Doctors now spend nearly two hours on documentation for every hour of direct patient care, according to a 2025 UCLA Health study published in NEJM AI. AI scribes are no longer a nice-to-have. For many practices, they have become a practical response to growing documentation demands.

The challenge is choosing the right one.

Heidi Health is best known for accessible ambient documentation, multilingual support, and ease of adoption, while Suki AI focuses on broader clinical workflows with coding support, order staging, structured data generation, and deep EHR integration.

The gap appears in specialty care, where clinicians often need historical chart context, longitudinal documentation, and specialty-specific workflows. Marvix AI is designed around those needs, combining Patient Recap summaries, Composite Notes, Deep 2-Way EHR Integration, Multi-User Collaboration, and Automatic Coding with MDM Rationale.

This guide compares Heidi Health and Suki AI along with Marvix AI, examines where each stands out, highlights their limitations, and identifies the practice types each serves best.

What Is Heidi Health?

Heidi Health is an AI medical scribe and documentation platform founded in Australia. It is widely used across Australia, the UK, and parts of Europe. The platform supports more than 110 languages and focuses on turning patient conversations into structured clinical notes, referral letters, summaries, and other documents.

Heidi's biggest strength is simplicity. It is quick to set up, easy to customize, and well suited to outpatient practices that want faster documentation without major workflow changes.

Heidi is built as a general clinical documentation platform. Its focus is helping clinicians create notes, letters, summaries, and other documents faster rather than supporting specialty-specific clinical workflows.

One limitation appears during longer and more complex encounters. Several Trustpilot reviewers report that Heidi can merge separate problems into a single narrative and miss clinical details that require additional editing. At the time of writing, Heidi holds a 3.3/5 rating on Trustpilot.

Pricing starts with a free plan that includes 10 Pro Actions per month. Paid plans start at $30 per clinician per month with annual billing.

What Is Suki AI?

Founded in 2017 by Punit Soni, a former Google product executive, Suki AI is headquartered in Redwood City, California. The platform goes beyond ambient scribing with voice-powered EHR navigation, order staging, patient chart queries, lab result retrieval, and coding assistance. It supports more than 100 specialties and serves over 400 health systems and healthcare organizations.

Suki is not a plug-and-play documentation tool. Many of its strongest capabilities depend on deep EHR integration and workflow configuration. The platform is geared toward larger organizations that can support implementation, deployment, and ongoing workflow management across teams.

The company does not publicly disclose standard pricing. According to Scribing, Suki AI uses a per-provider, per-month subscription model with two primary tiers: Suki Compose at roughly $299 per provider per month and Suki Assistant at roughly $399 per provider per month. Enterprise customers receive custom pricing. No self-serve trial is available, and organizations must contact the company for a quote.

Heidi vs Suki: Head-to-Head Comparison

Note: Product features, integrations, pricing, and availability are based on publicly available information and vendor materials available at the time of writing and may change without notice.

1. Note Quality and Accuracy

• Heidi performs well during straightforward outpatient visits. According to Vero Scribe, note quality can decline during longer, multi-problem encounters, with some users reporting conflated problems and missed clinical details.
• Suki reports 99% dictation accuracy, according to AI Chief. This figure refers to its speech recognition engine rather than the final clinical note. Clinicians still need to review and refine generated documentation.
• Neither platform eliminates the need for clinician oversight. Documentation quality still depends on review, editing, and clinical judgment.
• Marvix AI reports 99% accuracy and is pre-trained on specialty-specific clinical data. Its documentation framework is designed around complex care journeys, allowing notes to evolve across diagnosis, treatment, and follow-up visits rather than treating each encounter as an isolated event.

2. EHR Integration

• Heidi integrates with a range of healthcare systems and practice management platforms. According to DeepCura, some advanced EHR functionality and chart write-back capabilities depend on higher-tier plans.
• Suki offers deep integrations with major enterprise EHRs including Epic, Oracle Health, athenahealth, and MEDITECH. Its strongest deployments are within larger health systems.
• Both platforms perform best inside their preferred environments rather than across every practice setting.
• Marvix AI provides deep 2-way EHR integration with AthenaOne, Epic, AdvancedMD, Charm Health, DrChrono, Greenway, Veradigm, eClinicalWorks and others. The platform pulls historical chart data and pushes structured documentation directly back into the EHR.

3. Specialty Fit and Use-Case Match

• Heidi is well suited to multilingual clinics, general outpatient care, and practices seeking a documentation-first platform.
• Suki fits large health systems that want coding support, structured data generation, and EHR-connected workflows.
• Mid-sized specialty practices often need deeper specialty workflows than Heidi provides and lower cost and deployment complexity than Suki requires.
• Marvix AI is built specifically for specialty care workflows and supports more than 135 specialties and subspecialties. Its documentation architecture is designed around longitudinal care, follow-up visits, diagnostics, and evolving treatment plans suitable for small, mid-size and large organisations.

4. Support and Reliability

• According to Vero Scribe, Heidi's free plan relies primarily on AI-powered support, and some users have reported concerns around reliability and response times.
• Suki provides enterprise-level support through its organizational deployments and contract-based customer relationships.
• Marvix AI provides guided onboarding, implementation support, and 24×7 customer assistance to support adoption and ongoing use.

Where Both Tools Fall Short: The Honest Verdict

Heidi and Suki approach clinical documentation from opposite directions, yet both leave important gaps.

Heidi is strongest as a documentation platform. Its challenge is breadth. The platform focuses heavily on note creation, templates, and document generation, but offers less support for longitudinal specialty workflows that require historical context across diagnosis, treatment, and follow-up visits.

Suki's challenge is accessibility. The platform is geared toward health systems with mature EHR infrastructure, dedicated implementation resources, and larger budgets. For many independent practices and specialty groups, the cost and deployment model can be difficult to justify.

This is where Marvix AI stands apart. It combines specialty-specific workflows, deep 2-way EHR integration, Patient Recap summaries, Composite Notes, and coding support into a single platform built for practices that need more than documentation but less complexity than an enterprise deployment.

Why Marvix AI Is Worth Considering Instead

Marvix AI serves a segment that often gets overlooked in AI scribe comparisons: independent practices, specialty groups, and multi-provider clinics that need more than basic documentation.

Key differentiators include:

• Built for specialty care workflows: Marvix AI supports more than 135 specialties and subspecialties. Its Specialty-Grade Clinical Note Architecture separates clinical data, diagnostics, assessments, orders, and guideline-based reasoning into structured sections that evolve across diagnosis, treatment, and follow-up visits.
• Deep 2-Way EHR Integration: Marvix AI integrates with AthenaOne, Epic, AdvancedMD, Charm Health, DrChrono, Greenway, Veradigm, and eClinicalWorks. The platform pulls historical patient data from the chart and pushes finalized documentation back into the EHR in the provider's preferred format.
• Patient Recaps and Composite Notes: Marvix AI generates a chronological Patient Recap summary that brings together prior notes, labs, imaging, medications, and key clinical events of the patient’s history. It then combines that historical context with the current visit’s note to generate a Composite Note.
• Multi-User Collaboration: Physicians, medical assistants, and scribes can work within the same visit note simultaneously. Marvix AI records who made each contribution and attaches timestamps to support transparency and accountability.
• Automatic Coding with MDM Rationale: Marvix AI generates E/M levels and ICD-10 codes supported by explicit MDM justification and modifiers, allowing clinicians to see how the documentation supports the selected coding level.
• Transparent pricing: Plans start at $95 per provider per month, with pricing publicly available for practices of different sizes and a 30-day free trial. There is no requirement for enterprise contracts or custom pricing discussions before evaluating the platform.

Marvix AI is best suited to practices that need specialty-aware documentation, historical chart context, and deep EHR connectivity without the deployment model often associated with large health systems.

If you're evaluating AI scribes for your practice, Marvix AI offers a 30-day free trial with EHR integration for your entire team. Book your demo today.

Conclusion

Heidi Health and Suki AI are both established AI scribes, but they serve different audiences. Heidi is a strong fit for multilingual clinics and practices seeking a documentation-first platform. Suki is better suited to large health systems that want deep EHR workflows, coding support, and enterprise-scale deployment.

Many independent practices and mid-sized specialty groups sit between those two categories. They often need more clinical depth than Heidi provides and a simpler deployment model than Suki requires.

For those practices, the conversation should not stop at Heidi vs Suki. Marvix AI is built specifically for specialty care workflows and combines Deep 2-Way EHR Integration, Patient Recaps, Composite Notes, Multi-User Collaboration, and Automatic Coding with MDM Rationale into a single platform.

While no AI scribe replaces clinical judgment, the goal is to reduce documentation time, not eliminate clinician oversight.

Not sure which platform fits your workflow? Marvix AI offers a 30-day free trial with EHR integration so you can evaluate it in your own clinical environment.