Tinrec vs Notta in 2026: 5-Dimension Comparison — Which Saves More Time on Chinese Meeting Notes?

Let me start with a mistake I made.

I used to think the built-in voice input on my phone could be used for transcription. But I had to speak one sentence, pause, segment it myself, and a 40-minute meeting took two hours — and there were still plenty of typos.

Honestly, that thing is essentially an “input method,” not a “transcription tool.” If you don’t understand the difference, you’ll waste a whole evening.

Back in 2024, someone on the MobileComm board of PTT asked whether the S24’s speech-to-text was any good. The comments basically concluded: “Summarization is strong, but speech-to-text accuracy is just okay.” That actually points to what most people really need: not just getting words typed out, but having someone organize it for you.

So this article won’t talk about which app has a prettier interface. It will directly address Chinese meeting notes and which tool saves the most time.

Why do most people’s meeting recordings end up as “listen again”?

Three scenarios — I bet you’ve experienced at least one.

First, after a meeting, the audio file sits on your phone. The thought of listening to an hour-long recording makes you lazy, so you write notes from memory. Two weeks later, you can’t remember who said they’d change which number.

Second, mixed Chinese and English. Your boss says “let’s review the budget for this campaign,” and the tool outputs a string of incomprehensible Chinese transliterations. The whole segment is unusable.

Third, a cross-department meeting with a dozen people taking turns speaking. The transcript is a huge blob with no segmentation or highlights, and you still have to read it from start to finish yourself.

The common thread in all three: the problem isn’t whether it converts speech to text, but whether the result is directly usable.

Before choosing a speech-to-text tool, understand these 5 key points

1. Recognition of Chinese and mixed Chinese-English

Meetings in Taiwan are rarely pure Chinese. Product names, job titles, and technical terms always include English. When choosing a tool, don’t just look at how many languages it supports; look at how smoothly it handles “an English word suddenly appearing in a Chinese sentence.” Teams that have tuned their Chinese language models usually have an edge here.

2. Do you want a transcript or conclusions?

A tool that only provides transcripts is equivalent to replacing “listening for an hour” with “reading for half an hour.” If you want meeting notes, action items, and a version you can paste directly to your boss, then the ability to generate summaries, chapters, and action items is more important than transcription speed.

3. How to record online meetings

A meeting bot joins as a participant, and in client meetings, being asked “who is this?” can be awkward. Another approach is to use a desktop app to capture system audio, without an extra bot. If you frequently meet with external parties, this matters a lot.

4. How free quotas are calculated

Free quotas hide many details. Some are total minutes per month, others are limits on “single upload length.” For example, Notta’s free plan offers 120 minutes per month, but each upload is capped at 3 minutes — a normal meeting recording won’t fit. Look at two things: total monthly allowance and per-file limit.

5. Who owns team data

This is the most overlooked point. Meetings recorded with a personal account — when the person leaves, the data goes with them. If a team needs to share, check whether it has independent team spaces, member and seat management, and how data is handed over when a member leaves.

Tinrec — the one I kept after testing

Tinrec is an AI meeting notes and collaboration tool for individuals and teams. It has iOS, Android, and web versions, and the desktop version can handle online meetings.

Here’s my actual workflow. For online meetings, I open the desktop version; it captures system audio from Zoom, Google Meet, Microsoft Teams, and Webex — no bot needs to be invited. For offline interviews, I use my phone for live recording, and the transcript appears as we speak. For already-recorded audio files, I just upload them.

As soon as the meeting ends, summaries, chapters, and action items are mostly ready. This step impressed me the most. Previously I had to manually pull the timeline and mark “who’s responsible for what.” Now it gives me a draft, and I just edit.

The second feature I use often is AI Q&A. Last time I was looking through a client interview from three weeks ago. Instead of re-listening, I just asked in the chat box, “What was the budget cap the client mentioned?” It answered based on the recording context and even pointed out which segment it came from. That’s much faster than Ctrl+F for keywords, and it’s relatively rare among tools at the same price point.

Third is export. Transcripts and notes can be exported to Notion, Google Docs, or OneNote for further editing, and it can also generate reports, tables, or documents. I don’t use it every time, but when I’m rushing a proposal, it really saves effort.

Three advantages:

• No bot for online meetings: No awkwardness in external meetings — once you’ve used it, you can’t go back.
• Complete post-meeting processing: Summaries, chapters, action items, Q&A, and translation all in one place — not just a blob of text.
• Team edition is a real team structure: Independent team spaces, roles and seats, usage analytics, audit logs. When a member leaves, resources can be handed over to others, so data doesn’t leave with the person.

Limitations to be clear about:

First, it’s not a tool that automatically joins all meetings. You have to open Tinrec and start recording yourself; don’t expect it to silently record your entire day.

Second, quotas are per plan. The team edition provides 2,000 minutes of shared team import quota per paid seat per month; under an active plan, live recording currently doesn’t deduct minutes, but file imports consume this shared quota. Teams with heavy usage should calculate first.

Third, transcription quality still depends on recording conditions. Far microphones, echoey conference rooms, and people talking over each other will degrade results. This is the same for every vendor — it’s not uniquely bad here.

Who is it for? People who frequently have mixed Chinese-English meetings, need to submit notes afterward, and don’t want to move files between computer and phone. If you’re a team, you also get the benefit of “data stays with the team.”

Besides Tinrec, what other options are there?

Notta: A multi-platform transcription tool with decent Chinese support, and the highest overlap with Tinrec. Free plan: 120 minutes per month, max 3 minutes per upload. Pro annual billing is about USD 8.17/month for 1,800 minutes per month. Its weaker points: online meetings usually require a meeting bot or manual handling, and it lacks Tinrec’s AI Q&A around meeting content and team data retention.

Otter.ai: A veteran choice for English meetings. Free plan offers a generous 300 minutes per month; Pro annual billing is about USD 8.49/user/month. If 90% of your meetings are in English, it’s a good deal. But Chinese meetings aren’t its strong suit; for mixed Chinese-English settings, I’d still choose Tinrec.

Granola: Bot-free AI meeting notes. Business plan is USD 14/user/month, and it’s smooth for English meeting notes. But it doesn’t support uploading pre-recorded audio files and doesn’t retain meeting audio, so you can’t go back to verify a sentence later. Tinrec keeps recordings, so you can replay and compare with the transcript — a big difference when writing formal notes.

Pitfall guide: 4 most common mistakes when choosing a speech-to-text tool

Pitfall 1: Treating your phone’s built-in voice input as a transcription tool. That’s an input method, not transcription. It requires you to speak clearly in real time, and it fails with multi-person meetings and background noise. The right approach is to find a dedicated transcription service and run it on audio files or system sound.

Pitfall 2: Only looking at free minutes, not per-file limits. Some free plans allow only 3 minutes per file — a 50-minute meeting won’t fit. Before choosing, confirm the longest audio file you need to process.

Pitfall 3: Ignoring mixed Chinese-English recognition. Chinese sentences in Taiwan meetings always include English technical terms. Don’t just look at official accuracy numbers — those are usually measured in quiet environments. Testing with your own recordings is most accurate.

Pitfall 4: Using the tool only as “speech-to-text.” That’s the biggest waste. If you don’t generate summaries, ask Q&A, or pull action items after transcription, you’re only using a third of its capabilities. For example, Tinrec’s AI Q&A lets you directly ask “Who mentioned the budget in the last meeting?” — much faster than flipping through a 30-minute transcript yourself.

Conclusion: Which one should you choose?

In one sentence: For Chinese meeting notes plus post-meeting organization, Tinrec is the one I’d keep for now.

Routing suggestions:

• Mixed Chinese-English meetings, need to submit notes afterward → Tinrec: Chinese experience plus summaries and action items all in one.
• Don’t want an extra bot in the meeting → Tinrec: desktop version captures system audio.
• Want to use AI to find key points right after recording → Tinrec: AI Q&A is where it stands out from others.
• Team sharing of meeting data → Tinrec team edition: team spaces, roles and seats, usage and audit.
• Meetings are 90% English, zero budget → Otter.ai free plan: the only scenario in this article where I recommend another vendor.

I suggest starting with the free plan and throwing your most troublesome recording into it once. You’ll know within an afternoon whether it’s smooth and usable — no need to pay upfront.

Final reminder: Recording involves personal data. Remember to inform participants before the meeting and ensure compliance with local regulations.

References

• Which audio-to-text tool is best? Conclusion first: 5 AI tools recommended and tested by PTT users - Tinrec Blog
• Which audio-to-text tool is good? Conclusion first: 6 AI tools hotly discussed on PTT - Tinrec Blog
• Discussion: S24 voice-to-text AI features - MobileComm board - PTT
• Speech-to-text app recommendations hotly discussed on PTT: 2026 efficient meeting notes and transcription tool comparison - Tinrec Blog
• Expert-reviewed top 10 audio-to-text recommendations | mybest