Heidi powers the largest AI scribe procurement in NHS history. 70,000 Clinicians. 15 NHS Trusts. 1,200+ GP Practices. Learn more.
Dictate anywhere on your screen, capture telehealth audio straight from the call,
and skip the second login.
Nikki Zurbano
Fact checked by Shine Colcol
Nabla Copilot is an ambient AI scribe that transcribes patient visits and drafts structured clinical notes from the audio. It claims to cut down the time clinicians spend typing notes after a visit.
It runs on the microphone in your existing device. There’s no dedicated hardware, which means audio quality depends on the conditions of the room.
In this article, we’ll look at how Nabla compares to Heidi across features that matter in practice, and why clinicians choose Heidi.
The cost of Nabla Copilot is influenced by several clinical and operational variables from subscription tier to clinic environment and team size. These factors determine not only the final monthly expense but also the actual efficiency gains realized by care teams.
Comparing different Nabla Copilot alternatives ensures that clinicians have a frame of reference so that they can obtain a tool that best fits their practice. Solutions are shifting beyond transcription to support broader documentation workflows.
Here are the factors that determine whether a solution is the right fit for a medical workflow:
Clinicians today look for an AI partner that speeds up their documentation workflow, one that relieves the cognitive burden of admin. Nabla has been a familiar presence in the scribe space, but some recent reports have raised concerns about model accuracy.
At times, they generate clinical details, such as findings that weren’t actually discussed during the encounter. That means more time spent reviewing every line before the note is finalized.
Heidi enhances clinical documentation by assisting with administrative tasks from the initial patient visit through follow-up. It automatically generates specialty-specific notes and standard follow-up documents, such as referrals and patient summaries, using information gathered during the visit. The clinician then reviews, refines and finalizes the documentation.
Below, we’ve made this table with a summary guide comparing Nabla vs Heidi using publicly available and reputable sources at time of publication
| Nabla Copilot | Heidi | |
|---|---|---|
| Features | Scribe, Patient Instructions, EHR Integration | Scribe Evidence Forms, Remote Dictate |
| Specialties Covered | 55+ General and Specialty focused | All Specialties (Customizable Templates) |
| Reliability | 380k+ patient visits on average per week | 2.8+ million patient visits weekly |
| Compliance and Security | SOC2, ISO 27001, HIPAA | ISO 42001, ISO 27001, SOC2, HIPAA, GDPR, NHS Digital, PIPEDA, NZ IPPs, APPS, and more |
| Platform Availability | Web, Mobile App, Extension | Desktop, Mobile, Hardware (Heidi Remote) |
| Languages Supported | 35 | 110+ for Scribe 90 for Dictate |
| Integrations | Epic | Epic, Cerner, athenahealth, Cliniko, Semble, Veradigm, and more |
| Documentation Time | 55% saved at least 1 hour | 61% less time outside sessions, 17.6 hours returned each week |
| Pricing | No full pricing available on their website $119 for their Pro tier | Free -$0 Clinician -$110 Practice -Custom Enterprise - Custom |
| Apple App Store Ratings | 3.7 stars | 4.8 stars |
Once both tools are open in front of a clinician, the gaps show up quickly.
Nabla Copilot draws its strength from its AI medical scribing core: transcription, structured notes, and a fixed library of templates clinicians can adjust within set fields. EHR write-back is available, but the deeper integrations and enterprise controls sit behind higher tiers.
Heidi keeps the same scribing core, then adds the parts of the visit Nabla leaves to other tools. Heidi Evidence brings cited references into the note itself, letting clinicians trace a clinical reference back to its source as knowledge retrieval. Templates can be built and reshaped without engineering support.
Nabla AI medical documentation supports over 55 general and specialty-focused workflows designed to push text into any EHR with minimal data footprint. This is ideal for clinicians who prioritize rapid note turnaround, though it may require more manual adjustment to align with highly specific institutional formatting.
Heidi supports 200+specialties, and clinicians share their own templates in a template community where you can find notes by specialty, region and category. Heidi empowers clinicians to build templates that go beyond their note. Referral letters and patient handouts generated in seconds match each provider’s unique clinical voice.
At 2.8 million patient visits weekly, Heidi's infrastructure is built for the demands of global clinical practice. Meanwhile, Nabla has a strong track record for speed and privacy, supporting over 380,000 patient visits per week as a dedicated documentation engine. Where it narrows is in administrative features: high-volume practices may find themselves supplementing it with additional tools to cover what falls outside note generation.
Nabla Copilot has a secure foundation for data safety with its SOC2 and HIPAA compliance, with a BAA and ISO 27001 certification. Heidi meets all these and dares to go a step further by securing ISO 42001 for AI Safety and UK Cyber Essentials Plus, GDPR, the APPs, NHS, PIPEDA/PHIPA, POPIA, and more to ensure global patient data remains safe.
Heidi also ensures no audio or transcript is stored after the visit. It best fits care teams prioritizing patient data safety while designating their administrative workload to AI.
Nabla AI platform offers accessibility via web browsers, mobile devices, and browser extensions. The solution empowers clinicians with a dedicated desktop app and the proprietary external Hardware, which ensures audio documentation across clinical environments.
Conversely, Heidi extends this protection across a more versatile and robust hardware ecosystem.
Heidi Scribe documents the session and produces the note as a single source of truth. From that same visit context, clinicians can generate downstream documents (like referrals and patient instructions). Afterward, they can use Heidi Evidence for citation-backed answers.
Offline use is supported by Heidi Remote, which is a key advantage for high-volume or low-connectivity environments. By bridging the gap between software and physical hardware, Heidi allows you to move seamlessly from a telehealth session on your PC to a bedside visit. It provides the necessary support for high-volume practices to scale without compromise.
Nabla provides a functional foundation for diverse practices by supporting 35 languages. Heidi, however, significantly expands this reach with its support of over 110 languages. With Heidi, clinicians ensure no patient, regardless of their primary language, feels excluded from the conversation.
When it comes to integration, Heidi offers a far more expansive landscape. While Nabla AI scribe provides essential connectivity for major systems like Epic, Heidi goes much further by natively supporting a massive suite of EHRs, including Cerner and athenahealth.
Deeper interoperability allows you to push structured documentation and finalized notes directly into patient records without ever leaving your EHR.
Heidi also supports SystmOne and EMIS support through templates, which Nabla does not have. This makes Heidi the superior partner for global and high-volume practices that need a tool designed to adapt to their specific software.
Nabla AI reports 80% adoption rates in specific clinical groups. The tool effectively transcribes the visit but stops short of managing the broader administrative requirements that follow.
In contrast, Heidi caters to solo clinicians and the low barrier to entry proves its usefulness, resulting in an adoption-activation rate that is relatively higher than the market at 60-80%.
Clinicians use Heidi in their entire workflow for automation. Heidi’s shift from supporting transcription towards clinical workflows is why Heidi now supports over 2.8 million patient visits weekly.
Nabla’s professional subscription is approximately $119 per month per provider, which is comparable to Heidi’s Clinician tier. At a similar price point, the difference comes down to what each platform includes beyond note generation. However, it is worth noting Nabla’s lack of transparency with its full pricing creates friction for those interested.
Heidi offers a genuinely free tier that includes unlimited AI documentation and Evidence, with Basic Dictate free to try. Clinician is at $110 per user monthly. For bigger teams, Practice and Enterprise pricing is custom.
Heidi is committed to ensuring every doctor can expand their clinical capacity without financial friction.
Nabla Copilot reviews tend to praise its speed and the cleanness of its summaries. Dig deeper and the same reviews flag two patterns: limited customization and a drop-off in quality once the visit covers multi-problem assessments. Nabla's reliance on browser extensions instead of a dedicated desktop application also comes up, particularly from clinicians running high-volume clinics.
On the Apple App Store, Nabla sits at 3.7 stars across 7 ratings. Heidi sits at 4.8 stars across nearly 2,000, with ease of use the most-cited reason clinicians stay.
Across both platforms, one thing is consistent in user reviews: the clinician is still the one reviewing, approving and taking responsibility for the final note. Where they differ is in what happens before that step.
Heidi users frequently cite faster note completion and less admin time as the reasons they stay with the tool, which suggests Heidi is doing enough of the work upfront that the review step feels like a check instead of a rewrite.
Where Nabla handles transcription, Heidi handles the entire documentation workflow. Try once, no card required.
You get more than Heidi’s free-forever platform:
Everything works together with an AI care partner like Heidi. One visit drives action.
Sensitive conversations should be kept private. Nabla Copilot uses a zero retention setup, so that audio and transcripts are only processed to build the medical note and audio and transcripts are never permanently stored on their servers.