7.7 Overall
HEIDI

Heidi Health

Recommend Scored Oct 2026

Heidi Health is an AI medical scribe that turns a recorded consultation into a clinical note, referral letters, and patient handouts, with a free plan for individual clinicians.

heidihealth.com

Strong fit

  • Independent clinicians and small groups who want to try an AI scribe free before paying
  • Practices in the United States, Canada, the United Kingdom, Australia, and New Zealand that see patients in more than one language
  • Clinicians who want notes, referral letters, and patient handouts drafted from the same consultation

Weak fit

  • Health systems that need deep Epic write-back from an enterprise vendor with long U.S. references
  • Organizations that do not allow clinicians to sign up for software on their own
  • Behavioral health programs that need every note checked for Medicaid compliance
Heidi Health product interface

Bottom line

Heidi Health is a Melbourne, Australia company that makes an AI medical scribe. Clinicians record the consultation, and Heidi drafts the clinical note, referral letters, and patient handouts for them to review and edit. Many independent clinicians start on its free plan, and paid plans add more usage, team controls, and EHR integration.

Score breakdown

7.7
Documentation time outcomes
7.8
Ambient scribe product
8.0
Getting clinicians started
7.3
Knowing what you will pay

Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.

Heidi Health was co-founded by Dr. Thomas Kelly, who trained as a doctor in Melbourne and left vascular surgery training in 2021 to build the company. Heidi listens to the consultation and drafts SOAP-style notes, referral letters, and patient handouts. The company says it transcribes dialogue in more than 110 languages and sells in the United States, Canada, the United Kingdom, Australia, and New Zealand.

Heidi raised a $65 million Series B in October 2025. Paid Clinician and Teams plans sit above a free plan that many independent clinicians use to start.

Compare Freed when a U.S. small practice wants a paid scribe with simple setup, Tali AI when a Canadian clinic runs Accuro or PS Suite, and Suki when a health system wants ambient notes and dictation from one vendor.

Competitor landscape

VendorOverallEase of implementation
Abridge8.47.8
Freed8.07.6
Suki7.87.6
Heidi Health7.78.0
Ambience7.67.3
Nabla7.67.2
Eleos Health7.47.0
DeepScribe7.37.0
Tali AI6.87.2

Pricing

ItemDetail
ModelFree plan, a paid Clinician plan with a 14-day free trial, and Teams plans for organizations that are priced by quote.
What usually drives costSeat type (Standard or Max), the monthly usage allowance for agents and advanced features, team controls, and EHR integration.
What to ask in diligenceThe Clinician plan price in your country, what the usage allowance covers, and a Teams quote that includes EHR integration.
Published pricingPlans and features are listed on heidihealth.com/pricing; Teams is by quote.

Prerequisites for purchase

NeedWhy it matters
What you need to get Heidi Health to function
Rules for clinicians signing up on their ownFree sign-ups can spread before IT has reviewed them.
Patient consent wording for recordingClinicians need the same script in every room.
Note templates for each specialtyGeneric notes need heavy editing.
Decision on where notes are storedRetention settings differ by plan.
EHR integration scope if on TeamsCopy and paste does not scale across a group.
What will maximize your value
Move active free users onto one Teams accountCentral billing and controls replace scattered accounts.
Share templates across the teamEveryone edits less.
Track after-hours charting before and afterShows whether time came back.
Deal-breakers
No consent process for recording
Policy bans self-serve software
Needs proven Epic enterprise references

Value creation time frame

#StageTypical range
1Free trial with a few clinicians1-2 weeks
2Teams setup and templates2-4 weeks
3Group rollout4-8 weeks
Methodology
WeightFactorWhat it measures
35%Customer outcomesWhether buyers get measurable operational or clinical-workflow results after go-live
30%ProductCapability depth, reliability, and fit for the job the category actually buys
20%ImplementationHow hard it is to stand up, integrate, train, and stabilize
15%Pricing clarityWhether a buyer can model total cost without a mystery quote
LabelMeaning
Highly recommendStrong outcomes and product with manageable caveats
RecommendSolid fit for the right buyer; know the tradeoffs
ConditionalOnly with a specific use case or heavy caveats
Not recommendedAvoid for most buyers in this category

Read our full methodology for how we weight scores and assign recommend labels.