Tinrec vs Notta 2026: 5-Dimension Comparison for Chinese Speech-to-Text

The meeting ended, but your work just began

At 3 PM on a Wednesday, a 50-minute cross-departmental meeting just ended. The note-taker is still buried in catching up—speakers switch between Chinese and English, someone interrupts mid-sentence, and the only key points left are a few words on the whiteboard.

Two weeks later, a client calls to ask, "What was the delivery date we discussed last time?" You only remember it was discussed, but no one remembers where the conclusion was written. So you open that 50-minute recording and start listening from the first minute.

If you hold meetings in Chinese, occasionally mix in English, and need to turn meeting content into searchable, accountable data, choosing the wrong tool can be costly. This article is about that.

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

1. Recognition performance for Chinese and mixed Chinese-English Don't just look at the official accuracy rate—that's usually measured in a quiet environment. Real meetings have air conditioning noise, keyboard sounds, multiple people talking over each other, and sentences like "Let's sync on this deadline next week." I compare using the same mixed Chinese-English recording, and that's when differences usually show up.

2. How the meeting is captured One way is to send a meeting bot as a participant to join online meetings; the other is to capture the computer's system audio directly via desktop. Some companies block the former, while the latter doesn't require an extra participant. This affects whether you need to do an extra step during meetings.

3. What you get after transcription Having only a transcript versus having summaries, chapters, action items, and the ability to ask follow-up questions are two completely different workflows.

4. Whether audio files are retained Often what you need isn't the transcript, but to "go back and listen to those 10 seconds to confirm a number." If the tool doesn't retain audio, you lose the basis for verification.

5. Cross-device and team ownership Recording on mobile and organizing on computer is the norm. If meeting data is shared by the team, you also need to see if it can stay in a team space rather than in someone's personal account.

Tinrec — the one we put on our top list after testing

Tinrec is an AI meeting notes and collaboration tool for individuals and teams, covering iOS, Android, and web.

First, online meetings. Tinrec's desktop version captures computer system audio directly, so when handling meetings on Zoom, Google Meet, Microsoft Teams, Webex, etc., there's no need to invite a meeting bot. Just open it before the meeting and press record—other participants won't notice a thing.

Next, during the meeting. It supports real-time recording and transcription, with mixed Chinese-English content transcribed as you speak; for cross-language meetings, you can view the original, translation, or bilingual content during recording, which is especially useful for international teams.

What really sets it apart is after the meeting. Tinrec automatically generates summaries, chapters, and key points, and organizes action items from discussions into to-dos. Even better is AI Q&A—you can directly ask it, "Who mentioned the budget in the last meeting?" and it will answer based on the semantics of the meeting content, rather than throwing a bunch of keyword search results at you. This feature is not common among tools at the same price point.

If you already have audio or video files, you can upload them directly for transcription. The organized results can be exported as files or taken to Notion, Google Docs, OneNote, Dropbox for further processing; when you need to deliver, you can also use Agent post-processing to generate reports, tables, and documents.

Three advantages I found in actual use:

• Transcripts of Chinese meetings read smoothly, and mixed Chinese-English doesn't require manual fixing for ages.
• After recording, asking AI directly is much faster than manually Ctrl+F through a 30-minute transcript.
• Works on mobile, computer, and web, so meeting data won't be stuck on one device.

Limitations to note:

• The free version offers basic quota, suitable for trying out; if meeting volume is steady, consider a paid plan.
• Personal plans include free, weekly card, Pro monthly, and Pro annual. Actual quotas and prices are subject to the official website.
• Accuracy is affected by recording quality, accent, noise, and technical terms. For important information, it's recommended to verify against the original audio.

For team use: Tinrec's team version provides an independent team space where meeting data belongs to the team, and you can manage member roles and seats, view usage analytics, export audit logs, and there's a 30-day audio recycle bin. Currently, paid seats are USD 29.80/seat/month, annual USD 199/seat/year (about USD 16.58/month), each paid seat provides 2,000 minutes of team shared import quota per month; eligible teams can try 7 days, 1 free seat, 300 minutes shared import quota. Actual prices and benefits are subject to the official purchase page.

Who it's for: Those who frequently hold meetings in Chinese, want to use AI to find key points right after recording, need to switch between mobile and computer, or want to turn meeting data into team assets.

Besides Tinrec, what other options are there?

Notta: The competitor with the highest overlap with Tinrec, offering multi-platform transcription, meeting notes, file import, translation, and team plans. Official claims: free version 120 minutes per month, max 3 minutes per single content, Pro annual equivalent to about USD 8.17/month. Its team plan focuses on transcription and permission management; Tinrec adds Agent post-processing to generate reports and tables, audio recycle bin, and other post-meeting and data governance capabilities.

Otter.ai: The top choice for English business meetings, Basic free 300 minutes per month, Pro annual equivalent to about USD 8.49/user/month. If 90% of your meetings are in English, it's a great deal. But Chinese meetings and mixed Chinese-English organization are not its strong suit, and real-time translation and bilingual transcripts are not its focus—which is exactly where Tinrec excels.

Google Docs voice typing: A completely free entry-level option. Google's speech recognition supports over 85 languages, and you can dictate in real-time with a document open. But it doesn't process existing audio files, doesn't generate summaries and to-dos, and can't answer follow-up questions—you still have to organize after recording.

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

Pitfall 1: Only looking at official accuracy. We recommend testing with a real meeting recording of your own, especially the mixed Chinese-English part.

Pitfall 2: Ignoring proper nouns. Product names, internal codes, and people's names are most prone to errors. When choosing a tool, look for hotword or custom vocabulary features.

Pitfall 3: Thinking a transcript means it's organized. A transcript is just raw material; summaries, chapters, to-dos, and Q&A are where time is saved.

Pitfall 4: Team sharing a personal account. It seems to save money, but in reality, data ownership, handover after resignation, and usage will all be messy. What a team version should look at is the design of spaces, roles, and seats.

Conclusion: Which one should you choose?

• Chinese meetings, mixed Chinese-English, need transcripts plus post-meeting organization → Tinrec, this is its home turf.
• Want to use AI to ask key points right after recording, don't want to manually flip through → Tinrec's AI Q&A is a rare feature currently.
• Don't want a meeting bot to join the meeting → Tinrec desktop captures system audio.
• Need to use both mobile and computer, want data to stay with the team → Tinrec, multi-platform plus team space.
• Zero budget, only real-time dictation → Google Docs voice typing is enough; meetings almost all in English → Otter.ai.

We recommend trying a round with your own meeting recordings first, especially the Chinese and mixed Chinese-English segments. Deciding whether to pay after trying is more accurate than any review.

References

• Speech-to-Text: AI voice input and transcription | Google Cloud
• Speech to Text - How to quickly convert online audio to text - cSubtitle
• Three free online speech-to-text tools for real-time Chinese dictation notes
• Voice In - Speech to Text - Chrome Web Store
• Speechnotes | Cantonese | Speech to Text Online Notepad