AI Medical Scribe
Upload a recorded encounter and get an editable, timestamped transcript with clinician and patient turns labeled. Review the draft and export it in minutes.
No sign-up to start · 99+ languages · Up to 0.5 GB per file
What is AI Medical Scribe?
AI Medical Scribe converts a recorded patient encounter into editable text with speaker labels and a timestamp on every line. The visit is recorded on a phone or a room device, and the audio is added afterwards, so nothing runs live in the exam room. The clinician then reads the transcript, corrects the terms, and writes the note from what was actually said rather than from a memory of it.
Why choose AI Medical Scribe?
AI Medical Scribe keeps an encounter as a source document: one recording per visit, clinician and patient turns apart, timestamps for checking a detail, and a browser page that opens on any exam room computer. A short follow-up and a long new-patient visit use the same workflow, so the routine holds when the schedule runs late.
Still Typing Encounter Notes After the Patient Has Left?
Typing during a visit pulls attention away from the patient, and a note written hours later loses the phrasing that made a complaint specific. Both paths cost something the clinician would rather keep. AI Medical Scribe turns the recorded encounter into timed text with both voices labeled, so the note is written from a document of the visit, reviewed line by line, instead of from recall.
What makes AI Medical Scribe different?
AI Medical Scribe keeps a visit usable as a source: clinician and patient turns separated, each complaint tied to a time, and a transcript the note can be written from.
A recorded encounter turned into labeled speaker turns
Timed lines for checking what the patient reported
A phone recording is enough, with no exam room install
How to use AI Medical Scribe in 3 steps
- 1
Record the encounter
Record the visit on a phone or a room recorder, with consent handled as local policy requires, and keep one file for the appointment.
- 2
Upload the recording afterwards
Add the audio file or paste a link once the patient has left. Speaker separation keeps the clinician and the patient on separate lines.
- 3
Write the note from the transcript
Fix names, dosages, and durations against the audio, then copy the text into the note or export it as a document.
Start with the recording from the last visit and turn it into text free online. AI Medical Scribe accepts phone audio, labels both speakers, and needs no account to begin the first draft.
Transcribe a patient encounterWhat users say about AI Medical Scribe
“Lecture recordings finally became searchable notes instead of hours of audio.”
“I stopped taking notes in calls and started reviewing transcripts instead.”
“The timestamped transcript cut my editing pass roughly in half.”
“Finding a quote in a 90-minute interview now takes seconds.”
“Speaker labels make multi-person interviews far easier to code.”
Frequently asked questions about AI Medical Scribe
What does AI Medical Scribe produce from a recorded visit?
It produces a timed transcript of the encounter, with the clinician and the patient labeled as separate speakers when separation is enabled. The clinician reviews it, corrects the clinical terms, and writes the note from the text. The tool does not produce a finished note on its own.
Does it listen during the appointment?
No. AI Medical Scribe works on a recording that is uploaded after the visit, so nothing is captured live in the exam room. The recording can come from a phone, a room device, or an existing audio file, and processing starts once the file is added. It converts speech only and leaves clinical wording to the clinician.
Can the clinician and the patient be told apart?
Speaker separation labels each detected voice, and the labels can be renamed in the editor. When a family member speaks or two people talk at once, a switch may be missed, so a reviewer usually confirms the doubtful exchanges by replaying them. A recording made minutes earlier can be added from the same phone.
Which formats work for an encounter recording?
MP3, M4A, WAV, AAC, MP4, MOV, and WebM files are accepted, including audio from a phone. No conversion step is required, and a long visit is handled as one job rather than needing to be trimmed into pieces first. A single-voice recording still works, because the label stays on one speaker.
How accurate is a transcript of a clinic conversation?
Speech in a quiet room needs the fewest corrections, while a fan, hallway noise, or a soft-spoken patient will blur some words. The timestamps matter here, because confirming one dosage takes a replay of a few seconds rather than a full re-listen. A visit recorded on a phone is a normal starting point.
Can several visits be handled in one session?
Yes, each file becomes its own transcript, which keeps one appointment separate from the next. Working through a clinic list this way leaves a set of individual documents rather than a single long recording that has to be searched. A few seconds of replay settles most doubtful terms.
Is the transcript editable before the note is written?
Every line can be edited, including speaker labels and breaks between turns. Corrections happen in the browser before any text is copied, so the version used for the note is the version the clinician has already checked. One file per appointment is also easier to find weeks later.
Does it require an install or an account?
No download is involved, and a first transcript can be produced without an account. An account keeps earlier transcripts available across sessions and makes them available on other devices, which matters for a clinician recording visit after visit through a full day. Nothing is written to a record automatically.
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