Heidi Health vs Scriber — Which AI Medical Scribe Is Right for You?

Heidi Health is one of the better-funded and most widely promoted AI scribe platforms in the market. Originally built in Australia, it has expanded aggressively into the UK and the United States and is a common name in discussions about AI-assisted clinical documentation across multiple specialties. Scriber is purpose-built for behavioral health, psychiatry, and telehealth clinicians in the US. They overlap for a segment of clinicians — psychiatrists, psychiatric NPs and PAs, and behavioral health practices inside larger health systems — but their core design audiences are different.

This page compares them honestly, including where Heidi has the stronger position. If you are evaluating Heidi against Scriber, or currently using one and considering the other, the goal is enough accurate information to make the right decision for your practice.

Quick verdict

Choose Heidi Health if you practice in a broad-medical specialty, particularly in Australia or the UK where Heidi has strong market presence and community support, or if you want a well-funded platform with a broad clinical feature set that spans documentation, note generation, and clinical AI more generally. Choose Scriber if your caseload is behavioral health, psychiatry, substance use disorder, or therapy in the US — Scriber's note formats, clinical vocabulary handling, and modality depth are built for that work — or if you use Doxy.me for telehealth and need a direct integration rather than a separate workflow. Scriber also provides clearer BAA terms for US clinicians out of the box.

Side-by-side comparison

Feature	Heidi Health	Scriber
Free tier	Yes	No (7-day trial)
Primary geographic market	Australia, UK, US (expanding)	US
BAA at signup (all tiers)	Less clearly surfaced — verify directly	Yes
Audio retained after note	No (per policy)	No
Primary target specialty	Broad medical (generalist)	Behavioral health, psychiatry, SUD, therapy
Direct EHR integrations	Copy-paste optimized	Copy-paste compatible; Doxy.me direct
Direct telehealth integration	No	Yes — Doxy.me (shipped April 2026)
Note formats supported	SOAP, HPI, referral letters, clinical correspondence, medical	SOAP, DAP, BIRP, GIRP, SIRP, intake, biopsychosocial, treatment plan, mental status exam, discharge, psychotherapy, psychiatry
Number of STT engines	Not publicly disclosed	7 (xAI, Azure, MAI, Speechmatics, Deepgram, AssemblyAI, Microsoft AI)
Multi-language support	Yes	Yes (engine-dependent)
Custom templates	Yes	Yes
Behavioral-health note depth	Generalist (not specialized)	Core focus — CBT, DBT, EMDR, modality-specific formats
Group / practice features	Available	Active Phase 1 roadmap investment

Where Heidi Health wins

Heidi Health has built genuine advantages, particularly in markets and settings outside the US behavioral health space.

Brand recognition and funding. Heidi Health is one of the most widely discussed AI scribe platforms in the market, with a well-funded team, active product development, and meaningful presence in medical communities in Australia and the United Kingdom. In those markets its brand recognition translates to peer recommendations, community discussion, and broader third-party coverage. For US clinicians, this means more findable reviews, more forum discussions, and more word-of-mouth evidence of real-world use in broad-medical settings than Scriber can currently claim. If peer adoption evidence and external validation are meaningful factors in your evaluation process, Heidi has a more extensive public footprint.

Breadth of clinical AI features. Heidi has positioned itself as a broad clinical AI platform rather than purely a note-generation scribe. That positioning means it invests in capabilities beyond transcription and note drafting — clinical correspondence, referral letters, patient summaries, and documentation across a wider set of clinical encounter types. For a general practice physician or a hospitalist who needs to generate several different types of clinical documents in a single day, Heidi's breadth can be an advantage. Scriber's investment in depth over breadth means it produces exceptional behavioral health and psychiatric documentation, but clinicians with highly varied documentation needs across medical specialties may find Heidi's wider surface more useful.

Generalist medical vocabulary. Heidi's training and optimization covers a broad range of medical specialties — general practice, internal medicine, emergency medicine, surgery — at a level of depth that reflects its market footprint. For a clinician whose practice spans both primary care and behavioral health, Heidi's generalist strength is a real advantage. Scriber's vocabulary and context handling is strongest in behavioral health; clinicians doing a mix of medical and behavioral documentation may find Scriber stronger on the behavioral side and Heidi stronger on the medical side.

International compliance infrastructure. For clinicians practicing in Australia or the UK, Heidi's compliance framework is designed for those regulatory environments — the Australian Privacy Act, NHS data handling requirements — in ways Scriber has not prioritized. Heidi also claims ISO 27001 certification, which is a recognized international security standard. For US clinicians, these certifications are less directly relevant than HIPAA compliance, but they signal the level of security investment Heidi has made in its infrastructure overall.

Active product development cadence. Heidi's funding and team size mean it is shipping new features at a high cadence. The platform is not static. Features that are absent today may appear within a product quarter. For clinicians making a multi-year vendor decision, Heidi's resource base gives it the capacity to add capabilities faster than smaller competitors can match.

Where Scriber wins

Scriber's advantages are most concrete for US behavioral health and telehealth clinicians, and in specific areas of product depth that Heidi has not prioritized.

Behavioral-health note specialization. Scriber's core formats — DAP, BIRP, GIRP, SIRP — are the note formats behavioral health clinicians actually use. Its clinical vocabulary handling reflects the specific language of behavioral health practice: DSM-5 diagnostic phrasing, trauma-informed documentation conventions, modality-specific language for CBT, DBT, and EMDR sessions, suicidality and risk assessment language, medication management documentation for psychopharmacology. A therapist, LCSW, LMFT, or psychiatrist will notice this specialization in the draft note quality. Heidi's generalist orientation serves the broad-medical market well; it was not designed with behavioral-health documentation as a primary optimization target. For clinicians whose entire caseload is behavioral health, that distinction matters in daily use.

Direct Doxy.me telehealth integration. As of April 2026, Scriber is the only AI scribe with a direct integration into Doxy.me. The clinician launches the Doxy session from inside Scriber; audio from the call flows into the transcription and note-generation pipeline without a second device, a screen-recording workaround, or a copy-paste step at session end. Heidi does not have a Doxy.me integration — users on both platforms who conduct telehealth via Doxy must run the scribe separately and reconcile note content manually. For clinicians who see patients via Doxy.me — a common telehealth platform in US behavioral health and community mental health — this integration difference is operational, not cosmetic. It removes a manual step from every session.

Seven STT engines with measurable speed benchmarks. Scriber exposes seven speech-to-text engines on a single subscription: xAI, Azure Speech, Microsoft AI, Speechmatics, Deepgram, AssemblyAI, and MAI. Clinicians can switch between them per session based on audio conditions, vocabulary needs, or speed requirements. Heidi does not publicly disclose its transcription engine infrastructure. The practical value of engine flexibility is real: Deepgram and AssemblyAI perform well on accented English and conversational speech; Azure and Microsoft AI offer medical vocabulary tuning; xAI processes a 50-minute session in approximately 3.05 seconds in Scriber's internal benchmarks, compared to approximately 5.36 seconds for Speechmatics and 5.44 seconds for Azure. In a clinic running back-to-back 50-minute behavioral health sessions, that speed difference is noticeable across a full day.

BAA clarity for US clinicians. Scriber provides a Business Associate Agreement to every user at signup, at every tier, with no enterprise gating. Heidi's BAA terms for US clinicians are less clearly surfaced in their public documentation as of this writing. For US clinicians with HIPAA obligations — which is every behavioral health clinician processing patient session data — BAA accessibility at the point of signup matters. Getting a BAA from Heidi may require a direct request or a specific pricing tier depending on their current policy; prospective users should verify this before processing PHI. Scriber removes this friction entirely.

US-market focus. Scriber is built for the US market, which means its compliance defaults, its data residency, its BAA structure, and its content (note formats, regulatory guidance, compliance documentation) reflect US HIPAA and behavioral health regulatory requirements. Heidi's regulatory defaults reflect its Australian and UK origins; US-specific compliance infrastructure exists but is a secondary motion rather than the primary one. For US behavioral health clinicians with HIPAA obligations, the vendor whose regulatory defaults are US-native carries a lower compliance maintenance burden.

Pricing

Heidi Health's Pro plan is approximately $99 per month. Heidi Health offers a free tier; Scriber offers a 7-day trial. See scriberapp.com/pricing for current Scriber plan pricing.

For group pricing, both tools offer custom quotes through a sales process. If you are pricing for a team of five or more clinicians, request quotes from both vendors rather than extrapolating from published solo rates.

Compliance

Both Heidi Health and Scriber are HIPAA-compliant platforms. Both delete session audio after note generation and do not retain audio for model training. Both use encryption in transit and at rest.

The key difference is BAA accessibility. Scriber provides a BAA to every user at every tier at the point of signup — no enterprise gating, no request process required. Heidi Health's BAA availability for US clinicians should be confirmed directly with Heidi before processing patient data, particularly if you are on a free or entry-level plan. This is not a judgment on Heidi's security practices — their infrastructure investment is real — but it is a process friction point that US clinicians on HIPAA obligations should resolve before use.

One Scriber-specific caveat: the xAI transcription engine is available on Scriber but is disabled for production use by default until a separate BAA covering xAI's infrastructure is executed. All other Scriber engines — Speechmatics, Microsoft AI, Azure Speech, MAI, Deepgram, AssemblyAI — are BAA-covered under the standard signup agreement. Clinicians who want to use xAI for PHI-containing sessions should confirm BAA coverage before enabling that engine.

For clinicians in substance use disorder treatment, Scriber's audio-deletion defaults are compatible with 42 CFR Part 2 requirements. Clinicians in states with mental health privacy rules more restrictive than HIPAA — California, New York, Illinois, Massachusetts — should review state-specific requirements with their compliance officer rather than relying on a general HIPAA certification from either vendor.

When to pick Heidi Health over Scriber

Your practice is in Australia or the UK, where Heidi has strong market presence, established community support, and a compliance framework aligned to those regulatory environments.
Your caseload spans multiple medical specialties — general practice, internal medicine, emergency medicine — and you need a generalist clinical AI platform rather than a behavioral-health specialist.
You want a well-funded platform with a broad clinical AI feature set and a high product development cadence, and you are willing to pay the Pro tier price for that breadth.
You do not use Doxy.me for telehealth and the direct integration is not a factor in your decision.
Your organization requires ISO 27001 certification as a vendor prerequisite, and Heidi's international security certifications satisfy that requirement.
Peer adoption evidence in the broad-medical community matters to your decision and you want a vendor with more established third-party coverage and community discussion.

When to pick Scriber over Heidi Health

Your caseload is behavioral health, psychiatry, therapy, or substance use disorder — DAP, BIRP, GIRP, and biopsychosocial documentation are your daily work, not an occasional note format.
You use Doxy.me for telehealth and want a direct integration rather than running two tools in parallel. Scriber is the only AI scribe with a Doxy.me integration as of April 2026.
Transcription speed and engine flexibility matter. Scriber's seven STT engines include xAI at approximately 3 seconds per 50-minute session, and you can switch engines per session based on conditions.
You practice in the US and want a vendor whose BAA is available at signup on every tier without a request process or enterprise negotiation.
You run a group behavioral health practice and want a vendor actively investing in multi-clinician features, supervision workflows, and group-admin tooling.

Try both before you commit

Both tools offer free access. A week of real sessions through each product — your actual caseload, your actual note formats, your actual telehealth platform — will reveal more than any comparison page can. The note quality difference between scribes is most visible on your specific session content: the vocabulary your patients use, your preferred clinical framing, the note format your payer or supervisor requires.

Start a free Scriber account at scriberapp.com/register. No credit card required. If you use Doxy.me, test the direct integration on your first session. If you are evaluating Heidi in parallel, run the same session type through both tools and compare the draft notes side by side. The right answer is the one that produces a note you want to sign, consistently, across your caseload.

Heidi Health vs Scriber