Transcribing a meeting does not approve its minutes
A meeting ends and the tool returns a long text with contributions and possible tasks. It is a useful starting point, but it is not yet approved minutes. The important step is not turning speech into text: it is distinguishing what was said, what has been interpreted and what was actually agreed.
A transcript recognises words
Microsoft describes several ways to turn audio into text: real-time, fast and batch transcription. It also offers features to separate speakers, detect languages and guide recognition with specialist vocabulary. These are different capabilities, and you need to check which ones the chosen service supports.
Separating voices does not confirm identities. A speaker label alone does not establish that this is the person making a decision. Recognising a sentence does not settle whether it was a proposal, a question or an accepted commitment either.
Moving from text to summary involves interpretation
Before summarising, define what you need: topics discussed, open questions or possible actions. Keep confirmed agreements separate from points needing validation. If a summary assigns a task, ask for a reference to the original passage and preserve the ability to check authorised audio.
Proper names, amounts, dates and negatives deserve a specific check. A fluent sentence can still be wrong. Specialist vocabulary can help recognition, but it does not replace checking the points that will have consequences.
Approve before triggering consequences
Explain the intended use of the recording to participants and apply the permissions and rules that govern it. Decide who can access the audio, how long it will be kept and which service will process it before uploading sensitive information.
Start with a draft summary that sends no messages and creates no automatic tasks. Check the owner, deadline and wording of agreements with the participants. Only then should they move into the work system.
Evaluate usefulness with representative meetings and permitted data. Do not judge only whether the text sounds good: check whether it preserves decisions and makes uncertainty visible. Good automation helps people remember, but it should not turn a proposal into an obligation without confirmation.