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 notes: decisions made, action items, owners, deadlines. No technical skills required, and two of the methods below cost nothing at all.
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 notes people can actually use, and the rules to know before you hit record (participant consent isn't 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 the Skilzy AI Lab
The most complete approach is to chain transcription and note-writing together in a single environment, with 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 for a separate subscription at every step.
Here's how it works in practice, in five steps:
- Record the meeting. A phone in the middle of the table is enough for six people in a normal room. For video calls, start your meeting tool's recording.
- Grab the audio file. Universal formats: MP3, M4A, WAV.
- Transcribe the audio into text. You'll get a raw block of text, with imperfect punctuation and the occasional misheard word. That's normal, and it won't cause problems later.
- Apply the meeting-notes prompt (the one in section 5 of this article). The assistant cleans it up, structures it, and pulls out the decisions and action items.
- Read it over and fix things. Budget two to three minutes. You check the numbers, the proper nouns, and the deadlines: those are the three spots where AI gets it wrong most often.
For a one-hour meeting, the whole thing takes about 10 to 15 minutes, versus 45 to 90 minutes of writing it up 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 notes.
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'd like a wider 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 at all. 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 has 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, instant, and in most cases the audio stays on the device.
Its limits, plainly stated:
- 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 becomes hard to use as-is.
- It doesn't produce any meeting notes. You still need an AI assistant for the summary step.
Method 3: Your Video Call Tool's Built-In Transcription
If your meeting happens on Teams, Google Meet, or Zoom, transcription is already built in, and it labels speakers by name. That's an advantage the other methods don't have, because the tool already knows who's 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 enabled in the account settings, under cloud recording, on paid plans.
One 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.
Once you have the transcript, the work isn't done. A one-hour Teams transcript easily runs 40,000 characters, unreadable as-is. You still go through an AI assistant for the summary.
Method 4: Dedicated Third-Party Tools
Tools built specifically for transcription 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 online tools (Notta, Tactiq, Fireflies, Happy Scribe). You upload a file or plug them into your video calls. They tell speakers apart 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 a confidential meeting over.
Whisper, the open source model. Released under an 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 use the terminal and accept processing times that depend 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. Convenient, but a bot that shows up in a meeting nobody announced 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 notes | Skill level |
|---|---|---|---|---|
| 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 business plan | Yes | Partial | Beginner |
| Third-party tool / Whisper | Limited free tier or local install | Yes | Often | Intermediate |
The Prompt That Turns 9,000 Words into Readable Notes
Good meeting notes don't come from the transcription tool, they come from the prompt you write afterward: ask for a precise structure and named action items, never just "summarize this meeting." "Summarize" gives you 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:
- Context in 3 lines maximum (purpose of the meeting, identifiable participants).
- Decisions made: one bullet per decision, phrased in the past tense and affirmatively.
- Action items: a table with Action, Owner, Deadline. If the owner or deadline isn't stated in the transcript, write "to be confirmed." Do not invent anything.
- Open questions: topics raised without a conclusion.
- Useful quotes: at most 3 short verbatim lines worth keeping as-is.
Constraints: 400 words maximum in total, factual tone, no evaluative adjectives. Ignore off-topic tangents.
Transcript: [paste here]
Three tweaks that change the result:
- Give it the participant list and the industry vocabulary above the transcript. The AI will write "GDPR" instead of "gee dee pee are," and get the proper nouns from your field right.
- Explicitly forbid making things up. The instruction "do not invent anything, write to be confirmed" cuts down a lot on action items pinned 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 the partial notes to be merged.
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 plans breaks down which one handles long texts best. And if you want to practice without spending anything, we've rounded up 15 free resources.
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 on the right side of the rules.
Announce the recording and what it's for. One sentence at the start: "I'm recording so I can write up the notes, and the audio will be deleted once they're approved. Is that okay with everyone?" If someone objects, you take notes instead. Participants have to be informed before you start, and be able to opt out.
Limit how long you keep things. Keep the notes, delete the audio and the raw transcript once the document is approved. Data minimization is at the heart of the GDPR, as explained by France's CNIL: you only keep what's necessary, for as long as it's necessary.
Be careful with sensitive meetings. One-on-ones, health data, salary information, confidential client files: in those cases, either stick to 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: also mention that the notes were written with AI's help, and have someone who was there read them over. Notes approved by a human commit their author, not the tool.
The Takeaway
Four methods, one principle: transcription is the easy part, the notes come from the prompt. Start with whichever method fits your situation best, test it on a short, low-stakes meeting, then tune the prompt until you get a document your colleagues actually read.
