Otter Chinese Accuracy Test 2026: Is It Good Enough for Taiwan Meetings?

Have you ever done the math: a 60-minute meeting takes 60 minutes to attend, then another 30 minutes to compile the transcript and action items—only to find several errors in names and product names, forcing you to re-listen to the recording.

Otter.ai is the first AI meeting notes tool many people think of. But when meeting content is in Taiwanese Traditional Chinese, mixed with English, and full of colleagues' English names, how accurate is Otter's Chinese recognition really?

This article tests Otter's performance in Taiwan meeting scenarios and compares it with Tinrec, a tool more focused on Chinese and team collaboration, to see which fits your work habits better.

Otter.ai vs Tinrec | Quick Overview

Otter.ai is a mature AI meeting assistant, focusing on online meeting notes for Zoom, Google Meet, and Microsoft Teams, speaker identification, AI Chat, and team management.

Tinrec (Miao Ting Lu Yin) is positioned as an AI meeting notes and team collaboration tool, emphasizing bot-free desktop recording, Chinese and multilingual meetings, post-meeting summaries, action items, AI Q&A, and consolidating meeting data into team spaces.

Item	Otter.ai	Tinrec
Chinese Support	Simplified Chinese (Traditional not officially listed)	Chinese, Traditional Chinese, and multilingual
Meeting Capture	Bot joins or desktop app	Desktop app captures system audio without a bot
Post-Meeting Organization	AI summary, action items, AI Chat	Summary, chapters, action items, Q&A, multi-format export
Team Capabilities	Mature team and enterprise management	Spaces, members, roles, seats, usage, audit

This article compares across 5 dimensions: Traditional Chinese support, mixed Chinese-English recognition, names and proper nouns, post-meeting AI organization, and pricing and quotas.

Dimension 1 | Traditional Chinese Support

Otter's official language list includes Chinese (Simplified), meaning Traditional Chinese is not officially supported.

What does this mean? Taiwanese users can test with Chinese meetings, but cannot assume Traditional Chinese terms, Taiwanese accents, English abbreviations, and names will be correct. If transcripts need to be delivered directly to clients or serve as official records, subscribing without testing carries some risk.

Tinrec explicitly covers Chinese and Traditional Chinese meeting scenarios, and supports real-time translation and bilingual transcripts, making it more friendly for Taiwanese users' Traditional Chinese meetings and mixed Chinese-English content.

→ This dimension: Tinrec better fits Taiwan's Traditional Chinese needs.

Dimension 2 | Mixed Chinese-English Recognition

In Taiwan's engineering, consulting, or sales meetings, sentences like "We finished the retro after the sprint last week, and all blockers are resolved" are common.

Tests show that Otter's accuracy on such mixed Chinese-English sentences is only about 76%, and it often labels Chinese parts as English, or vice versa.

Tinrec lists mixed Chinese-English content as a key scenario, and offers team hotwords, allowing teams to maintain common terms and improve recognition of professional vocabulary.

→ This dimension: Tinrec is more practical for mixed Chinese-English and professional term management.

Dimension 3 | Names and Proper Nouns

Common Taiwanese names like "珮慈" "弘哲" "阿明" are almost always wrong on the first try with Otter, requiring users to manually add each to a custom dictionary.

Moreover, if "林經理" is consistently mis-transcribed as "林金理", Otter does not support a global find-and-replace; users must manually correct it in 10 places.

Tinrec offers team hotwords, allowing teams to uniformly maintain names, product names, and professional terms, leading to more consistent recognition in subsequent meetings.

→ This dimension: Tinrec's team hotwords are better for long-term use by Taiwanese teams.

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Dimension 4 | Post-Meeting AI Organization

Otter's AI Summary only provides a list of 5 to 10 key points, without categories like "Decisions," "Action Items," or "Open Questions."

For needs like "I want to find the follow-up points in the client meeting," Otter cannot provide further analysis.

Tinrec not only provides summaries but also automatically generates chapters, key points, action items, and mind maps. Users can continue AI Q&A around the meeting content, and even generate reports, tables, and documents, bringing meeting outcomes into subsequent workflows.

→ This dimension: Tinrec's post-meeting organization is more complete and actionable.

Dimension 5 | Pricing and Quotas

Otter Pro costs about NT$540/month, including 1,200 minutes of in-app recording and 10 file imports per month; the Basic free plan offers only 300 minutes per month.

Tinrec's personal plan offers free trials, weekly cards, Pro monthly and annual cards, suitable for different usage frequencies. The team plan is priced per paid seat, with 2,000 minutes of shared import quota per seat per month, and includes members, roles, seats, usage analytics, and audit logs.

If you're an individual using it occasionally, Otter's free quota is worth trying. But if your team needs to manage meeting data together, Tinrec's team spaces and seat design are clearer.

→ This dimension: For light individual use, both have room; for team scenarios, Tinrec is more complete.

What Are the Unique Advantages of Each?

Tinrec's unique advantages:

Bot-free online meeting recording: The desktop app directly captures system audio, no need to add a bot to Zoom, Meet, or Teams meetings.
Chinese and Traditional Chinese experience: Better suited for Taiwan's mixed Chinese-English and Traditional Chinese usage.
Complete post-meeting workflow: Summaries, chapters, action items, AI Q&A, multi-format export, and Agent post-processing all available.
Team data consolidation: Meeting data belongs to the team; when members change, data does not leave with individuals.

Otter's unique advantages:

Mature English business meeting mindset: Long-standing expertise in English meetings, speaker identification, and meeting automation.
Broader ecosystem and integrations: More mature integrations with multiple online meeting platforms and workflow tools.

Summary: Who Should You Choose?

If your meetings are primarily in Taiwanese Traditional Chinese and often mixed with English → Tinrec is more suitable.
If you want to record and then use AI to organize action items, Q&A, and export documents → Tinrec's post-meeting workflow is more complete.
If your team needs to centrally manage meeting data, members, and usage → Tinrec's team plan is clearer.
If your meetings are primarily in English and you need mature English meeting automation → Otter is still worth considering.

In one sentence: For Taiwanese users, Otter's Chinese accuracy and Traditional Chinese support still have clear limitations; if your meetings are primarily in Chinese, mixed Chinese-English, or team collaboration-focused, Tinrec is the more complete choice.

FAQ

Does Otter support Traditional Chinese?

Otter officially supports Simplified Chinese; Traditional Chinese is not listed in the official language list. Taiwanese users can test with Chinese meetings, but it's not recommended to assume Traditional Chinese terms and Taiwanese accents will be correct without testing.

What is Otter's Chinese accuracy rate?

In tests with mixed Chinese-English sentences, Otter's accuracy was about 76%. Actual performance may vary due to recording quality, background noise, accents, overlapping speech, and professional terms.

Is Otter's free plan sufficient?

The Basic free plan offers 300 minutes per month, suitable for light testing. If you have weekly meeting notes needs, Pro's 1,200 minutes will be more ample.

What is the biggest difference between Tinrec and Otter?

Otter excels in English meetings and mature integrations; Tinrec excels in Traditional Chinese and multilingual meetings, bot-free recording, and turning meeting data into searchable, collaborative team assets.

What should you pay attention to when using AI meeting notes tools?

Before recording, comply with local laws and obtain consent from participants when necessary. It's recommended to verify AI-generated summaries and action items against the original audio; do not rely solely on AI for important information.