Tinrec vs Notta 2026: 5-Dimension Comparison of AI Meeting Notes Apps for Chinese-Language Scenarios

Search for "meeting notes" on the App Store or Google Play, and you'll get at least a dozen results—each claiming to convert speech to text and automatically generate summaries. But the first judgment you should make isn't comparing download counts; it's asking yourself one question: Do I want a verbatim transcript, or data I can directly use after the meeting ends?

That question alone will eliminate half the options. Below, I'll focus on Tinrec and Notta, break down the 5 dimensions you should consider for an AI meeting notes app, and then add the positioning of Otter.ai, Granola, and PLAUD to help you determine which one fits your meeting style.

Two-hour meeting, two more hours to organize—what problem should an AI meeting notes app solve?

The first scenario is online meetings. After a Zoom, Google Meet, or Teams call ends and the room closes, the discussion is scattered across everyone's memory. Someone writes minutes from impression, and two days later when someone asks "Who was responsible for that timeline last time?", no one can answer.

The second scenario is in-person meetings and interviews. You record audio on your phone, the file sits in your gallery, and when you finally need to organize it, you realize you have to listen to a 90-minute recording all over again. After converting to text, you still have to manually pick out key points from thousands of words.

The third scenario happens within teams. A colleague leaves, and the meeting notes disappear with their personal account; new members who want to understand the decision context from three months ago have to ask around.

The common thread across these three scenarios: the problem isn't whether there's a recording, but how to use it after recording. Choose the right tool, and you can save time on the first step.

Before choosing an AI meeting notes app, understand these 5 key points

1. What comes after the transcript A tool that only gives you a transcript is essentially handing the organization work right back to you. What you should look at is whether it can generate summaries, chapters, action items, and even let you ask questions directly about the meeting content, like "What was the conclusion?"

2. How the meeting is recorded There are three common methods: a meeting bot joining the meeting room, desktop software capturing system audio, or a physical recording device. Bots are convenient, but in some client meetings, having an unfamiliar account on the participant list can be a bit awkward.

3. Whether the audio file is retained Some tools only keep text and don't store audio. The advantage is lightweight; the disadvantage is that when you suspect a sentence was transcribed incorrectly, there's no original recording to check against. For interview situations that require precise quotations, this point is especially critical.

4. How Chinese and mixed Chinese-English are handled Don't just look at the accuracy rate stated by the official source. The real variables are air conditioning noise, multiple people talking over each other, accents, and technical terminology. The practical approach is to test with a real meeting recording of your own and hear the difference before considering payment.

5. Team collaboration and governance If meeting data is to be used by the entire department, you need to check whether it has an independent team space, member roles, seat management, usage statistics, and operation logs. A group of people sharing one personal account password is the most accident-prone approach.

Tinrec—why I cast my vote for it

Tinrec is an AI meeting notes and collaboration tool for individuals and teams, covering mobile, desktop, and web versions. It doesn't just convert audio to text; it organizes meetings into data that can be searched, summarized, queried, exported, and further processed.

Record online meetings without inviting a bot The desktop version directly captures your computer's system audio, handling meetings played on your computer via Zoom, Google Meet, Microsoft Teams, Webex, and other platforms, without requiring an additional bot account to join. Note that this doesn't mean it automatically joins every meeting on your calendar—you need to open Tinrec yourself to start recording.

The real value comes after recording When the meeting ends, the transcript is already on screen, and AI summaries, chapters, and action items are generated next. When you need a presentation, it can even organize into a mind map. You can directly ask questions about this meeting: "What was decided here?" "Who is responsible for the next version?" It answers based on the meeting content, rather than throwing a list of keyword search results at you. This is where I think it sets itself apart from pure transcription tools.

Chinese meetings, mixed Chinese-English, and real-time translation Tinrec covers Chinese, Traditional Chinese, and multilingual scenarios. During recording, you can switch between viewing the original text, translation, or bilingual content. Teams can also maintain their own hotword lists so that technical terms like product names and project codes are recognized more closely to actual usage. Actual performance will still be affected by recording quality, noise, accents, and overlapping speech, and I don't recommend trusting any advertised fixed accuracy numbers.

Team version: turn meetings into team assets In the personal version, data is managed by the individual; the team version provides an independent team space where meeting data belongs to the team. Administrators can invite members, set roles as Owner/Admin/Regular Member, allocate seats, and view usage trends and operation logs. When a member leaves or loses their seat, the data doesn't get taken away—you just need to transfer the resources they were responsible for to other active members.

Here's a point that's easy to confuse: roles determine who can manage the team, while seats determine who can record, upload, edit, and export. Active members without a seat can still view, play, and read team data, but cannot edit or export. Currently, the team version primarily shares at the team level, not with granular file-level permissions.

Plans and pricing The personal version has a free tier to experience basic quota, plus weekly cards, Pro monthly, and Pro annual plans. Choose based on usage frequency: for short-term intensive interviews, consider the weekly card; for regular weekly meetings, choose Pro; for long-term data accumulation, choose the annual plan. The team version offers a 7-day trial for first-time eligible users, 1 free seat, and 300 minutes of team shared import quota; monthly payment is USD 29.80 per paid seat per month, annual payment is USD 199 per paid seat per year (about USD 16.58 per month). Each paid seat provides 2,000 minutes of team shared import quota per month, and real-time recording under an active plan is currently not deducted by minutes. Actual prices and benefits are subject to the official purchase page.

Limitations and who it's for The free version's quota is insufficient for heavy users, so you'll need to evaluate paid plans; for some team version capabilities, it's advisable to confirm the current production environment status before formal external use. If you want Chinese meeting notes, don't want a bot joining your meetings, and want post-meeting data to remain in the team space for continued use—Tinrec is currently the smoothest choice I've found.

Besides Tinrec, what other options are worth considering?

Notta A transcription tool known for multilingual support, with a mature interface, suitable for international teams. The free version offers 120 minutes per month with a 3-minute limit per session; Pro annual billing is about USD 8.17 per month with 1,800 minutes per month. Its strength is speech-to-text itself; if you want to directly query content after the meeting and have data settle into a team space, Tinrec does that layer more completely.

Otter.ai A veteran choice for English business meetings. Basic is free with 300 minutes per month; Pro annual billing is about USD 8.49 per user per month. If 90% of your meetings are in English, it's a good deal. But Chinese meetings aren't its strong suit, and it doesn't have the bot-free experience of desktop system audio capture.

Granola Also takes the bot-free route, using desktop system audio combined with your own notes to generate meeting content. Business is USD 14 per user per month. Note that it doesn't save meeting audio and doesn't support uploading pre-recorded audio files—for interview work that requires checking against the original audio, this is a substantive difference.

PLAUD Note/NotePin If you want hardware for portable recording, PLAUD's devices (NotePin USD 159, Note Pro USD 189) are indeed convenient. But hardware is an additional cost, and online meeting processing ultimately has to go back to the app side; for those who don't need extra equipment and want to process online meetings directly on their computer, a software solution is simpler.

Pitfall guide: the 4 most common mistakes when choosing a meeting notes app

Pitfall 1: Only looking at the official accuracy rate. Numbers measured in a quiet recording studio will drop significantly in a meeting room with air conditioning noise, keyboard sounds, and multiple people talking over each other. The right approach is to test with your own recordings—don't just look at advertising copy.

Pitfall 2: Treating "meeting bot" as the only solution. Bots joining meetings can be inconvenient in some situations and may encounter platform permissions or host blocking. First confirm whether the people you're communicating with can accept an extra account on the participant list.

Pitfall 3: Ignoring whether audio files are retained. Tools that only keep text are lightweight, but when you need precise quotations or suspect transcription errors, there's no original audio to play back. For important interviews, I'd recommend choosing a solution that retains recordings.

Pitfall 4: Treating "has transcription" as "has AI". Using an AI meeting notes app only for recording and transcription is like using only one-third of its power. After recording, directly asking it "What were the conclusions and action items?" is much faster than manually flipping through a 30-minute transcript.

Conclusion: Which one should you choose?

To sum up in one sentence: If your meetings are primarily in Chinese and you care about post-meeting output, Tinrec is my top recommendation among these options.

• Need Chinese and mixed Chinese-English meeting notes → Tinrec (multilingual transcription, bilingual viewing, team hotwords)
• Don't want a bot joining meetings → Tinrec or Granola (desktop system audio capture, but Granola doesn't save audio or accept pre-recorded files)
• Want to directly query the meeting after recording → Tinrec (AI Q&A, summaries, chapters, action items all in one)
• Meeting data needs to be kept for the entire department → Tinrec team version (team space, roles, seats, usage and operation logs)
• Meetings are 90% English and budget is limited → Otter.ai (free 300 minutes per month, cost-effective for English scenarios)
• Only need cheap bulk file transcription → Tools focused on file processing like Notta or TurboScribe

I suggest first trying your own free quota: run a recent meeting recording through the full process from transcription to summary to querying, then decide whether to upgrade. Whether a tool is good or not can be seen in one real meeting.

References

• AI Meeting Notes - Google Play App
• AI Meeting Notes Software Recommendations: 5 App Hands-on Comparisons, Automatic Transcription Makes Meetings Easy!
• Notta - Super Accurate Transcript, Speech to Text, Meeting Recording, AI Summary Notes App - App Store
• Meeting Notes AI App - App Store
• Meeting Ink - 2026 AI Meeting Notes Tool Hands-on Test | 7 Speech-to-Text and Summary Speed Comparisons | Meeting Ink - AI Meeting Notes Assistant Automatic Transcription Transcript Summary Meeting Minutes