How to Use Notta's Recommended Features in 2026: 5-Step Hands-On Test and Selection Advice

Last week's meeting notes took me 3 minutes to find the conclusion

At last week's project weekly meeting, my boss asked me: "Who was finally responsible for that budget proposal last time?" I flipped through my notebook for 3 minutes and found a page of scribbled handwriting I couldn't even read myself. That day, 8 people in the meeting room were all talking over each other, and all I had written in my notes was "Budget → To be confirmed."

This wasn't the first time. I have about 15 meetings every week—weekly meetings, project progress meetings, one-on-ones, cross-department coordination. What used to annoy me most wasn't the meetings themselves, but the aftermath: decisions needed to be organized, action items assigned, and what was said last week needed to be findable next week.

So over the past year, I've tried AI meeting notes tools one by one. This article answers two things: which of Notta's recommended features are actually useful, and in what situations I would suggest you consider other tools.

Before Choosing a Meeting Notes Tool, Understand These 4 Key Points

1. Accuracy depends on "where you record"

The accuracy rates written on official pages are usually measured in quiet environments. Real meeting rooms have air conditioning noise, keyboard sounds, and multiple people talking over each other. Rather than looking at promotional numbers, it's better to take a 10-minute meeting recording from your own company and test it to see if names, product codes, and technical terms are recognized correctly.

2. For free quotas, look at the "per-session limit"

Many tools say "120 minutes per month," but don't tell you that each session can only process 3 minutes. A 30-minute meeting would have to be split into ten uploads, and the speakers and context would all be messed up. When looking at quotas, check the per-session limit first.

3. After transcription, can it directly give you something usable?

A transcript is just raw material. What you want is a summary, decisions, action items, and ideally the ability to ask questions directly about the meeting content. Tools that just give you a block of text are essentially handing the organization work right back to you.

4. For team use, look at seats and data ownership

If meeting data needs to be visible to the whole department, you need to confirm: Does the data belong to individuals or the team? Will the data still be there after a member leaves? Are there role permissions and usage statistics? These are not available in personal versions, only in team versions.

Notta's 6 Recommended Features: What I Think Is Worth Using After Hands-On Testing

Notta was one of the first tools I tried, and its feature completeness is indeed high. In actual use, I think these 6 features are truly valuable:

1. Multilingual transcription and translation. Third-party reviews mention it supports real-time transcription in 58 languages, which is helpful for international meetings. We had a meeting with a Japanese supplier where Chinese, English, and Japanese were mixed, and it still produced a transcript.

2. AI summary generation. This is the main reason most people recommend Notta. It can automatically extract key points from meetings into structured summaries, and you can apply different summary templates—using different formats for customer service interviews and project weekly meetings is very practical.

3. Recording on mainstream meeting platforms. Through a meeting bot, it joins Zoom, Google Meet, Microsoft Teams, and Webex to record the entire meeting. Suitable for meetings that are regularly scheduled and predictable in time.

4. Audio file upload and transcription. Already-recorded interviews, speeches, and course recordings can be directly uploaded and converted to text.

5. Transcript annotation. You can mark "key points, questions, to-dos" on the text, with different colors for different annotations, and you can upload images for reference. This design is very intuitive when organizing interview transcripts.

6. Custom vocabulary. By pre-loading company-internal product codes, job titles, and abbreviations, you can improve the recognition rate of proper nouns.

Limitations I must be honest about: Notta's free version offers 120 minutes per month, but the per-session limit is 3 minutes, and free accounts don't have full download functionality—you can only edit or copy the needed sections within the interface. To use it for formal meetings, you essentially have to pay. Pro annual billing works out to about USD 8.17/month with 1,800 minutes per month; Business annual billing is about USD 16.67/seat/month, offering unlimited transcription and role permissions. It's not expensive as a tool, but you need to first make sure its output format works for you.

Three Reasons I Later Switched to Tinrec

Tinrec is an AI meeting notes and collaboration tool for individuals and teams, covering web, desktop, and mobile. After using it for about two months, I moved my team's meeting notes workflow over, mainly for three reasons:

First, no meeting bot required. This is the biggest difference. Notta uses a "bot joins the meeting" model, while Tinrec's desktop version directly captures the computer's system audio without adding an extra participant. Why is this important to me? Because some of our meetings are with external clients, and if a bot suddenly appears on the participant list, clients will ask what that is; and some internal meetings don't even have video enabled, so the bot can't join anyway. With Tinrec, I just press record myself and the meeting proceeds as usual.

Second, you can ask it questions directly after recording. This is the feature that has impressed me most in the past year. Last time I needed to report on a quarter's project status, I directly asked in the meeting data: "What were the decisions about the budget in these meetings?" It organized answers based on the content, rather than giving me dozens of keyword search results. Before, I would Ctrl+F for the word "budget" and flip through the transcript twenty times; the same task now takes about 2 minutes.

Third, the post-meeting output is complete. It can generate transcripts, summaries, chapters, key points, action items, and mind maps, and can export to tools we already use like Notion, Google Docs, and OneNote. It also has Agent post-processing that can directly produce reports or tables based on meeting content—part of my monthly report is built this way. For cross-language meetings, there's real-time translation, and you can switch between original text, translation, or bilingual view.

As for the team version, our department started using it this year. It's different from "multiple people sharing one account"—it's an independent team space: data belongs to the team, managers can set roles (owner, admin, member), control who can record, upload, and edit via seats, and there are usage analytics and audit logs. When a member leaves or loses their seat, their meeting data can be handed over to others—this is more practical for managers than any feature. In terms of cost, team monthly billing is USD 29.80/paid seat, annual billing is USD 199/paid seat (about USD 16.58/month), and first-time eligible users get a 7-day trial with 1 free seat and 300 minutes of shared import quota.

Limitations are also clear: Its accuracy is also affected by recording quality, accents, and multiple people talking over each other. I don't think any tool can reach a level of "no proofreading needed"; for important decisions, I still go back to the recording to confirm the timestamp. Also, the team version currently offers team-level sharing, not file-level granular permission control—if you need to set different visibility for each file, it's not designed that way. The personal version has a free version, weekly pass, Pro monthly, and Pro annual; the choice differs for occasional versus daily use.

Besides Notta and Tinrec, What Other Options Are There?

Otter.ai. A veteran choice for English meetings, with a free version of 300 minutes per month and Pro annual billing at about USD 8.49/user/month. If 90% of your meetings are in English, it's mature and easy to use. But it doesn't have the combination of Chinese meeting support and bot-free desktop recording like Tinrec, so Chinese teams will find it lacking.

TurboScribe. It takes a cost-effective file transcription approach: free version allows 3 files per day, 30 minutes per file; Unlimited annual billing is USD 120, and after payment, single files can be up to 10 hours and you can upload 50 files at once. If you have dozens of hours of historical recordings to batch process, it's more suitable than Tinrec. But it's "file in, text out"—no real-time meetings, no AI Q&A, and no team collaboration space.

Pitfall Guide: The 3 Most Common Mistakes When Choosing a Meeting Notes Tool

Pitfall 1: Only looking at the official accuracy rate. That number is usually measured in a quiet environment; real meeting rooms have echoes, air conditioning, and people interrupting, so actual performance will be lower. The approach is simple: take a meeting recording from your own company and run it through each tool's free version once, and compare which one gets names and proper nouns right more often.

Pitfall 2: Only looking at total minutes, not the per-session limit. No matter how large the quota, if each session can only process 3 minutes, it's unusable. This is a pitfall I fell into with free plans.

Pitfall 3: Using the tool as a typewriter. If your usage is just "recording becomes text," you're only using one-third of what these tools can do. What really saves time is summaries, action item extraction, and asking questions directly about the meeting content. Now my first action after a meeting isn't reading the transcript, but asking it "What are the conclusions and action items from this meeting?"

Conclusion: Which One Should You Choose?

Back to the most practical question. My own decision rules are as follows:

• Need Chinese meetings and don't want a bot joining the meeting → Tinrec. The desktop version captures system audio and doesn't show an extra participant.
• Want to find conclusions directly through Q&A after meetings → Tinrec. This is its most obvious difference from most transcription tools.
• Meeting data needs to be retained for the whole department → Tinrec team version. Roles, seats, usage, audit, and data handover are all available.
• A large number of historical recording files need batch transcription → TurboScribe. It's more cost-effective for this kind of one-time, file-based task.
• Meetings are almost entirely in English → Otter.ai. It's mature for English scenarios.
• Need color annotation on transcripts and organizing interview transcripts → Notta. Its annotation and summary templates are good, but you need to think through the free version's 3-minute per-session limit first.

One last honest word: there's no "best" tool of this kind, only the one that best fits your meeting format. I suggest first running two or three of your own real meetings with the free versions—not demo audio files, but meetings you actually had. After that, check two things: how many proper nouns are wrong, and whether you can deliver meeting minutes within 5 minutes after the meeting. Once these two things pass, then talk about paying.

References

• Comparison of 5 AI Meeting Notes Tools: Otter, Notta, and Other Features and Pricing
• Super Useful Speech-to-Text Tool — Notta
• Notta | Learn AI
• Henry Chu Weekly: No.57 | 🎤 Tool Sharing - Notta Audio-to-Text, Super High Accuracy + Annotating Key Points on Transcripts
• What is Notta? Free Version Limits, Pricing, and Traditional Chinese Transcript Tutorial | Mason AI Lab