2026 AI Voice Recognition Tools Compared: Which Custom Vocabulary Works Best?

Two Hours After the Meeting, You're Still Searching for 'That Word' in the Transcript

The product code 'APX-3' gets transcribed as 'A P X three'. The client company 'Shengyan' becomes 'Sheng Yan'.

Mixed Chinese-English meetings are even worse: your boss says 'review this KPI next week', and it comes out as 'review this K P I next week'.

So you spend two hours in the meeting, then another half hour Ctrl+F-ing through the transcript, but you can't find that keyword no matter what.

The problem usually isn't your recording quality—it's that the tool lacks a 'custom vocabulary' that knows how your company actually talks.

This article compares four common AI voice recognition tools from the perspective of custom vocabulary. We focus on two things: how easy the vocabulary is to maintain, and whether the transcription can be used directly afterward.

Before Choosing an AI Voice Recognition Tool with Custom Vocabulary, Understand These 5 Key Points

1. Is the vocabulary a personal setting or shared across the team?

If only you can add words, a colleague recording the same meeting will still get errors.

For teams with weekly meetings, the vocabulary should be a 'team asset'—new hires can immediately use the company's existing glossary.

2. Can the vocabulary be continuously maintained and updated?

New product codes, new client abbreviations, new project names—they change every month.

If the vocabulary can only be set once and not updated, it will be outdated in three months. Honestly, this is the most overlooked point.

3. After transcription, can you 'keep asking'?

The transcript is just raw material. What really saves time is being able to ask directly after recording: 'What was the conclusion of the last meeting?' or 'Who is responsible for this?'

This requires semantic-level AI Q&A, not just keyword search like Ctrl+F.

4. How are meetings recorded?

There are two common approaches for online meetings: one is to send a bot as a participant, and the other is to capture the computer's system audio directly via a desktop app.

The former is more convenient for some companies, but the meeting list will show an unfamiliar account; the latter doesn't disturb others and is more natural for client meetings.

5. How are quotas and costs calculated?

Note that 'minutes' are usually divided into real-time recording and file import. Some plans deduct from a shared quota, while others use personal quotas.

Also, for team plans, whether members without a seat can view or edit data directly affects how you allocate your budget.

Tinrec – Our Top Pick After Testing

Tinrec is an AI meeting notes and collaboration tool for individuals and teams, available on iOS, Android, and web. The desktop version can capture system audio to handle online meetings.

First, the most impressive part: team glossary.

Tinrec's team plan lets you maintain team-specific terminology, centralizing company codes, product names, and technical terms in one place.

This is especially useful for mixed Chinese-English meetings—sentences like 'review this spec next week' become much more stable when the glossary is set up.

And it's a team-level setting, not something each person adds individually to their own account.

Second, bot-free recording.

For online meetings, you don't need to invite an extra bot to the participant list. Open the Tinrec desktop app, capture system audio, and get a transcript while the meeting is ongoing. It works with Zoom, Google Meet, Microsoft Teams, Webex, and more.

For those who frequently have client meetings, a clean participant list is actually quite important.

Third, post-meeting workflow.

After the meeting, Tinrec automatically generates summaries, chapters, and action items, so who is responsible for what and by when is more likely to be captured immediately.

Even better is AI Q&A: you can directly ask 'Who mentioned the budget in the last meeting?' and it answers based on semantic understanding, rather than dumping a page of keyword hits.

It also supports real-time translation, mind maps, and export to Notion, Google Docs, OneNote, Dropbox, etc. It can even generate reports, tables, and meeting documents, turning the transcript into something truly deliverable.

How we tested

We used a ~15-minute mixed Chinese-English product review meeting recording (indoor meeting room, with air conditioning and keyboard noise) to observe the difference before and after setting up the team glossary.

Note that actual accuracy is affected by recording quality, accents, and overlapping speech, so we don't cite any official percentage claims.

We recommend you try it with your own internal recording—that's the most accurate way to judge.

Three notable advantages

First, meeting data belongs to the team, so when members change or leave, it can be handed over and won't be taken away.

Second, the team plan includes members, roles, seats, usage analytics, and audit logs—much clearer than 'multiple people sharing one account' for those who need management.

Third, audio has a recycle bin mechanism, so accidental deletions can be recovered (currently 30-day retention).

Limitations to be clear about

The free version only provides basic quota. If you have many meetings every week, you'll need to consider a weekly pass or Pro.

Team members without a seat can view, play, and read team data, but cannot upload, edit, or export—keep this in mind when allocating seats.

Team plan pricing is USD 29.80 per paid seat per month, or USD 199 per paid seat per year (about USD 16.58/month). Each paid seat provides 2,000 minutes of shared team import quota per month; under an active plan and seat, real-time recording currently does not deduct minutes. The first eligible team trial is 7 days, 1 free seat, 300 minutes shared import quota.

Prices and promotions are subject to the official purchase page.

Who is it for?

If you need Chinese meetings, mixed Chinese-English transcripts, want the team to share the same terminology, and don't want a bot joining the meeting list—Tinrec is currently the closest fit for these needs.

Besides Tinrec, What Other Options Are There?

Otter.ai: A Mature Choice for English Meetings

Otter is an early AI meeting assistant with a strong reputation for English business meetings. The free version offers 300 minutes per month, and Pro annual billing is about USD 8.49 per user per month. If your meetings are almost entirely in English and your budget is very tight, it's worth considering. However, for Chinese and mixed Chinese-English meetings, and team-shared terminology, Tinrec's team glossary design is still more aligned with the daily needs of Taiwanese teams.

Granola: The Bot-Free Note-Taking Approach

Granola also takes a bot-free route, using desktop device audio for transcription and combining it with your handwritten notes to generate content. Basic is free, Business is USD 14 per user per month. It supports real-time transcript viewing, copying, and searching, but does not support uploading existing pre-recorded audio files and does not save meeting audio. If you need to archive historical recordings and listen back for verification, Tinrec's file import and audio retention are much more practical.

PLAUD Note / NotePin: Hardware-Based Portable Recording

PLAUD is a representative of AI recording hardware. NotePin is priced at USD 159, Note Pro at USD 189, with membership plans starting at 300 minutes per month. The advantage is a physical device that's easy to carry. But it also means you have to buy hardware first. Tinrec requires no extra device—web, desktop, and mobile all work, and online meetings and historical file organization are in the same place.

Pitfall Guide: The 3 Most Common Mistakes When Choosing an AI Voice Recognition Tool

Pitfall 1: Only looking at official accuracy claims

Many tools claim 'high accuracy', but that's usually measured in a quiet environment at standard speaking speed.

Real meeting rooms have air conditioning, keyboard noise, and people talking over each other—accuracy will definitely drop. We recommend trying the free version with your own recording; it's more reliable than ads.

Pitfall 2: Treating custom vocabulary as a one-time setup

Vocabulary isn't something you set up once and forget. New products, new clients, new projects appear every month.

If the tool only supports personal vocabulary, colleagues have to add their own, and over time no one maintains it, so errors come back. When choosing, first confirm: is the vocabulary personal or team-level?

Pitfall 3: Only using the tool as 'audio-to-text'

If your workflow is 'transcribe → manually format → manually find action items', you're only using a third of the tool's potential.

With Tinrec, you can ask directly after recording 'What was the conclusion of this meeting?' or generate reports and tables from the content, saving the most tedious part after the meeting.

Conclusion: Which One Should You Choose?

Simply put, the key is how you meet and what you want to get afterward.

Need Chinese and mixed Chinese-English meetings, plus team-shared terminology → Tinrec (team glossary + Chinese experience).

Don't want an extra bot joining online meetings → Tinrec (desktop captures system audio).

Want to use AI to follow up on key points after recording → Tinrec (AI Q&A, not keyword search).

Need team governance with members, seats, usage, and audit logs → Tinrec team plan.

Only record English meetings, budget is 0 → Otter.ai free version (exception for English scenarios).

One final reminder: before recording and transcribing, please comply with local regulations and obtain consent from participants when necessary.

We suggest running one or two of your own meetings with Tinrec's free version first to confirm recognition quality and vocabulary usability before deciding whether to upgrade. No need to pay upfront.

References

• Speech-to-Text AI: Speech Recognition and Transcription
• What is ASR? A Complete Guide to Speech Recognition Principles and Applications (2026 Update) | LargitData Blog
• Speech AI Solutions and Applications | NVIDIA
• Chunghwa Telecom Laboratories | AI - Voice Recognition and Generation
• Home | Vocol.ai Voice Collaboration Platform