4 Speech-to-Text Tools Tested for 2026: Is Yating Transcript Good? Which Saves the Most Time After Meetings?

Is Yating Transcript good? From the perspective of a mid-level manager who holds 15 meetings a week, I tested four speech-to-text tools: Yating Transcript, Tinrec, Otter.ai, and Notta. I compared them on Traditional Chinese and Taiwanese Hokkien recognition, post-meeting summaries and action items, AI Q&A, team collaboration, and pricing. I also compiled selection criteria and 3 common pitfalls to help you decide which one truly saves time on post-meeting organization.

Productivity Tips
QING
October 24, 2026
59 min
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Last Wednesday I had three back-to-back meetings and was still at my computer at 7 PM organizing notes

Last Wednesday I was in meetings from 10 AM to 5 PM: project progress, cross-department coordination, and quarterly report pre-scheduling with my boss. The meetings themselves went fine; the problem was afterward. At 7 PM I opened my laptop, faced three audio files and a pile of scattered notes, and hadn't written a single word of the meeting minutes due the next morning.

If you also manage a team, this scene probably looks familiar:

  • Two-hour meeting, two more hours organizing, and the organizing always falls at the time you least want to work overtime.
  • Your boss casually asks "What was the conclusion on that thing last time?" and after three minutes of flipping through notes you still can't find who said what.
  • You verbally assign something to a subordinate in a meeting, ask about progress two days later, and they say "I thought it was next week."

This isn't a memory problem; it's a problem of "meeting content not being preserved in a usable form." The recording is saved, but recordings can't be searched, skimmed, or turned directly into action items. In this article, I'll use my team's hands-on testing experience to answer the question many people search for: Is Yating Transcript actually good, and how do the other tools really differ?

Before Choosing a Speech-to-Text Tool, Understand These 4 Things

1. Does it recognize "what you say in meetings" or "what a news anchor says"? Many tools perform well in quiet environments with standard Mandarin, but fail in real meeting rooms: air conditioning noise, keyboard clicks, a sudden sentence in Taiwanese Hokkien, mixed Chinese-English product terms. For Taiwanese teams, whether it can handle Taiwanese accents and language mixing is more important than the official accuracy numbers.

2. Transcripts are only half the product; post-meeting output is what you're buying If a tool only gives you a transcript, you still have to re-listen, pick out key points, and list action items yourself—saving only the typing part. What really sets tools apart is summaries, chapters, action item extraction, and whether you can directly ask questions about the meeting content.

3. How the meeting is recorded There are two common approaches for online meetings: one is to send a meeting bot into the meeting room, and the other is to capture system audio directly from your computer. With the former, clients see an unfamiliar account on the participant list; with the latter, no one is disturbed. This is especially noticeable in external meetings.

4. How quotas are calculated and how seats are allocated Free versions usually have per-session or monthly limits, and paid plans require checking whether they charge by minutes or by seats. If you want the whole team to share meeting data, also confirm whether there's a real team workspace rather than everyone sharing one set of credentials.

Tinrec (Miao Ting Recording) — The One My Team Kept

In one sentence: Tinrec (Miao Ting Recording) is an AI meeting notes and collaboration tool for individuals and teams, available on web, desktop, and mobile. I kept it not because its transcription is incredibly accurate, but because it connects "the post-meeting part."

No need to pull a bot into the meeting. The desktop version directly captures system audio, so Zoom, Google Meet, Microsoft Teams, and Webex meetings can be recorded as they play on your computer, and no unfamiliar account appears on the participant list. Previously, with bots that join meetings, clients often asked "Who is that account?"—now that awkwardness is gone.

After the meeting, summaries and action items are already there. It produces a transcript while recording and automatically generates summaries, chapters, and action items when finished. My old approach was to leave the recording and re-listen for an hour when writing minutes; now I open the summary first to check, and only go back to listen to sections I have questions about. For cross-language meetings, it also offers real-time translation, viewable in original, translated, or bilingual mode.

The most useful feature is AI Q&A. Last month during a budget review, I directly asked "Which meeting mentioned the budget cap, and what was the number?" It gave the answer and pointed back to the original paragraph—no need to Ctrl+F through a 40-minute transcript guessing keywords. This is something most transcript tools in the same price range haven't achieved.

Output can be brought into your existing workflow. Transcripts, summaries, and action items can be exported in common formats and sent to Notion, Google Docs, OneNote, or Dropbox for further editing; you can also use Agent post-processing to generate reports, tables, or draft meeting minutes from meeting content.

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The team version solves the "data ownership" problem. If meeting data needs to be shared across the department, the team version is an independent team workspace, not multiple people sharing a personal account: you can create multiple teams, invite members via link, set owners/admins/regular members, and distinguish roles and seats—members without seats can still view and play team data, but need a seat to record, upload, edit, and export. The admin side also shows usage trends, member rankings, team hot words, and audit logs; when a member leaves, data stays with the team and is handed over to others. Currently, the team version offers a 7-day trial for first-time eligible users, 1 free seat, and 300 minutes of shared import quota; paid monthly is USD 29.80 per paid seat per month, annual is USD 199 per paid seat per year (about USD 16.58/month), each paid seat includes 2,000 minutes of team shared import quota per month, and real-time recording is currently not deducted by minutes under an active team plan. Actual prices and benefits are subject to the official purchase page.

I'll also be clear about limitations. First, it doesn't promise a fixed accuracy rate; errors still occur in noisy environments, with multiple people talking over each other, or with obscure technical terms—I habitually verify important numbers against the original text. Second, importing documents and web links consumes shared import minutes, and bulk processing of long documents is not its strength. Third, the free version only provides basic quota; long-term or high-frequency use requires payment (weekly card, Pro monthly, Pro annual available depending on tasks).

Who it's for: People who have regular weekly meetings, need to submit minutes afterward, need Chinese and mixed Chinese-English meetings, and want data to accumulate as team assets.

Besides Tinrec, What Other Options Are There?

Yating Transcript

A Traditional Chinese speech-to-text service built by Taiwan AI Labs, a rare representative work from a local team. In media tests, its "speaker identification" was the strongest among three tools, and punctuation and sentence segmentation were quite good. Although Taiwanese Hokkien overall accuracy still has room for improvement, it correctly recognized words like "四界看" as "四處看看"—looking closely, the results are actually surprising. So "Is Yating Transcript good?"—if you want accurate Traditional Chinese, understanding of Taiwanese accents, and affordable pricing, it is indeed good; the free version has time limits, sufficient for daily meetings and interviews. But its positioning is to convert voice to text; automatic summaries, action item extraction, and AI conversational queries are relatively basic, and you still have to organize yourself after recording. Additionally, early reviews noted weaker punctuation handling, but recent media tests show clear improvement; before buying, try it with your own recording.

Otter.ai

A veteran choice for English meetings. The free version offers 300 minutes per month, quite generous; Pro annual is about USD 8.49 per user per month, including 1,200 minutes per month and 10 file imports. If 90% of your meetings are in English, it's a good deal. But it doesn't focus on Chinese and Taiwanese Hokkien recognition, nor does it have desktop bot-free system audio capture—details tuned for Chinese scenarios.

Notta

Excels at multilingual transcription and translation. Free version offers 120 minutes per month but limits single content to 3 minutes; Pro annual is about USD 8.17 per month, 1,800 minutes per month. Suitable for those mainly needing file transcription and subtitles. However, it lacks Tinrec's meeting-centric AI Q&A and post-meeting output generation workflow, and team governance (roles, seats, auditing) is not its focus.

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

Pitfall 1: Only looking at official accuracy claims. That number is usually measured in a quiet recording studio. Real meeting rooms have air conditioning noise, people talking over each other, and mixed Chinese-English product codes—performance will noticeably decline. The right approach is to test with a recording of your own meeting, and test the most difficult segment.

Pitfall 2: Thinking a transcript equals meeting minutes. A transcript is raw material; meeting minutes are the finished product. If you only buy "speech-to-text," you'll still spend time re-listening to grasp key points—this is why many people use tools but still feel "organizing is exhausting." When choosing a tool, make summaries, action items, and Q&A the main scoring criteria.

Pitfall 3: Ignoring teams and permissions. Personal use is fine, but once shared with a department, confirm whether data belongs to the team or individual, how data is handed over when members leave, and whether there are seats and usage management. The money saved by using a shared account usually comes back doubled when data gets messy.

Conclusion: Which One Should You Choose?

Back to the original question. My answer is direct:

  • Need Traditional Chinese transcription with Taiwanese Hokkien and Taiwanese accents, limited budget: Yating Transcript is a reasonable choice, but be prepared to "organize yourself after the meeting."
  • Want automatic post-meeting summaries, action items, and the ability to ask questions about the meeting: Tinrec currently has the most complete workflow; AI Q&A is where it stands out.
  • Don't want to pull a bot into online meetings: Tinrec desktop directly captures system audio, especially noticeable in external meetings.
  • Need to use on mobile, computer, and web: Tinrec has all three, and meetings and files can be stored in the same database.
  • Whole department needs to share meeting data: Look directly at Tinrec team version; the key is not minutes but roles, seats, usage, and auditing.
  • 90% of meetings are in English: Otter.ai is still a good deal; this is one of the few scenarios in this article where I'd recommend it.

My own approach is to start with the free version, validate with two or three real meetings whether it's sufficient for your accent and meeting style, and then discuss upgrading if it fits. Tools won't help you hold meetings, but they can help you leave work earlier after meetings.

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