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Many people think AI meeting notes means "throw in the recording and wait for the transcript to pop out."
Honestly, I've tried that. The result was an 8,000-word running log, and after reading it, I still didn't know who was supposed to do what.
Pitfall #1: Treating the transcript as meeting notes. A transcript is raw material, not a finished product.
Pitfall #2: Handing it off to AI and not checking. Summaries are most likely to miss negative and conditional statements like "not doing it now," "wait until legal approves before going live," or "don't send yet"—and a whole meeting gets recorded backwards.
Pitfall #3: Waiting until the next day to organize. Notes should be completed within 24 hours; delay too long and even you forget what the conclusions were.
A more reasonable approach: define the notes format before the meeting (decisions, owners, deadlines, open items), during the meeting just let AI transcribe reliably, and after the meeting spend 10 minutes manually calibrating—filling in what AI couldn't guess.
In this article, I compare Tinrec and Otter.ai, discussing both "how to actually do AI meeting notes" and "which of these two to choose."
Tinrec vs Otter.ai | Quick Overview
One-sentence positioning: Tinrec is an AI meeting notes tool focused on Chinese meetings and team knowledge retention; Otter.ai is one of the most mature AI meeting assistants on the market, with deep experience in English business meetings.
| Item | Tinrec | Otter.ai |
|---|---|---|
| Meeting capture method | Desktop version captures system audio directly, no bot needed to join | Meeting assistant joins online meetings; desktop app also available in recent years |
| Chinese language scenarios | Chinese, Traditional Chinese, multilingual, real-time translation, team hotwords | Product design and market perception have long centered on English business meetings |
| Pricing | Free personal plan; team plan USD 29.80 per paid seat per month | Basic free 300 minutes/month; Pro annual billing equivalent to USD 8.49 per user per month |
Below I break it down into 5 dimensions: meeting capture method, mixed Chinese-English handling, post-meeting transformation from transcript to actionable notes, team knowledge retention and governance, and cost structure.
Dimension 1 | Meeting Capture: An Extra Bot or No Bot
Otter's most well-known use is having a meeting assistant join online meetings as a "participant." This model is mature, and the advantage is broad platform coverage; the downside is that when meeting with clients or external partners, an extra recording bot on screen can feel awkward to some. Otter now also offers desktop capabilities, so it's not just the bot route anymore.
Tinrec takes a different path: the desktop version directly captures the computer's system audio, handling Zoom, Google Meet, Microsoft Teams, Webex, and other online meetings without adding a bot to the meeting. Note that this doesn't mean "automatically joins all meetings"—you still need to open Tinrec and start recording yourself.
For internal meetings or those worried about clients asking "who is that AI that joined the meeting," having no bot is a hassle-saver.
→ This dimension: Tinrec's capture method is cleaner; no need to explain to participants.
Dimension 2 | Mixed Chinese-English and Real-Time Translation
Otter's strength is English business meetings—when a speaker mixes three product codes and five abbreviations into one sentence, it handles it well. But switch to Chinese meetings, mixed Chinese-English, Taiwanese accents plus technical terms, and whether it works smoothly you'll have to test yourself; I won't guess for you.
Tinrec focuses on Chinese, Traditional Chinese, and multilingual meetings. During recording, you can switch between original text, translation, or bilingual view. The team plan also includes hotword management, so you can feed in internal product codes and client abbreviations beforehand.
Actual performance is still affected by recording quality, accents, background noise, and overlapping speakers—don't expect zero editing. Important names, amounts, and deadlines must be checked against the transcript timestamps and recording.
→ This dimension: If Chinese meetings are the main use case, Tinrec aligns better.
Dimension 3 | Post-Meeting: From Transcript to Actionable Notes
This is the core of "how to do AI meeting notes" and where most people go wrong.
Truly usable notes should at least clearly state: what was decided, who is responsible, when it's due, what's still undecided, and how the original data is stored. Status should also be clear—"proposal," "leaning toward," "decided," and "pending confirmation" should not be mixed up. Someone saying "we could consider A" doesn't mean the team has decided on A.
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Otter provides summaries, action items, and AI Chat—the basics are there. Tinrec, beyond summaries and chapters, also extracts to-dos, supports AI Q&A around meeting content, and can use Agent post-processing to generate reports, tables, and documents, exporting to Notion, Google Docs, OneNote, Dropbox for further work.
My actual workflow runs like this:
- Before the meeting, set up the template: decisions / owners / deadlines / open items—just four columns.
- During the meeting, open the desktop version and record directly, without inviting any bot into the meeting.
- Within 10 minutes after the meeting, review the summary and chapters, and first grab decisions and to-dos.
- Manual calibration: add verbs, deliverables, owners, deadlines, completion criteria; specifically search for "not," "first," "wait," "if" to confirm negatives and conditions weren't missed.
- Output: send the minutes document directly, or drop it into the team space for retention.
Step 4 must not be skipped. AI can save you time, but it cannot make decisions on behalf of the host that never happened.
→ This dimension: Both have summaries, but Tinrec goes further in "post-summary processing and export."
Dimension 4 | Team Knowledge Retention and Governance
The biggest pain for small teams: meeting data scattered across personal accounts, LINE groups, and someone's computer—when a person leaves, the data is cut off.
Otter's Business plan offers unlimited meetings and in-app recording, plus more import and management capabilities; its team features are mature.
Tinrec's team plan is a separate team space, not multiple people sharing one personal account. You can create multiple teams, invite members via link, set owners/admins/regular members, and distinguish "roles" from "seats"—roles manage governance, seats control whether one can record, upload, edit, and export. Members without seats can still view, play, and read team data, but cannot use resources. When a member leaves or is removed, their team resources must be handed over to other active members and won't disappear with them.
There are also team usage trends, member rankings, details, audit logs, and a 30-day retention audio recycle bin. Note that currently it's team-level sharing, not file-level granular permissions—don't expect to set individual visibility for a single file.
→ This dimension: For small teams needing seat management, usage tracking, and operation logs, Tinrec's setup fits better.
Dimension 5 | How to Calculate Cost Structure
Otter Basic is free for 300 minutes per month; Pro annual billing is equivalent to USD 8.49 per user per month, including 1,200 minutes of in-app recording per month and 10 file imports; Business pricing varies with promotions—check the official page.
Tinrec personal plans include free, weekly, Pro monthly, and Pro annual, choose by usage frequency; team plan offers a 7-day trial for first-time eligible users, 1 free seat, 300 minutes of shared team import quota, then USD 29.80 per paid seat per month, or USD 199 per paid seat per year (about USD 16.58 per month), with each paid seat providing 2,000 minutes of shared team import quota per month. Under an active team plan, real-time recording currently does not deduct minutes; only file and web imports consume shared quota.
Purely comparing per-minute price, Otter Pro is indeed cheaper. But if what you're buying is "Chinese meetings + bot-free recording + post-meeting organization and team retention," you can't just convert by minutes.
→ This dimension: For English-only meeting transcription, Otter is cost-effective; for the entire post-meeting workflow, Tinrec's money goes elsewhere. It's a tie.
What Unique Advantages Does Each Have?
Tinrec's advantages:
- Bot-free desktop recording—no extra participant in online meetings, especially noticeable for external meetings.
- Chinese, Traditional Chinese, mixed Chinese-English, and real-time bilingual view, plus team hotwords to teach technical terms in advance.
- Beyond transcripts: summaries, chapters, to-dos, AI Q&A, and Agent-generated reports and tables.
- Team space combines members, roles, seats, usage, audit, and recycle bin—data belongs to the team, not individuals.
Otter's advantages:
- Maturity and user base in English business meetings; teams speaking mainly English get up to speed quickly.
- Complete integration and workflow ecosystem; Business plan is generous with meetings and in-app recording.
Conclusion: Which Should You Choose?
• If your meetings are mainly Chinese or mixed Chinese-English → Tinrec (real-time bilingual + team hotwords align better) • If you don't want clients to see an extra AI bot in the meeting → Tinrec (desktop captures system audio) • If you want to-dos, Q&A, reports, and export after the transcript → Tinrec (longer post-processing and export path) • If you're an 8-person team needing seat management, usage tracking, and operation logs → Tinrec team plan (roles and seats managed separately) • If your team speaks English throughout and only needs mature, stable meeting summaries → Otter.ai is sufficient, and Pro unit price is lower
In one sentence: For most small teams holding Chinese meetings in Taiwan, Tinrec is the more complete choice.
But don't rush to trust anyone's review, including mine. I suggest using the free quota to test with three real meetings—a regular weekly meeting, a multi-person cross-discussion, and a project meeting with Chinese-English technical terms—comparing transcripts, decisions, owners, deadlines, and deletion processes, rather than just whether the summary reads smoothly.
One final reminder: inform participants and get consent before recording. For sensitive meetings, if data storage and permissions are unclear, switch back to manual notes or provide only anonymized post-meeting text. AI can save you organization time, but it cannot bear data responsibility for you.
References
- How to Use AI for Meeting Minutes? How to Organize Meeting Transcripts? | AI Speech-to-Transcript Tutorial | 104 Career Power
- AI Meeting Minutes Generator
- Organizing Meeting Minutes Is Painful? 5 NotebookLM "AI Note Transformation" Tricks, Accurate Translation Even with Mixed Chinese-English and Technical Terms | BusinessNext
- How to Do AI Meeting Notes? Complete Tutorial from Writing Principles, Tool Selection to Automation Prompts | Manager Today
- How to Do AI Meeting Notes? Tool Selection, Process, Format, and Privacy Reminders
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