Dictating instead of typing: how much time do you really save?
Speaking is three times faster than typing, but the real gain is won or lost at review. A worked calculation and cited studies to save time on your reports.
Reports, letters, meeting notes: for many professionals, paperwork spills over into the time meant for the job itself. In the United States, a study published in 2016 in the Annals of Internal Medicine followed 57 physicians through their clinic days: for every hour spent with patients, they spent nearly two more on the electronic health record and desk work, and reported one to two hours of extra work every evening. In France, the health ministry’s statistics service, DREES, estimates that GPs in private practice worked an average of 46 hours a week in 2025.
Voice dictation promises to give some of that time back. But how much, exactly? The honest answer fits in one sentence: you gain a lot at the input stage, and you can lose it all again at review. Here is how to do the maths for your own practice, and where the difference is really made.
Speaking is about three times faster than typing
The most widely cited comparison comes from Stanford University. In 2016, a team asked 32 participants to enter phrases on a smartphone, using the keyboard on the one hand and speech recognition on the other. In English, voice proved three times faster, with an error rate 20% lower once corrections had been made.
Two caveats apply. The study used a phone keyboard, which is slower than a real one, and short phrases rather than whole documents. But the order of magnitude holds up elsewhere: an unhurried conversation runs at around 120 to 150 words per minute, while most people type at around 35 to 40 words per minute when copying a text, and noticeably fewer when composing as they think.
The maths for a single report
Let’s take a typical case: a 250-word report. The assumptions below are deliberately conservative; swap in your own.
| Typing | Dictating | |
|---|---|---|
| Assumed speed | 30 words/min (composing as you type) | 100 words/min (steady pace) |
| Entering 250 words | 8 min 20 s | 2 min 30 s |
| Review and edits | 1 min | 2 min |
| Total | 9 min 20 s | 4 min 30 s |
That is close to five minutes saved per document. At ten documents a day, five days a week, it adds up to about four hours a week.
This figure is not a promise. It depends on your typing speed, the length of your documents and, above all, the review line of the table: review is what decides whether dictation saves you time or costs you time.
Where the gain evaporates: misrecognised words
General-purpose voice dictation handles everyday language very well. It stumbles over what your profession is made of: rare terms, proper names, acronyms, Latin words. In our tests on orthopaedic surgery reports dictated in French, “hallux valgus” came out as “Puralux valgus”, and a transcription model used on its own missed up to one specialist term in three.
Every error of this kind costs time: spotting it, fixing it, sometimes with the mouse, mid-sentence. And if the tool makes the same mistake the next day, you have to fix it all over again. That is how professionals give up on dictation: not because it is slow, but because reviewing ends up taking longer than typing.
Three levers change the calculation:
- A vocabulary tailored to your field. Giving the tool the terms of your field, for instance from a few sample documents, markedly improves recognition of the words that matter.
- A correction step that knows this vocabulary. After transcription, a language model can restore the exact spelling of a misheard term, provided it rewords nothing. We explain this mechanism in our article on how AI voice dictation works.
- A memory of your corrections. This is the decisive lever: a word you have corrected once should never need correcting again. On our test bench, applying corrections made on other dictations cut the error rate on specialist terms from 13.9% to 1.7%.
These measurements were made with synthetic voices, which articulate better than you or I do, in perfect silence: they rank the effects; they do not predict your figures. The indicator to track on your own dictations is simple: the number of manual corrections per 100 dictated words should fall week after week.
Seven habits that really save time
- Dictate straight after the procedure or appointment, while everything is fresh: that is when voice beats the keyboard most clearly.
- Always follow the same structure (context, findings, conclusion, next steps): you hesitate less, and the text is quicker to review.
- Speak at a steady pace, without trying to rush. Clear articulation costs less than a correction.
- Dictate in one go, review at the end. Stopping to correct as you go breaks your rhythm and your train of thought.
- Set up your vocabulary once and for all: enter your field and upload three or four past documents.
- Correct in the tool, not after copying and pasting. That is what allows it to learn from your edits.
- Record when you cannot dictate in front of a screen, on the move or between appointments, then upload the file.
What TechVoice adds to the equation
TechVoice was designed around this arithmetic. Text appears as you speak; when you stop, it is corrected within seconds using your vocabulary. Every word you fix is remembered and applied to your next dictations, and you can see at any time what the tool has learned. An uploaded recording of up to 60 minutes is transcribed and corrected in the same way: allow about a minute for a 30-minute meeting.
Transcription relies on Voxtral, Mistral AI’s speech recognition model; we explain why we chose it and what we measured. TechVoice works in French and in English, and our measurements were made in French. The most reliable way to find out your own gain is to try it on a week of real documents: free points are offered when you sign up, with no credit card required, and after that pricing works in points, roughly one per minute of dictation.
Sources
- Sinsky C. et al., “Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties”, Annals of Internal Medicine, 2016. doi:10.7326/M16-0961
- DREES, “Les médecins généralistes libéraux travaillent en moyenne 46 heures par semaine en 2025” (in French), Études et résultats, August 2026.
- Ruan S., Wobbrock J. O., Liou K., Ng A., Landay J. A., “Speech Is 3x Faster than Typing for English and Mandarin Text Entry on Mobile Devices”, 2016. arXiv:1608.07323; write-up in Stanford News.
- TechVoice internal measurements, synthetic corpus of orthopaedic reports in French, September to November 2026.