Everything You Need to Know About Automatic Meeting Minutes – From Technology to Data Protection to Costs

Meetings take time. Even more time is often spent on follow-up: organizing notes, summarizing tasks, recording decisions.

Modern AI transcription automates exactly this process. Here you will find the 25 most important questions – clear, practical, and up to date.

Basics

1. What is Meeting Transcription?

Meeting transcription is the automatic conversion of spoken words into text – live during a meeting or afterwards from a recording.

You receive:

1. A complete, searchable transcript
2. Timestamps
3. Speaker recognition
4. Optionally, an automatically generated protocol

2. How does AI transcription work technically?

The process consists of several steps:

1. Audio recording
2. Speech recognition (ASR)
3. Speaker recognition
4. Structuring & punctuation
5. Creation of a protocol from the transcript

Modern language models are continuously improved. We also update our models continuously to steadily increase accuracy and speaker recognition.

3. What is the difference between transcription and protocol?

With us, a structured protocol – including decisions and to-dos – is automatically created from the complete transcript.

4. Which meeting formats can be transcribed?

1. Video conferences
2. Phone calls
3. In-person meetings
4. Hybrid meetings
5. Subsequent audio or video recordings

5. Do I need special hardware?

No.

Modern smartphones and laptops already have very good microphones.

Recommendation:

1. The built-in microphone is completely sufficient for normal meetings.
2. For larger meeting rooms with more than 10 people, we recommend an external conference microphone for optimal quality.

In the enterprise version, no special hardware is strictly necessary.

Accuracy & Quality

6. How accurate is AI transcription?

Modern systems achieve:

90–97% accuracy with good audio quality.

Quality depends on:

1. Clear pronunciation
2. Background noise
3. Number of people speaking simultaneously
4. Dialect
5. Technical vocabulary

The models are continuously developed and updated.

7. Can AI transcribe Swiss German?

Yes – and nowadays very well.

Our solution achieves:

1. Standard German with Swiss accent: 95%+
2. Light Swiss German: 90–95%
3. Stronger dialect: 85–90%

Accuracy is steadily increasing through model improvements.

8. Are technical terms recognized correctly?

Technical terms are often the biggest challenge.

At Meeting Metrics, there is a dedicated vocabulary field in the settings where you can add industry-specific terms.

How it works:

1. Add your own technical words
2. Define product names
3. Add abbreviations

This significantly improves recognition rates.

9. How are different speakers distinguished?

Speaker recognition analyzes voice profiles.

At Meeting Metrics, it goes further:

1. A voice profile is created
2. For recurring meetings, the system recognizes known voices
3. The name is automatically suggested
4. You only need to confirm

This saves time and increases consistency in recurring meetings.

10. What to do with poor audio quality?

1. Use a headset
2. Mute when not speaking
3. Avoid background noise
4. Use an external microphone for large meetings
5. Briefly check critical parts

Data Protection & Law

11. Is meeting transcription GDPR compliant?

Yes – if the following points are observed:

1. Informing participants
2. Clear purpose limitation
3. Deletion periods
4. Technical security measures
5. Appropriate server location

12. Do I have to inform participants?

Yes.

At least at the beginning of the meeting:

"This meeting is being transcribed."

For sensitive conversations, explicit consent is recommended.

13. Where is the data stored?

Here we clearly differ:

At Meeting Metrics, all processing takes place in Switzerland.

1. Audio recording
2. Transcription
3. Speaker recognition
4. Creation of the protocol

Everything is fully processed in Switzerland.

In the enterprise solution, processing also takes place entirely within Switzerland.

This offers:

1. Maximum data sovereignty
2. No CLOUD Act issues
3. Highest compliance security

14. How long can transcripts be stored?

As long as necessary for the purpose.

Best practice:

1. Internal meetings: 1–2 years
2. Applications (rejections): 6 months
3. Legally relevant content: according to retention requirements

Automatic deletion periods are recommended.

15. What is the CLOUD Act?

US providers can be required under certain circumstances to hand over data to authorities.

If sensitive business or personal data is involved, a Swiss or EU solution is therefore recommended.

Costs & Models

16. What does meeting transcription cost?

Our models:

With annual billing, you get a 50% discount.

17. Is it worth it?

Rule of thumb:

If your team spends more than 5 hours per week in meetings, transcription is worthwhile.

Just a few hours of time saved per month more than covers the costs.

18. Is there a free alternative?

Yes. At Meeting Metrics, every user gets: 5 meetings per month free, each up to 60 minutes. Just register and try it out directly.

Practical Use

19. How do I get started?

1. Create an account
2. Download desktop or mobile app
3. Record meeting
4. Check transcript
5. Roll out internally within the team

Getting started takes only a few minutes.

20. Can I transcribe old meetings?

Yes. Existing audio or video recordings can be uploaded and transcribed afterwards.

21. How do I find content later?

1. Full-text search
2. AI-based context search
3. Filter by date or participant
4. Direct jump to the spot in the audio

22. Does transcription work offline?

1. Cloud version: Internet required
2. Enterprise: advanced options possible

The cloud solution is sufficient for most use cases.

Selection & Decision

23. What should I pay attention to when choosing?

1. Server location
2. Language support
3. Accuracy with dialects
4. Speaker recognition
5. Protocol function
6. Deletion periods
7. Pricing structure
8. Trial phase

24. What distinguishes Meeting Metrics from other providers?

The key difference: Complete processing in Switzerland.

Other providers:

1. Process data in the USA
2. Are subject to the CLOUD Act
3. Primarily focus on English

Meeting Metrics offers:

1. Swiss hosting
2. Swiss processing
3. Swiss dialect optimization
4. Voice profile recognition
5. Vocabulary management in settings
6. Automatic protocol creation

25. Will the models continue to improve?

Yes. Language models are developing rapidly. We continuously update our models and integrate improvements continuously.

This means:

1. Higher accuracy
2. Better speaker recognition
3. Improved dialect processing
4. Smarter protocols

Conclusion

Meeting transcription is now a productive standard tool.

The key points:

1. 90–97% accuracy with good audio quality
2. Very good Swiss German recognition
3. Complete processing in Switzerland
4. No special equipment needed
5. Free entry possible

If you haven't tried it yet: Register and try 5 meetings for free.