Consideration Guide

Plaud, Otter.ai, Fireflies, and ChatGPT can record. None of them know dentistry.

You’ve probably tried at least one of them. Maybe you’re still using one. You prop your phone on the bracket tray, hit record, finish the exam, and then spend the next ten minutes — or ten that night — turning a wall of text into something that actually belongs in a chart.

That’s not a workflow. That’s transcription plus manual work, which is almost as slow as typing from scratch and adds HIPAA risk you probably haven’t thought through.

This page is for dentists doing that math right now: Is this actually saving me time, or am I just solving one problem by creating three others?

Short answer: general transcription tools are good at one thing — capturing words. They have no idea what to do with “occlusal caries on 19, explorer catches, patient symptomatic — going to prep today, go with a D2392” or “six-three, six-two, five-nine, six-one” (that’s a perio read, not a phone number). The tools don’t know. They can’t know. They were built for meetings, not operatories.


What Transcription Tools Actually Do

Transcription tools convert spoken audio to text. That’s their job and they do it reasonably well — for meetings, interviews, lectures.

A clinical dental visit is not a meeting. It’s a structured clinical encounter that produces documentation with specific requirements: CDT codes, tooth numbers, surface designations, perio pocket depths, treatment plan format, billing narratives. These aren’t formatting preferences — they’re what makes a note useful for charting, billing, and legal defensibility.

A transcription tool gives you a word dump. A dental AI scribe gives you a structured clinical note — one your team can review and enter directly into the PMS without guessing what the dentist meant.

The difference in practice:

What Transcription Gives YouWhat OraCore Gives You
Raw audio → unformatted textAmbient audio → structured clinical note
You figure out the CDT codeCDT code inferred from natural clinical language
Perio readings buried in transcriptPerio findings organized by tooth, by surface
You write the treatment planTreatment plan drafted and formatted
You write the insurance narrativeInsurance narrative auto-generated
Extra steps: record → clean → structure → enterOne step: visit happens → note ready for team review

The Three Ways Transcription Tools Fail for Dental

1. Extra Steps = No Workflow

Every transcription tool on this list produces a starting point, not a finished note. You still have to clean the transcript, identify the relevant clinical information, assign CDT codes, format it for the chart, and enter it into your PMS. That’s three to five steps you didn’t have before — you just moved the work rather than removing it.

An ambient dental scribe eliminates those steps. The visit happens. The note is ready. Your team reviews it and enters it into the chart. That’s the fundamental difference between a voice recorder and a dental AI scribe — one captures audio, the other does the work.

2. Missing Clinical Context

Generic transcription tools have no dental vocabulary, no clinical logic, and no concept of what a note needs to contain. When you say “DO on 14” and follow it with pocket depths and a recare recommendation, the tool hears words. OraCore hears a two-surface posterior composite on tooth #14, maps it to D2392, flags the perio findings separately, and structures the recare note for your hygienist’s follow-up.

The gap isn’t minor. These tools were trained on meetings and interviews. Dental clinical language — CDT codes, tooth numbering systems, perio notation, specialty terminology — is a different domain entirely. No amount of prompting ChatGPT fixes this, because it’s not a prompt problem. It’s a domain training problem.

3. HIPAA BAA Exposure

This one matters more than most dentists realize.

A Business Associate Agreement (BAA) is a legally required contract between you and any vendor who handles Protected Health Information (PHI) on your behalf. If a tool processes patient audio or data and you don’t have a signed BAA in place, you’re exposed — regardless of how the tool markets itself.

Here’s where most workarounds fall short:

OraCore provides a Business Associate Agreement at every tier — Light, Pro, and Enterprise. It’s not a configuration you have to hunt down. It’s included because clinical documentation is the entire product.


The Tools, One by One

Hardware Recorder

Plaud Note

Plaud is a hardware recorder — a small device that clips to your iPhone or sits on a surface. It’s elegant, it’s quiet, and it’s attracted real interest from dentists who’ve seen the YouTube demos. Dentist communities on Reddit have been testing it.

The honest assessment: Plaud is a beautiful transcription device. One Reddit user in r/PlaudNoteUsers put it plainly: “PLAUD is not for medical use. I tried it with several patients. It’s very bad with context.” That’s not a fringe view — it’s the recurring feedback from dentists who’ve tried it in an actual operatory. It doesn’t understand dental context, it requires manual cleanup, and it doesn’t scale to a whole-team workflow.

Verdict: Transcript only. No dental context. No team workflow.
Meeting Transcription

Otter.ai

Otter is a well-known meeting transcription tool with a professional reputation. It recently added HIPAA compliance messaging, which has drawn some dental interest.

What Otter does well: accurate real-time transcription for business conversations. What it doesn’t do: produce a structured dental note. Like all transcription tools, the output requires manual reformatting before it belongs in a chart. And the HIPAA compliance story is more nuanced than the marketing suggests — specific plan tier required, BAA must be explicitly set up, and most dentists using the free or standard tier aren’t covered.

Verdict: Accurate transcription. Still requires manual dental structuring.
Meeting AI

Fireflies.ai

Fireflies is a meeting recorder built for capturing action items, decisions, and next steps from team calls. Some practice managers who use it for internal meetings have tried repurposing it for patient visits.

It doesn’t translate. Meeting summaries and “action items” don’t map to clinical documentation. There’s no dental vocabulary, no CDT awareness, no note structure. The standard plan has no HIPAA BAA. This is a category mismatch — not a dental tool being used wrong, but a tool never intended for clinical use being pressed into service.

Verdict: Wrong category. Not built for clinical use.
DIY Workaround

iPhone Voice Memos + ChatGPT

This is the most common DIY workaround and the most exposed one. Zero additional cost, tools already in hand, feels like it should work.

The reality: entering patient information into public ChatGPT is a potential HIPAA violation. OpenAI has no BAA for consumer ChatGPT. This isn’t a technicality — it’s the entire reason healthcare AI compliance exists. Beyond the compliance risk, the workflow is genuinely cumbersome: record the visit → transcribe → copy the transcript → paste into ChatGPT → prompt → review and edit the output → enter into the chart. That’s five or more steps where an ambient scribe is one. And ChatGPT’s output requires heavy editing because it doesn’t know dental.

Verdict: HIPAA risk. 5+ steps. Not dental-aware. Most exposed option.
Enterprise Suite

Microsoft Copilot

Copilot has come up in dental circles as an alternative to Plaud, especially for practices that already pay for Microsoft 365. The rationale: it’s bundled, it’s familiar, it might work.

HIPAA compliance for Copilot requires a Microsoft 365 E3 or E5 enterprise plan with specific configuration — not included in the standard subscriptions most practices use. Beyond compliance, Copilot is a general-purpose LLM assistant with no ambient listening capability for real-time clinical documentation. You’d still be recording manually, cleaning up a transcript, and prompting for a note — same problem, different interface.

Verdict: Enterprise licensing required. No ambient scribe. Same workflow problem.

Full Comparison Matrix

FeatureOraCorePlaud NoteOtter.aiFireflies.aiVoice Memos + ChatGPTMicrosoft Copilot
Dental-specific AI Built for dental General Meetings Meetings General LLM General LLM
HIPAA BAA included All tiers⚠️ Unclear for dental⚠️ Paid plan + config⚠️ Business plan only No BAA available⚠️ Enterprise only
CDT code support Native None None None None None
Perio charting support Detection & analysis None None None None None
Structured clinical notes Direct from ambient audio Transcript only Transcript only Meeting summary Manual prompt needed Manual prompt needed
Insurance narrative generation Auto-generated No No No Manual Manual
Whole-team coverage Unlimited providers One device Per-seat Per-seat One user Per-seat
PMS integration Scribe Pro No No No No No
Extra steps required None — note ready for team Transcript → manual cleanup Transcript → manual cleanup Summary → reformatting 5+ steps 5+ steps
Purpose-built for dental Yes No No No No No

What OraCore Actually Does

OraCore listens during the appointment — not to your team’s side conversations, not to the suction and handpiece, but to the clinical encounter — and produces a structured clinical note your team can review and enter directly into the PMS.

What that means in practice:

This isn’t a transcript you clean up. It’s documentation your team actually uses.

OraCore starts at $149/month for unlimited providers — no per-seat fees. Every dentist, hygienist, and assistant in your practice, same price.


Ready to See the Difference?

Stop cleaning up transcripts. Start finishing notes.

If you’ve been using a transcription workaround and wondering whether there’s a better option — there is. Schedule a demo and we’ll show you a live patient visit, start to finish, in your actual workflow.

Schedule a DemoSee Plans & Pricing

No commitment. No enterprise contract. 14-day free trial available on every plan.

Frequently Asked Questions

Can’t I just prompt ChatGPT to format a dental note properly?

You can get closer with careful prompting, but you’re still working around two problems: (1) ChatGPT isn’t HIPAA compliant for patient data — entering PHI into a public LLM exposes your practice legally, and (2) a general LLM still doesn’t have the clinical context to reliably infer CDT codes, perio findings, or chart-ready structure.

Otter.ai says it’s HIPAA compliant now — isn’t that enough?

HIPAA compliance requires more than a checkbox. You need a signed Business Associate Agreement and must be on the correct plan tier with the right configuration. Most dentists using Otter casually haven’t completed this process. And even if you have — Otter still produces a transcript, not a structured clinical note.

I’ve been using Plaud and it’s been fine. Why switch?

If “fine” means you’re getting a transcript and then spending 10 minutes per patient turning it into a chart note, you’ve solved the recording problem but not the documentation problem. OraCore is worth evaluating if you want the note ready — not just the transcript.

What about accuracy? What if OraCore gets a tooth number wrong?

You review every note before it goes in the chart. OraCore drafts — you approve. Think of it as a dental assistant who takes excellent notes and hands them to you for a quick check, not an autonomous system writing directly to the record.

Is this going to slow down my workflow during the learning curve?

Most practices are confident in the workflow within a week. There’s no special setup during appointments — OraCore listens in the background. The biggest adjustment is trusting that the note is ready when you are.

Does OraCore work with my PMS?

OraCore works with virtually every major PMS — Dentrix, Eaglesoft, Open Dental, Carestream, Curve Dental, and more. Scribe Pro reads patient context, appointment data, and demographics directly from your existing system.

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