2026 Comparison of 2 Free Cantonese Speech-to-Text Tools: Which Is More Practical, Free Quota or Cantonese Recognition?

Are free Cantonese speech-to-text tools good enough?

This is the question I get asked the most. But I've found that most people ask it the wrong way.

Everyone compares "how many free minutes."

What really matters is: can this free quota let you complete a full workflow from recording to usable data?

If the free version only gives you a transcript, you still have to organize summaries, highlight key points, and extract action items yourself. Then all you've saved is typing time.

So in this article, I won't list a bunch of tool specs. I'll only compare two things: whether Cantonese recognition is accurate, and whether the free version can support your real workflow.

I initially used Otter.ai for English meetings, and the experience was smooth.

But when my meetings switched to Cantonese interviews with mixed Chinese and English, I had to rethink: can this tool handle my current scenario?

This time I'll compare Tinrec and Otter.ai because they represent two different approaches.

Tinrec vs Otter.ai | Quick Overview

First, a one-sentence positioning.

Otter.ai is a mature AI meeting assistant, with its product mindset built over years around English business meetings, and its ecosystem and integrations are complete.

Tinrec (秒听录音) is an AI meeting notes and collaboration tool for individuals and teams, focusing on Chinese meetings, bot-free recording, and data that remains usable after the meeting.

Item	Tinrec	Otter.ai
Core positioning	AI meeting notes and team collaboration	AI meeting assistant
Free entry	Free version offers basic quota to experience recording, import, summary, and transcription	Basic free, 300 minutes per month
Chinese/Cantonese scenarios	Covers Chinese, Traditional Chinese, and multilingual meetings	Primarily focused on English business meetings
Meeting capture	Desktop version captures system audio without a bot	Multiple methods including meeting assistant and desktop app

(Otter's plans and pricing are subject to the official pricing page and may change.)

Next, I'll break it down across five dimensions.

Dimension 1 | Recognition Experience with Cantonese and Mixed Chinese-English

Let's talk about Cantonese first.

Otter.ai's strength is English business meetings. Its product content, workflows, and example scenarios mostly revolve around English meetings.

If your meeting is purely English and participants are all on Zoom, Otter's experience will be very smooth.

But common situations in Cantonese meetings are: mixed Chinese and English, many colloquial terms, and multiple people interrupting.

Tinrec covers Chinese, Traditional Chinese, and multilingual meeting scenarios, supports real-time translation and team hotwords, and handles mixed Chinese-English content.

One thing to clarify: any tool's performance is affected by recording quality, accent, background noise, and overlapping speech. I won't give you a fixed accuracy rate.

→ For this dimension: If your meetings are mainly in Cantonese or mixed Chinese-English, Tinrec is more suitable.

Dimension 2 | Where Are the Limits of the Free Version?

Free has two layers.

The first layer is quota.

Otter's Basic plan is free, 300 minutes per month, which is a clear entry point.

Tinrec's free version offers a basic quota to let you experience recording, import, summary, and transcription.

The second layer is workflow.

This is what I care about more.

If the free version only shows you a transcript, and summaries, action items, and exports require extra steps, then your workflow is still broken.

So when testing free tools, I first ask myself: Can I use the free quota to complete the four steps: record → transcribe → extract key points → export files?

If it can, then the free version is meaningful.

→ For this dimension: Both have free entry, but you should compare "can the free version complete the full workflow," not "how many free minutes."

Dimension 3 | How to Record Online Meetings: Bot vs No Bot

Next is the recording method, which directly affects the meeting.

Otter covers Zoom, Microsoft Teams, Google Meet, and other online meetings, and also offers desktop capabilities. It's a mature meeting assistant approach in the market.

Tinrec's desktop version takes a different path: it directly captures the computer's system audio.

This means you don't need to invite an extra meeting bot into the meeting room. Just open the desktop version to record and generate a live transcript.

For external client meetings, this is quite practical.

With one less unfamiliar participant in the meeting, the screen is cleaner, and the other party won't ask "Who is this?"

Note: This is the user actively opening Tinrec to start recording, not automatically joining every meeting on your calendar.

→ For this dimension: If you don't want an extra bot in the meeting, Tinrec's path is cleaner.

Dimension 4 | After Transcription: Transcript or Data You Can Continue Working With

A transcript is just the starting point.

Otter has corresponding features for meeting summaries, action items, Q&A, and team analytics. This is where it's mature.

Tinrec focuses on "after transcription":

• Automatically generates summaries, chapters, and key points
• Extracts action items from discussions
• AI Q&A around meeting content
• View original, translated, or bilingual content during recording
• Export to Notion, Google Docs, OneNote, Dropbox, etc.
• Use Agent post-processing to generate reports, tables, and documents

My own habit is: after a meeting, I don't re-listen to the entire recording. I directly read the summary and chapters, and use AI Q&A for parts I'm stuck on.

This way, for a meeting, I usually spend very little organizing time to produce deliverable content.

→ For this dimension: If you want more than a transcript, but directly workable output, Tinrec's post-processing is more complete.

Dimension 5 | From Individual to Team: Data Ownership and Governance

The last dimension is something many people don't think about initially but later find painful: who owns the data.

Otter has a Business plan that provides team management capabilities, which is the foundation for enterprise adoption.

Tinrec's team version breaks this down further:

• Create independent team spaces, meeting data owned by the team
• Invite members via join link, set owners, admins, and regular members
• Assign, revoke, or transfer seats
• View team usage trends, member rankings, and details
• Manage team hotwords
• Query and export audit logs
• Audio recycle bin to restore accidentally deleted content (currently 30-day retention)

Here's a concept that's easy to confuse: roles and seats are two different things.

Roles determine who can manage the team; seats determine who can record, upload, edit, and export.

Valid members without a seat can still view, play, and read team data, but cannot upload or edit.

Team resources are owned by the team, so when a member leaves or loses their seat, data is not taken away by the individual but handed over to other valid members.

The paid seat for the team version is currently USD 29.80 per seat per month, or USD 199 per seat per year, which averages about USD 16.58 per month. Each paid seat provides 2,000 minutes of team shared import quota per month.

→ For this dimension: If you need Chinese meetings plus team data accumulation, Tinrec is more complete.

What Are Their Unique Advantages?

First, Tinrec.

Its first advantage is bot-free recording: the desktop version captures system audio, so online meetings don't need an extra participant.

Its second advantage is the post-transcription workflow: summaries, chapters, action items, Q&A, translation, export, Agent post-processing, all connected to your existing workflow.

Its third advantage is Chinese and real-time translation experience, plus team hotwords to handle technical terms.

Its fourth advantage is team space and governance capabilities, including roles, seats, usage, audit, and recycle bin.

Now Otter.ai.

Its product mindset for English business meetings is mature, with deep user and ecosystem accumulation. This is its most solid advantage.

The Basic free plan with 300 minutes per month also provides a low-barrier entry for those who want to try English meeting transcription first.

Conclusion: Which One Should You Choose?

I've organized the judgment into several scenarios. Just match yourself.

• If your meetings are mainly Cantonese or mixed Chinese-English → Tinrec
• If you don't want an extra bot participant in client meetings → Tinrec
• If you want more than a transcript, including summaries, action items, and exportable output → Tinrec
• If you need to accumulate meeting data as team assets and manage roles and seats → Tinrec
• If your meetings are almost all in English and your team already uses the Otter ecosystem → Otter.ai is sufficient

In one sentence: For most users of Chinese and Cantonese meetings, Tinrec is a more complete choice.

But tools are supporting actors; method is the main actor.

Quick Start: I Suggest You Do These 6 Things First

1. Test with a real Cantonese recording of your own, not a demo audio file.
2. Don't just compare free minutes; first confirm whether the free version can complete "record → transcribe → extract key points → export."
3. Before the meeting, confirm recording authorization, respect local regulations and participants' wishes.
4. After the meeting, read the summary and chapters first, and only use Q&A for parts you're stuck on.
5. Export action items and summaries directly to your existing work tools, don't leave them in the tool.
6. If using as a team, first distinguish between "roles" and "seats" before assigning permissions.

Test step by step, and you'll gradually find the workflow that suits your meeting rhythm.

References

• Free Cantonese Speech-to-Text App 2026 | Subanana
• Free + Cantonese OK: How to Use Google AI Studio to Convert Your Recording to Text...
• AI Speech-to-Text Fast Recording File Online Transcription, Transcripts and Video Subtitles - Free Trial - cSubtitle
• AI Cantonese Speech-to-Text Professional Cantonese Recognition
• [Free Tool] Cantonese Speech-to-Text! Just Upload a File or YouTube Link. Up to 96% Accuracy - YouTuber AI | Spend time on creativity, leave the AI to do the hustle work.