You just walked out of a one-hour meeting. Roughly 9,000 words were spoken (at 150 words per minute), and you remember three of them. Transcribing a meeting with AI means turning that audio into text in a few minutes, then asking an assistant to produce structured minutes: decisions made, action items, owners, deadlines. No technical skills required, and two of the methods below cost nothing.

This guide gives you four methods, from the most complete to the simplest, the exact prompt that makes the difference between a vague summary and minutes people can actually use, and the rules to know before you hit record (participant consent is not optional). Each method is laid out step by step, with its real limits: maximum length, quality in a six-person meeting, and how it handles accents and industry jargon.

Method 1: do everything in Skilzy's AI Lab

The most complete approach is to chain transcription and minute-writing inside a single environment, with the credits already included, instead of juggling three subscriptions. That's the idea behind the AI Lab built into Skilzy: you get access to the real AI tools straight from the platform, you learn the method while you use it, and you don't have to pay a separate subscription for every step.

How it works, in five steps:

  1. Record the meeting. A phone in the middle of the table is enough for six people in a normal room. On a video call, start the meeting tool's own recording.
  2. Grab the audio file. Universal formats: MP3, M4A, WAV.
  3. Transcribe the audio into text. You get a raw block, punctuation won't be perfect, and some words will be misheard. That's normal, and it won't break the next step.
  4. Apply the minutes prompt (the one in section 5 of this article). The assistant cleans things up, adds structure, and pulls out the decisions and action items.
  5. Proofread and fix. Budget two to three minutes. Check the numbers, the proper nouns, and the deadlines: those are the three places AI gets wrong most often.

For a one-hour meeting, the total lands around 10 to 15 minutes, versus 45 to 90 minutes of writing by hand.

One thing to know before you sign up: two state-recognized certifications are eligible for funding (RS7439 for AI-assisted content marketing, RS6792 for AI and sales) if you want to go further than meeting minutes.

The real value for a beginner isn't the tool: it's the method. Knowing how to phrase the request is 80% of the result. If you want a broader overview before choosing, start with our guide to learning AI as a beginner.

Method 2: the transcription already on your phone (free)

Your phone can probably turn a voice recording into text, for free, with no extra app. It's the fastest option for a short meeting, and it would be dishonest not to mention it.

On iPhone (iOS 18 and later): open the Voice Memos app, record, then tap the transcription icon at the top of the recording. The text appears, and you can copy and paste it into an AI assistant.

On Android: the Recorder app on Pixel phones transcribes live, even offline. On Samsung, the Voice Recorder app offers a ‘Speech-to-text' mode. On other brands, open the Google Docs app, then Tools, then Voice typing.

What this method does well: it's free, immediate, and the audio stays on the device in most cases.

Its limits, plainly:

  • It doesn't tell speakers apart. You get one block of text with no idea who said what.
  • Quality drops fast if several people talk at once or the room echoes.
  • Past 30 or 40 minutes, the text gets hard to use as is.
  • It produces no minutes at all. You still need an AI assistant for the synthesis step.

Method 3: your video-call tool's built-in transcription

If your meeting runs on Teams, Google Meet, or Zoom, transcription is already built in, and it identifies speakers by name. That's an advantage the other methods don't have, because the tool already knows who is connected.

  • Microsoft Teams: during the meeting, open the ‘More actions' menu, then ‘Start transcription'. The text is timestamped and attributed to each participant, then archived with the meeting.
  • Google Meet: transcripts are available depending on your organization's Google Workspace edition, and the document lands in the organizer's Drive.
  • Zoom: audio transcription is switched on in the account settings, on the cloud recording side, on paid plans.

The thing to watch: these features depend on your business subscription and on what your IT admin has allowed. On a free account, they're often unavailable. Check before the meeting, not during it.

Once you have the transcript, the work isn't finished. A one-hour Teams transcript easily runs 40,000 characters, unreadable as it stands. You go back through an AI assistant for the summary.

Method 4: specialized third-party tools

Dedicated transcription tools are the most accurate on long, multilingual meetings, but they add one more subscription or require a technical setup.

Three families, depending on your profile:

Consumer web tools (Notta, Tactiq, Fireflies, Happy Scribe). You upload a file or plug them into your video call. They separate speakers and often offer an automatic summary. Almost all of them have a free tier capped by minutes per month, then a monthly subscription. Heads-up: your audio goes to their servers. Read where the data is hosted before you send over a confidential meeting.

Whisper, the open source model. Released under the MIT license, Whisper is publicly documented on GitHub and installs on your own computer. Free, no length limit, and the audio never leaves your machine. In exchange, you have to go through the terminal and accept a processing time that depends on your hardware. It's the best option if confidentiality is non-negotiable and a command line doesn't scare you.

Assistants that connect to your calendar and join meetings on their own. Handy, but a bot that invites itself into a meeting with nobody announcing it is a genuine consent problem. Avoid it without the team's explicit agreement.

Quick comparison of the four methods

Method Entry cost Identifies speakers Structured minutes Level required
Skilzy AI Lab Monthly subscription Via the prompt and your notes Yes, with the method provided Beginner
Phone (built-in) Free No No Beginner
Video-call tool Included depending on the business plan Yes Partial Beginner
Third-party tool / Whisper Limited free tier or self-install Yes Often Intermediate

The prompt that turns 9,000 words into readable minutes

Good minutes don't come from the transcription tool but from the prompt you write afterwards: ask for a precise structure and named action items, never ‘summarize this meeting'. ‘Summarize' produces a lukewarm paragraph nobody will read. Here's a template to copy and paste above your transcript:

You are writing the minutes of a meeting from the raw transcript below. The transcript contains speech-recognition errors: fix them when the meaning is obvious, and flag uncertain passages in square brackets.

Produce exactly these five blocks:

  1. Context in 3 lines maximum (purpose of the meeting, identifiable participants).
  2. Decisions made: one bullet per decision, phrased in the past tense and affirmatively.
  3. Action items: a table with Action, Owner, Deadline. If the owner or the deadline isn't stated in the transcript, write ‘to be confirmed'. Invent nothing.
  4. Open items: topics raised without a conclusion.
  5. Useful quotes: a maximum of 3 short verbatim lines worth keeping exactly as they were said.

Constraints: 400 words maximum in total, factual tone, no evaluative adjectives. Ignore off-topic digressions.

Transcript: [paste here]

Three adjustments that change the output:

  • Give the list of participants and your industry vocabulary before the transcript. The AI will write ‘GDPR' instead of ‘gee dee pee arr', and get the proper nouns of your sector right.
  • Explicitly forbid making things up. The instruction ‘invent nothing, write to be confirmed' cuts down a lot of action items assigned to the wrong person.
  • Split it up if the meeting runs past 90 minutes. Process the transcript in two or three chunks, then ask for a merge of the partial minutes.

Which assistant you pick matters less than the prompt, but it does matter a little. Our comparison of ChatGPT, Claude, and Gemini on their free tiers breaks down which one handles long texts best. And if you want to practice without spending anything, we've rounded up 15 free resources in French.

Before you hit record: consent and data

Recording a work meeting without telling the participants is illegal in France, whatever transcription method you use. Three habits are enough to stay within the rules.

Announce the recording and what it's for. One sentence at the start: ‘I'm recording so I can write up the minutes; the audio will be deleted once they're approved. Is that okay with everyone?' If someone says no, you take notes instead. Participants have to be informed before you begin, and they have to be able to object.

Limit how long you keep things. Keep the minutes, delete the audio and the raw transcript once the document is approved. Data minimization sits at the heart of the GDPR as the CNIL explains it: you keep only what's necessary, for only as long as necessary.

Be careful with sensitive meetings. One-on-ones, health data, salary information, a confidential client file: in those cases, either stay on a local solution (phone in offline mode, Whisper on your own machine) or don't record at all. A free online service is not the right place for a performance review.

One last point people often forget: say as well that the minutes were written with AI help, and have someone who was in the room review them. Minutes approved by a human commit their author, not the tool.

What to remember

Four methods, one principle: transcription is the easy part, the minutes come from the prompt. Start with whichever method is most accessible in your situation, test it on a short, low-stakes meeting, then tune the prompt until you get a document your colleagues actually read.