2026 Comparison of 3 Hakka Speech Recognition and Post-Meeting Tools: How to Match Six-Accent Support with Meeting Follow-Up?

When choosing a Hakka speech recognition tool, the first thing to consider isn't actually "which one is most accurate," but two things: which accent you need to recognize, and what you plan to do with the transcribed text afterward.

Taiwanese Hakka is often divided into six accents: Sixian, Hailu, Dapu, Raoping, Zhao'an, and South Sixian. Each accent has different initials, finals, and tones. The same word pronounced in a different accent can produce very different results.

So the phrase "supports Hakka" has limited reference value. What you really need to ask is: which accents does it support, can it accept uploaded audio files, and is there a next step after recognition?

This article looks at three tools you'll actually encounter: Gohakka, a Taiwan Hakka-specific tool; the Council of Hakka Affairs' Taiwan Hakka Speech Database online real-time translation; and Tinrec, which we normally use for organizing meeting notes. The final section directly tells you which one to use in which situation.

The real pain of Hakka meeting notes isn't "recording"—it's "re-listening"

After recording a one-hour Hakka interview, the real time is spent afterward. To confirm what a sentence actually means, you have to drag through the audio from the beginning, listening back and forth three or four times.

If only one or two people on the team understand that accent, it gets even more troublesome—note-taking becomes the work of a few, and everyone else can only wait.

Another situation is when Mandarin is interspersed in a Hakka meeting. When discussing technical terms, numbers, or product names, people automatically switch back to Mandarin. If the tool only recognizes one language, the transcript will be a mess throughout those segments.

First figure out whether you need to solve "not understanding" or "not finishing organization," and the result of your tool selection will be completely different.

Before choosing a Hakka speech recognition tool, understand these 4 key points

1. How many accents it supports is more important than supporting Hakka

The differences among the six accents aren't just pronunciation. Tone values differ, and the text of the same sentence may not match. When choosing a tool, look directly at which accents it lists, not just the four words "supports Hakka."

2. Whether it can accept uploaded audio files

Real-time microphone recognition is suitable for live situations, but most people need to process already-recorded audio files. Whether you can upload directly determines whether you need to re-record afterward.

3. Whether there's a next step after recognition

Having only a transcript means trading re-listening time for reading time. Tools with summaries, chapters, and action item extraction truly save time.

4. Who ultimately holds the data

Things in personal accounts scatter once the person leaves. If an entire team needs to share Hakka interviews, teaching recordings, or meeting notes, confirm whether the tool has team spaces and member management.

After reviewing these four points, you can already filter out most options.

Tinrec — For the post-recognition stage, we most recommend using it to wrap up

Let's be clear about its positioning first: Tinrec is an AI meeting notes and collaboration tool for individuals and teams, supporting web, desktop, and mobile. Its strength is transcription, summarization, and post-meeting organization for Chinese and multilingual meetings; it is not a Hakka-specific recognition tool.

I think this needs to be said honestly. If you have pure Hakka interview recordings, leave Hakka recognition to specialized services; Tinrec's place is in scenarios where "the meeting itself is mainly in Mandarin or mixed Chinese-English," as well as post-event data organization and team follow-up.

Features you'll actually use

Open the desktop version during a meeting, and it directly captures computer system audio. It can handle online meetings like Zoom, Google Meet, Microsoft Teams, and Webex without inviting another meeting bot into the room. This is very practical for teams that need to keep meetings clean.

After the meeting, AI automatically generates summaries, chapters, and action items. Who is responsible for what and when it's due is listed directly, so you don't have to listen to the recording again to find out.

Even better is AI Q&A. After recording, you can directly ask it "What was the conclusion of the budget discussion last time?" and it will give you an answer, not throw a bunch of keywords at you to dig through yourself. Among similar tools we've used, this is one of the few features we actually use every day.

The team collaboration part

If you're a Hakka promotion organization, teaching team, or research team, daily meetings are mostly still conducted in Mandarin, and that's where the value of the team version comes in. Meeting data belongs to the team, and new members can directly view historical data after joining; administrators can manage members, roles, and seats, and view usage trends and activity logs.

Note that the team version distinguishes between "roles" and "seats": members without seats can still view, play, and read team data, but cannot upload, edit, or export. Also, it's currently team-level sharing, not fine-grained file-level permissions—know this before evaluating.

Pricing and limitations

The personal version has a free version to try basic quotas, a weekly card for short-term intensive use, and Pro monthly and annual cards for regular users. The team version is USD 29.80 per paid seat per month, or USD 199 per paid seat per year (equivalent to about USD 16.58 per month). Each paid seat provides 2,000 minutes of team shared import quota per month, and real-time recording under an active plan is currently not deducted by minute. Eligible teams get a 7-day trial, 1 free seat, and 300 minutes of shared import quota for the first time. Actual prices and benefits are subject to the official purchase page.

Who it's for

Teams whose meetings are mainly in Mandarin or mixed Chinese-English, who need post-meeting summaries and action items, and who want meeting data to stay in a team space rather than scattered across personal phones.

Besides Tinrec, what other options specifically handle Hakka?

Gohakka

A Taiwan Hakka-specific speech service offering two major functions: speech recognition and speech synthesis. It supports six accents: Sixian, Hailu, Dapu, Raoping, Zhao'an, and South Sixian. It can also directly upload audio files and convert them to Hakka text, and supports customized speakers. For recognizing pure Hakka content, this is currently the most fitting choice.

The limitation is that its positioning is speech-to-text conversion; team spaces, member seats, and post-meeting action items are not its focus. To turn meeting data into team assets, you still need another tool.

Taiwan Hakka Speech Database Online Real-time Translation (Council of Hakka Affairs)

The Council of Hakka Affairs began building the Hakka corpus at the end of 2017 (ROC year 106) and introduced speech AI technology in 2021, completing the Taiwan Hakka Speech Database in two phases. The online real-time translation page provides real-time speech recognition and speech synthesis. Real-time recognition allows a maximum single speaking time of 30 seconds, and speech synthesis allows replaying and re-downloading from nearly 10 historical results.

It's suitable for short sentence testing, pronunciation confirmation, and teaching demonstrations, but it's not quite enough for organizing a full interview, and it lacks post-meeting processing like summaries or action items.

Ministry of Education Taiwan Hakka Dictionary

This is not a recognition tool but a reference site for looking up words and proofreading. After recognition results come out, use the dictionary to confirm character usage and accent spelling, which can save a lot of back-and-forth corrections. It's a complementary relationship with the two tools above, not a replacement.

Pitfall Guide: The 3 most common mistakes when choosing Hakka speech recognition

Pitfall 1: Assuming general speech recognition can handle Hakka

General meeting transcription tools support Mandarin and English well, but when encountering the tone differences of the six Hakka accents, whole segments often go wrong. The reverse is also true: Hakka-specific tools won't organize your team meeting data. Don't expect one tool to handle everything.

Pitfall 2: Only looking at "supports six accents" without testing with your own recording

The support list is one thing; your recording environment is another. Multiple people talking over each other, air conditioning noise, and microphone distance all affect results. We recommend testing with a real recording of yours, not just reading the official website description.

Pitfall 3: Thinking it's over once you have a transcript

A transcript is just raw material. Without summaries, chapters, and action items, you still have to manually re-read after the meeting. This is also why we ultimately keep meeting notes in Tinrec—it handles the "post-recognition" stage, and that stage is often where the time goes.

Conclusion: How should you actually choose?

One-sentence conclusion: Leave Hakka recognition to Hakka-specific tools, and leave meeting organization and team follow-up to Tinrec.

• To recognize Taiwan's six Hakka accents and upload existing audio files → Gohakka
• Just want to quickly test a sentence and confirm pronunciation → Taiwan Hakka Speech Database Online Real-time Translation (30 seconds per session)
• Need to proofread character usage and accent spelling → Ministry of Education Taiwan Hakka Dictionary
• Meetings mainly in Mandarin or mixed Chinese-English, need post-meeting summaries, action items, and follow-up questions → Tinrec
• Team with multiple people needing seat management, shared meeting data, and usage tracking → Tinrec Team Version

Honestly, Hakka tools have improved a lot in recent years, but no single tool can yet do both six-accent recognition and team collaboration well. Rather than looking for that non-existent all-in-one tool, it's better to split the process into two stages and use each tool's strengths.

If you already have Hakka recognition results, the next step is to turn them into data the team can use. You can try running a meeting note with Tinrec's free version first, and consider upgrading if the workflow feels smooth.

References

• Gohakka | Taiwan Hakka Translation
• Ministry of Education Taiwan Hakka Dictionary
• The Phonetics of Hakka 4.0 Introduction: The description and presentation of speech must rely on a phonetic system. This book uses the International Phonetic Alphabet (Internatio
• Taiwan Hakka Speech Database
• Online Real-time Translation - Taiwan Hakka Speech Database