Medical transcription that gives clinicians their time back

From bedside dictations to telehealth visits, get clean, speaker-labelled transcripts in minutes — on infrastructure that satisfies your security team.

11 hrsweekly time saved per clinician

Documentation is the work behind the work

Healthcare runs on documentation. Every visit, every consult, every dictated impression ends up in a chart — and someone has to type it. For most clinicians, that someone is them, after hours, fighting the EHR while the rest of the world is at dinner.

Transcrify gives that hour back. Upload a dictation from your phone, an audio recording of a telehealth visit, or a clip from a multidisciplinary case review, and you get a clean, speaker-labelled transcript in minutes. Our models are tuned for clinical vocabulary — drug names spelled correctly, anatomy in the right plane, symptoms phrased the way doctors actually say them — so the draft is usually 90% there before you touch it.

And because everything runs on our own infrastructure (no third-party API calls, no audio leaving the EU), it sits well with the security teams who have to sign off on anything that touches PHI.

Built for the way clinical teams actually work

Not a general-purpose transcription tool with a healthcare landing page — a workflow engineered around how documentation gets done in practice.

01

Trained on clinical vocabulary

Drug names, anatomy, ICD-10 references and the abbreviations clinicians actually use — not a generic dictionary that thinks "STEMI" is a typo.

02

Speaker labels for consults

Doctor and patient automatically separated, ready for chart-ready dialogue formatting.

03

Telehealth-friendly

Drop in a Zoom or Doxy.me recording and get a structured visit note — both speakers labelled, timestamps every paragraph.

04

Minutes, not hours

A 30-minute dictation comes back in roughly two minutes. Long case reviews in under ten.

05

PHI stays inside your perimeter

Audio is processed on infrastructure we own — no OpenAI, no Google, no third-party transcription APIs. DPAs available for European customers.

06

Plays nicely with your EHR

Export plain text, structured PDF, or push via webhook into the documentation field that actually exists in your chart.

Example workflow

A typical day, transcribed

  1. 1

    Pre-rounds

    Open Voice Memos on the way to the ward. Dictate impressions on the morning's patients between coffee and the huddle.

  2. 2

    Upload and forget

    Drop the file into Transcrify before the first patient. Get back to the team — the model does its work in the background.

  3. 3

    Skim, edit, paste

    Twenty minutes later, open the transcript. Fix two misheard meds, drop the cleaned section into the EHR.

  4. 4

    Telehealth, same workflow

    In the afternoon, virtual visits get the same treatment — the recording goes from Zoom to a structured visit note without you typing during the appointment.

How medical transcription works in Transcrify

1

Record or upload

Voice memo from your phone, dictaphone WAV, telehealth video — drop it in. Any major format works.

2

AI transcribes

Models trained on clinical vocabulary handle drug names, anatomy, ICD-10 references and abbreviations. Speakers labelled automatically.

3

Edit and paste

Skim, fix the one or two terms it missed, and paste straight into Epic, Cerner, Doctolib or your EHR of choice.

Where it earns its keep

Specialties differ. The documentation pain doesn't.

01

Clinical notes

Dictations turned into structured chart entries — same day, no overtime.

02

Patient consultations

Speaker-labelled dialogue you can review later, paste into the visit summary, or share with the care team.

03

Telehealth visits

Virtual consultations transcribed straight from the recording — no in-visit typing.

04

Multidisciplinary case reviews

Capture the back-and-forth from MDT meetings without anyone having to be the designated note-taker.

05

Radiology reads

Radiologist dictations turned into report drafts in under a minute.

06

Therapy session notes

Confidential session-to-text for therapists who want their evenings back.

Case study

How a regional hospital cut documentation overtime to zero

"I used to get home at 7pm and start documentation. Now I leave at 5:30 and the charts are already 80% written. That's not a productivity hack — that's my evenings back."
Dr. Anya Lindqvist·Internal medicine, regional hospital in Malmö
11 hrs
weekly time saved per clinician
94%
first-pass accuracy on clinical dictations
0
patient files leaving the hospital network

Anya's department was drowning in documentation. Each clinician was spending two to three hours a day on notes — half of that after their shift ended. Burnout was the obvious destination.

After a six-week pilot with Transcrify, every clinician on the team was uploading dictations between patients and editing transcripts during their existing administrative blocks. The hospital's security team approved the rollout because all audio stayed inside the hospital's private infrastructure — no external APIs, no third-party data processors.

A year in, Anya's team has cut documentation overtime to nearly zero, and patient throughput is up roughly 18% — not because anyone is rushing, but because the bottleneck was never the medicine. It was the typing.

Questions clinicians ask before they pilot

Is Transcrify HIPAA / GDPR compliant for medical use?

Audio is processed on infrastructure we own and operate — no OpenAI, no Google, no third-party transcription APIs. Encryption in transit and at rest. We sign DPAs for European customers and offer on-premise deployment for hospitals with stricter posture requirements.

Does it actually understand medical terminology?

Yes — drug names, anatomy, ICD-10 references, common abbreviations. First-pass accuracy on clinical dictations sits around 94% in our pilot data; you typically fix one or two terms per page rather than rewriting paragraphs.

Can I use it for telehealth?

Most platforms (Zoom, Teams, Doxy.me) let you record a session locally. Drop the file in and you get a transcript with both speakers labelled. Some teams use it specifically to free up the clinician from typing during the visit.

How does it handle accents and non-native English?

Models handle 50+ languages and most major English accents — British, Indian, Caribbean, South African — without retraining. Heavily noisy environments (busy ED, ambulances) reduce accuracy more than accent does.

Will it slot into my existing EHR?

Transcripts export as plain text, structured PDF, or via webhook. Most hospitals paste them into Epic, Cerner, or Doctolib note fields directly.

See what an evening without documentation feels like

Try a clinical dictation on us — no credit card, no commitment. Five minutes from upload to a transcript you can paste into the chart.