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How to Transcribe Microsoft Teams Meetings: The Honest Guide

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AssiaFounder & Former Business Analyst
|·7 min read

I was in a two-hour Teams call last year — a project steering committee with six people talking over each other about a deployment timeline that kept shifting. The built-in transcription was running. At the end I downloaded the VTT file, opened it, and spent twenty minutes trying to find the one decision that actually mattered: who owned the go-live approval.

It was in there. Buried between a side conversation about a UI bug and someone asking whether they should use the mute button.

This guide is for people who want to transcribe their Teams meetings properly — and more importantly, actually extract something useful from the transcript.

Person in a Microsoft Teams video call on a laptop

What Microsoft Teams can do natively

Teams has had built-in transcription since 2021, but availability depends entirely on your plan and your IT admin's settings. Here is the honest picture:

What you need to use Teams transcription

If all of that lines up, you can start a live transcription by clicking the three dots (…) in your meeting controls and selecting Start transcription. At the end of the meeting, the transcript appears in the meeting chat and is also stored in SharePoint.

For a full walkthrough of your admin settings, Microsoft's official documentation covers exactly which policies need to be enabled.

What Teams transcription actually produces

The native output is a VTT file (a subtitle format) with speaker labels and timestamps. It looks like this:

00:02:14.000 --> 00:02:18.000
Assia: So the go-live date is confirmed for the fourteenth?

00:02:18.500 --> 00:02:22.000
Karim: That's what we agreed, yes, pending sign-off.

Clean, readable. But it is still a raw wall of text. A two-hour call produces 15,000 to 25,000 words. Nobody re-reads that.

Where the built-in transcription fails

Jargon recognition is generic

Microsoft's transcription model is trained on general English. If your meetings are heavy on product names, internal acronyms, or technical terminology, it will guess confidently and guess wrong. A model that transcribes "Kubernetes" as "cube net ease" every time is not saving you time — it is creating correction work.

This was exactly the problem I had on a telecom project. The transcription tool faithfully recorded everything except the technical terms that actually mattered.

You still have to find the decisions yourself

A transcript is not a meeting summary. Nobody built the meeting summary feature into the VTT exporter. You get the raw output, and the analysis is still entirely on you.

Recording-only transcription is locked behind extra steps

If you recorded the meeting and want to transcribe it after the fact, you have to download the MP4 from Stream, then find another tool to transcribe it. The native flow is not built for async review.

How to get a transcript and actual decisions

For long, complex Teams meetings, here is what actually works:

Step 1: Get the audio or video file

If you used native Teams recording, download the MP4 from the meeting chat or from SharePoint/Stream. If you recorded it with a separate tool, you already have the file.

Step 2: Upload to a transcription tool with AI extraction

This is where I end up using Audiomaktube. Upload the MP4 or audio file directly. The transcription runs in the background — a two-hour call takes about four minutes to process.

Step 3: Add your terminology before you transcribe

Before the job starts, add your product names, internal codes, and team names to the Custom Vocabulary library. The AI learns them instantly instead of guessing. That one step eliminates the jargon problem entirely.

Step 4: Ask for decisions, not a summary

Once the transcript is ready, use the Ask Your Audio chat. Instead of reading 20,000 words, type a specific question: "What was agreed about the go-live date, and who owns sign-off?" You get a two-sentence answer with the exact timestamp where it was said.

A desk with a notebook and laptop showing meeting notes

When to use native Teams transcription vs. a dedicated tool

Use native Teams transcription when:

Use a dedicated tool like Audiomaktube when:

According to Gartner's research on meeting productivity, most knowledge workers spend 12 hours a week in meetings. The transcription step is only useful if it reduces the time you spend processing what was said — not if it just archives it.

How to transcribe a recorded Teams meeting (step by step)

  1. Open Microsoft Teams and navigate to Calendar.
  2. Find the past meeting and click on it.
  3. Click Meeting notes or Recordings in the meeting detail panel.
  4. Download the MP4 recording from the chat or from SharePoint/Stream.
  5. Upload the MP4 to Audiomaktube (or your preferred transcription tool).
  6. If your meeting uses technical terminology, add those terms to Custom Vocabulary first.
  7. Once transcribed, use the AI sidebar to ask specific questions about decisions, owners, or next steps.

Honest pricing

If you are doing this regularly, here is what it costs to transcribe Teams meetings with Audiomaktube:

For reference: Microsoft 365 Business Standard — the plan that unlocks native Teams transcription — costs $12.50/mo per user. You are already paying for it. The question is whether the output is actually useful to you.

Frequently asked questions

Click the three dots (…) in your meeting controls, then select **Start transcription**. This option only appears if your Microsoft 365 plan and your admin settings support it. If you do not see it, check with your IT administrator or review Microsoft's transcription policy guide.

Download the MP4 recording from the Teams meeting chat or from SharePoint/Stream, then upload it to a dedicated transcription tool. Native Teams transcription only works during live meetings.

Native Teams transcription is included in Microsoft 365 Business Standard ($12.50/user/mo) and above. It is not available on Business Basic or the free Teams plan.

For standard English in quiet conditions, accuracy is generally solid — 85–95% on clean audio. Accuracy drops significantly on technical jargon, accents, overlapping speakers, and background noise. A Custom Vocabulary feature (available in tools like Audiomaktube) specifically addresses the terminology problem.

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About the Author: Assia

Assia is an engineer by diploma, former business analyst by trade, and founder of AudioMaktube. After spending five years sitting through dense technical meetings and manually typing notes, she built AudioMaktube to turn complex audio into clear, actionable decision lists.

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