Heidi AI Review 2026: Features, Pricing & Verdict

Heidi AI is one of the most talked-about AI medical scribes of 2026, but most reviews you find are written by rival scribe companies that end by selling you their own tool. This Heidi AI review takes a different approach. At aiera.blog, we cover AI tools with a governance-first, no-affiliate lens, so what follows is an independent look at what Heidi does, what it costs, how it handles patient data, and who it actually fits.

Quick note on names: “Heidi AI” refers to Heidi Health, an ambient AI scribe for clinicians. It is not the same as Aiera, a separate financial-transcription platform. This article is about the healthcare tool.

What is Heidi AI?

Heidi AI is an ambient AI medical scribe built by Heidi Health, an Australian health-technology company founded in 2019 in Melbourne (originally launched as Oscer). The tool listens to a patient consultation, transcribes it, and turns the conversation into a structured clinical note without the clinician typing during the visit.

It works in person and over telehealth, and it can also draft referral letters, patient summaries, and discharge notes. Heidi runs on the web, on Windows and macOS desktop apps, and through a Chrome extension for web-based electronic health record (EHR) systems. According to the company, the platform now supports more than 2.4 million consultations every week and handles 110+ languages, which is one of the widest language ranges in the category. For a broader picture of how tools like this fit into daily work, see our independent AI tool reviews.

Heidi AI key features

Heidi’s feature set is focused on documentation first, with a growing set of add-ons around it:

• Ambient documentation — records the consult and generates a structured note automatically.
• Ask Heidi — a conversational assistant that drafts referral letters, summaries, and edits notes on request.
• Templates and shortcuts — reusable templates, custom headings, snippets, and shared team formats.
• Coding suggestions — ICD-10 and SNOMED code suggestions inside the note (paid plans; the clinician confirms manually).
• Multilingual support — 110+ languages, including notes generated in a different language from the spoken consult.
• Heidi Evidence — clinical decision support launched in early 2026, with citations from sources like BMJ and NICE.

The standout is language coverage. For clinics serving multilingual patients, this is Heidi’s strongest differentiator. The coding and evidence features are useful but sit behind paid tiers, and both still require the clinician to review and confirm the output.

Heidi AI pricing in 2026

Heidi restructured its pricing in early 2026, and many older reviews now show outdated numbers. The main paid plan roughly doubled during a February 2026 rebrand. Here is the current lineup, verified as of August 2026. Because pricing changes often, confirm the latest figures on Heidi’s official site before you subscribe.

• Free — $0/month with 10 “Pro Actions” per month. Best for testing the tool.
• Evidence Plus — around $40/user/month. For solo clinicians who want the evidence features.
• Clinician — $150/user/month billed annually. The main plan for regular individual users.
• Practice — a higher tier that adds EHR integrations, for clinics needing push-to-chart.
• Enterprise — custom pricing, with SSO and an organization-wide BAA for large teams.

Two things matter here. First, the free plan gives unlimited basic notes but caps “Pro Actions” (template customization and Ask Heidi prompts) at 10 per month, which most active clinicians hit quickly. Second, EHR push-to-chart is not included on the Free or Clinician plans; native write-back starts at the Practice tier and above. At $150 per user per month, Heidi sits in the upper half of the AI scribe market, so the value depends heavily on how much you use the paid features.

Is Heidi AI safe and HIPAA compliant?

For a tool that handles patient conversations, this is the section that matters most, and it is where competitor reviews tend to move fastest. Here is the plain-language version.

Heidi states that it complies with HIPAA, along with ISO 27001 and SOC 2 Type II, the two common security-management and data-handling standards. In simple terms:

• HIPAA is the US rule for protecting patient health information.
• ISO 27001 is an international standard for how a company manages information security.
• SOC 2 Type II checks whether those security controls actually work over time, not just on paper.

Heidi also makes a Business Associate Agreement (BAA) available on paid plans, which is the contract US clinics need before a vendor can process patient data. The company says consultation audio is not stored after transcription. That reduces exposure, but clinicians are still responsible for patient consent and for confirming that their specific plan includes a signed BAA. If data handling is a deal-breaker for your practice, verify these details directly with Heidi rather than relying on any review, including this one.

Heidi AI pros and cons

Independent user reports and a 2025 KLAS Research spotlight give a balanced picture. US organizations told KLAS that Heidi reduced documentation time and improved note accuracy, while flagging EHR integration as an area needing work.

Pros:

• Genuinely useful free tier for testing.
• Broadest language support in the category (110+).
• Strong template customization and shortcuts.
• Documented HIPAA, ISO 27001, and SOC 2 Type II compliance.

Cons:

• Notes are roughly 80% ready and still need human review and edits.
• The $150 Clinician plan is expensive versus many alternatives.
• EHR write-back is locked to higher tiers.
• No adaptive learning that adjusts to your personal note style.
• Users report slow support and occasional app reliability issues.
• Accuracy weakens on complex multi-problem visits.

Who should use Heidi AI?

Heidi fits best in high-volume outpatient settings, primary care, family medicine, and mixed clinical teams, and it is a strong pick for clinics serving multilingual patients. It is a weaker fit if you need affordable EHR write-back, if you work in a narrow specialty needing tailored note structures, or if you want a scribe that learns your personal style over time. As with any AI tool, test it against your real workflow before committing budget. Our approach to that kind of hands-on, honest testing is worth a read if you evaluate software regularly.

Verdict: Is Heidi AI worth it in 2026?

Heidi AI is a capable, well-secured ambient scribe with class-leading language support and a free tier that lowers the barrier to entry. The main hesitations are the higher Clinician price after the 2026 rebrand, EHR write-back being gated to upper tiers, and the manual review every note still needs. If multilingual documentation and a solid free trial matter most to you, Heidi is worth testing. If budget and EHR integration are your priorities, compare it against cheaper alternatives before deciding.

Frequently asked questions

Is Heidi AI HIPAA compliant?
Heidi states it complies with HIPAA and offers a Business Associate Agreement on paid plans. It also lists ISO 27001 and SOC 2 Type II certifications. Confirm your specific plan includes a signed BAA before clinical use.

Is Heidi AI free?
Yes, Heidi offers a free plan with unlimited basic notes and 10 “Pro Actions” per month. Paid plans start higher, with the Clinician plan at $150 per user per month billed annually.

Does Heidi store my consultations?
Heidi states that consultation audio is not stored after it is transcribed into a note. For exact data-retention terms, check Heidi’s official privacy documentation.

What is Heidi AI used for?
Clinicians use Heidi to transcribe patient consultations and generate structured clinical notes, referral letters, and summaries, reducing time spent on manual documentation.

Disclaimer: This is an independent review published by aiera.blog and is not medical, legal, or clinical advice. Pricing and compliance details change; verify all figures on Heidi’s official site before making a decision. Reviewed and edited by the aiera.blog editorial team.