice.

Ambient AI scribe comparison table

What is an ambient AI scribe

An ambient AI scribe is a Voice AI system that automatically captures and transcribes patient-provider conversations during medical visits. These systems listen through smartphones, tablets, or other devices placed in exam rooms and convert spoken words into structured clinical notes.

The technology records the conversation between clinicians and patients. Voice AI models then process this audio to identify different speakers and extract important medical information.

Core components include:

• Speech recognition: Voice AI models convert spoken words into text, handling medical terms and natural conversation
• Speaker diarization: The system separates patient voices from provider voices to maintain proper context
• Clinical understanding: AI extracts diagnoses, medications, and symptoms from conversations
• Note generation: Automated creation of SOAP notes and other documentation formats
• EHR integration: Direct connection to electronic health records to save notes automatically

The process eliminates manual typing during visits. Clinicians can focus entirely on care while the AI handles documentation in the background.

Top 7 ambient AI scribe solutions

1. Microsoft DAX Copilot

Microsoft DAX Copilot combines Nuance's medical speech recognition expertise with Microsoft's cloud infrastructure. The system captures conversations and generates clinical notes automatically within seconds after visits end. It integrates deeply with Epic and other major EHR systems, and includes quality assurance reviews by medical documentation specialists.

Main features:

• Automated clinical documentation within EHR workflows
• Templates for over 40 medical specialties
• Mobile apps for iOS and Android
• Quality assurance by medical specialists
• Integration with Microsoft Teams for telehealth

Ideal for: Large health systems using Epic or supported EHRs, multi-specialty groups wanting standardized documentation, and organizations prioritizing vendor stability.

Pricing: Starts at $200 per provider monthly, with enterprise pricing for large deployments and additional costs for quality assurance services.

2. Ambience Healthcare

Ambience Healthcare's AutoScribe platform focuses on comprehensive ambient documentation with clinical decision intelligence. The system provides real-time coding suggestions, quality measure tracking, and automated prior authorization support. Its AutoCDI feature helps maximize reimbursement by ensuring complete documentation.

Main features:

• AutoScribe for real-time clinical documentation
• AutoCDI for documentation improvement and coding optimization
• Specialty modules for emergency medicine, cardiology, orthopedics
• Real-time clinical decision support
• Automated referral letter generation

Ideal for: Multi-specialty practices focused on revenue optimization, academic medical centers, and specialty practices in complex fields like cardiology.

Pricing: Custom enterprise pricing based on practice size, typically ranging from $300-500 per provider monthly, with implementation and training included.

3. Athelas Ambient AI

Athelas combines ambient documentation with practice management features for independent practices. Their system integrates with over 20 EHR systems and includes voice commands for hands-free operation during procedures. The platform emphasizes quick deployment with minimal training.

Main features:

• One-tap activation for instant documentation
• Voice commands for hands-free note editing
• Automated charge capture and billing optimization
• Patient instruction generation
• Integrated telehealth documentation support

Ideal for: Independent primary care and urgent care practices, clinicians wanting quick implementation without IT resources, and practices prioritizing billing accuracy.

Pricing: $149 per provider monthly, no setup fees or long-term contracts, 14-day free trial available.

4. Nabla

Nabla's Copilot offers an accessible entry point for practices exploring ambient documentation. The platform includes a generous free tier and supports over 30 languages for diverse patient populations. The system generates notes in under 30 seconds after encounters end and works alongside any EHR through its web interface.

Main features:

• Multi-language support for diverse communities
• Customizable note templates and formatting
• SOAP note generation with clinical summaries
• Patient instruction letters in multiple languages
• Web-based interface requiring no installation

Ideal for: Small practices and solo practitioners, clinics serving multilingual communities, and clinicians wanting to test ambient documentation before committing.

Pricing: Free tier with 30 consultations monthly, professional plan at $119 per provider monthly, enterprise pricing for larger organizations.

5. Tali AI

Tali AI focuses specifically on the Canadian healthcare market with deep integration into Canadian EHR systems. The platform complies with provincial privacy regulations and includes Canadian medical terminology. Tali works as a desktop assistant alongside existing EHR systems and combines ambient documentation with voice-enabled EHR navigation.

Main features:

• Voice-enabled EHR navigation and search
• Canadian medical terminology and billing code support
• Provincial privacy law compliance
• Medical reference search via voice commands
• Desktop-based solution for secure environments

Ideal for: Canadian family medicine practices, clinicians using Canadian EHR systems, and clinics requiring provincial regulatory compliance.

Pricing: $129 CAD per provider monthly, annual billing discounts available, 14-day free trial.

6. Heidi Health

Heidi Health provides an affordable ambient scribe with a permanently free tier for clinicians seeing fewer patients. The platform offers extensive customization for note templates and adapts to individual documentation styles. Heidi's AI learns from corrections to improve accuracy over time.

Main features:

• Customizable documentation templates
• Learning algorithm that adapts to clinician preferences
• Multiple note format options
• Basic billing code suggestions
• Web and mobile applications

Ideal for: Solo practitioners and small practices, clinicians wanting customizable documentation, and practices with variable patient volumes.

Pricing: Free tier for up to 10 consultations monthly, professional plan at $99 monthly, custom enterprise pricing available.

7. Athenahealth Ambient Notes

Athenahealth's Ambient Notes comes integrated with their athenaOne EHR platform, providing documentation without third-party integration. The system automatically populates relevant EHR fields and suggests billing codes based on documented services.

Main features:

• Native integration with athenaOne EHR
• Automatic field population in patient charts
• Suggested diagnosis and procedure codes
• Quality measure tracking and reporting
• Mobile and desktop compatibility

Ideal for: Current athenaOne customers, primary care practices using athenahealth, and organizations seeking single-vendor solutions.

Pricing: Included with athenaOne subscriptions, no additional per-provider fees, available to all athenaOne customers.

The AssemblyAI difference for teams building their own scribe

Most solutions above are finished products. If you're a healthcare technology company building a custom ambient scribe, the model underneath determines how good your notes can be, and the metric that matters is the Missed Entity Rate (MER): how often the model drops a medication, dosage, or diagnosis.

AssemblyAI's Medical Mode is domain-optimized for medical entity recognition, built on Universal-3 Pro and Universal-3 Pro Streaming. It catches terminology errors before they propagate into SOAP notes, discharge summaries, or downstream LLMs. Medical Mode posts a 3.2% MER, the lowest across benchmarked providers including Deepgram, Speechmatics Enhanced Medical, AWS Transcribe Medical, and Google, and catches roughly 20% fewer missed medical entities than Universal-3 Pro alone. You can review per-provider numbers on the benchmarks page.

Activation is one parameter, domain="medical-v1", which works on both async (Universal-3 Pro) and real-time (Universal-3 Pro Streaming). Medical Mode is a $0.15/hr add-on on top of Universal-3 Pro at $0.21/hr, for $0.36/hr combined, and it supports English, Spanish, German, and French for pre-recorded and streaming audio.

How ambient AI scribes transform healthcare documentation

Healthcare providers spend hours weekly on documentation, much of it after clinic hours. Ambient AI scribes change this by capturing clinical encounters automatically while clinicians focus entirely on care.

The transformation begins when clinicians stop dividing attention between computer screens and patients. Eye contact returns to exam rooms, and conversations flow naturally without typing interruptions.

Key benefits include:

• Time savings: Clinicians save hours daily on documentation tasks
• Improved patient engagement: More eye contact and natural conversation during visits
• Reduced burnout: Elimination of after-hours charting and weekend documentation
• Better documentation quality: More comprehensive capture of clinical details and concerns
• Revenue optimization: Complete documentation supports appropriate coding and reduces claim denials

The technology restores the human connection in healthcare by removing the barrier of simultaneous documentation and interaction. Physicians report higher job satisfaction when they can focus on patient care rather than data entry.

Key features of ambient AI scribes

Modern ambient AI scribes go beyond simple transcription. These systems understand medical context, recognize clinical patterns, and generate documentation that meets regulatory requirements.

Core documentation features:

• Real-time transcription with minimal delay for live documentation
• Automatic SOAP note structuring without manual formatting
• Specialty-specific templates for different medical fields
• Multi-language support for diverse patient populations

Clinical intelligence capabilities:

• Medical entity detection for diagnoses, medications, allergies, and procedures
• ICD-10 and CPT code suggestions based on documented services
• Clinical decision support alerts for potential issues
• Quality measure tracking for reporting programs

Workflow integration options:

• Direct EHR write-back via standard healthcare data formats
• Mobile and desktop compatibility for flexible documentation
• Offline mode for areas with limited internet connectivity
• Team collaboration features for multi-provider encounters

The most advanced systems incorporate large language models to understand context and generate natural, comprehensive notes. Accurate entity capture up front, like the kind Medical Mode provides, gives those LLMs cleaner text to work with.

EHR integration and implementation considerations

Successful deployment requires planning around technical infrastructure, security compliance, and workflow optimization. Organizations must evaluate their existing EHR capabilities and clinician readiness before implementation.

Integration complexity varies depending on the chosen solution and existing technology. Some solutions offer native EHR integration while others require API connections or third-party middleware.

Technical requirements include:

• API compatibility with existing EHR systems
• Network bandwidth for real-time audio streaming
• Device requirements including mobile compatibility
• Audio capture quality with noise cancellation

Security and compliance essentials:

• Business Associate Addendum execution for handling PHI
• Security certifications and audit capabilities
• Data retention policies aligned with regulations
• Access controls and user authentication

Training and adoption strategies:

• Onboarding covering activation and review workflows
• Workflow optimization to maximize efficiency gains
• Success metrics tracking including time savings and quality
• Change management support for hesitant adopters

AssemblyAI enables covered entities and their business associates subject to HIPAA to use AssemblyAI services to process PHI. AssemblyAI is considered a business associate under HIPAA and offers a Business Associate Addendum (BAA) required under HIPAA.

Choosing the right ambient AI scribe for your practice

Selecting an ambient AI scribe requires matching solution capabilities to your specific needs, technical environment, and budget. Start by evaluating current documentation pain points and identifying which features would provide the most value.

Practice size significantly influences the optimal choice. Solo practitioners might prioritize affordability and simplicity, while large health systems need enterprise features and robust support.

Key decision factors:

• EHR system compatibility and integration complexity
• Total cost including licensing and implementation
• Specialty-specific features and template availability
• Vendor stability and long-term viability
• Support quality and availability

Budget considerations extend beyond monthly fees to include implementation costs, training time, and potential productivity impacts during adoption. For healthcare technology companies building custom ambient scribe solutions, AssemblyAI provides Voice AI models with medical entity accuracy and flexible integration options that adapt to specific workflow requirements.

Frequently asked questions

How accurate is AssemblyAI on medical terminology compared to Deepgram Nova-3 Medical, Amazon Transcribe Medical, and Whisper?

With Medical Mode, AssemblyAI posts a 3.2% Missed Entity Rate, the lowest across benchmarked providers. Deepgram Nova-3 Medical lands around 8.7% MER and AWS Transcribe Medical around 24.4% MER on the same benchmark. Full methodology, including how each provider was tested, is on the benchmarks page.

How do I turn on Medical Mode and what does it cost?

Add one parameter, domain="medical-v1". It works on Universal-3 Pro (async) and Universal-3 Pro Streaming (real-time). Medical Mode is a $0.15/hr add-on, so with Universal-3 Pro at $0.21/hr it comes to $0.36/hr.

Which languages does Medical Mode support?

English, Spanish, German, and French, for both pre-recorded and streaming audio.

Can AssemblyAI redact PHI and PII from transcripts?

Yes. AssemblyAI offers PII redaction that removes sensitive entities such as names, dates, and medical conditions from transcripts and audio, helping you minimize the PHI stored downstream.

Does AssemblyAI support HIPAA requirements for ambient scribes?

AssemblyAI enables covered entities and their business associates subject to HIPAA to use AssemblyAI services to process PHI. AssemblyAI is considered a business associate under HIPAA and offers a Business Associate Addendum (BAA) required under HIPAA.

What's the difference between a finished scribe product and building on AssemblyAI?

Products like DAX Copilot or Nabla are complete applications you buy per provider. AssemblyAI provides the underlying Voice AI, including Medical Mode, so you can build a custom scribe with your own templates, EHR integrations, and workflow, and control the per-hour cost directly.

Building at enterprise scale and need to scope EHR integration, security reviews, and BAAs? Contact the AssemblyAI team at https://www.assemblyai.com/contact.