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Last month, I helped a friend who does product research organize interview recordings.
Three interviews, each over an hour long. The files were sitting on his phone, and he had put off opening them for two weeks.
"I've tried the free ones, but they spit out a bunch of typos, uploading files is a hassle, and I gave up halfway through fixing them."
I've heard this sentence too many times.
The problem usually isn't that free tools aren't good enough—it's that we think of "free" as all the same thing, as if just because it doesn't cost money, it should automatically turn recordings into usable text.
But there are actually many kinds of free.
Some give you a little bit of quota each day, some let you try for a few dozen minutes, some stop after transcribing the text, and there's also a kind that lets you go through the entire workflow once to confirm it works for you before moving forward.
So this article isn't about whose feature list is longest.
I want to answer a more fundamental question: when you search for "free speech-to-text AI," which part of the time are you really trying to save?
I'm comparing three tools with completely different approaches—Tinrec, which focuses on meeting notes and team collaboration; Otter.ai, which has a strong mind for English meetings; and PLAUD Note, the hardware-oriented option.
Tinrec, Otter.ai, PLAUD Note Quick Overview
Let's start with positioning, in one sentence each.
Tinrec is an AI meeting notes and collaboration tool, with a focus on "how to use it after transcription," and it offers a free version for you to experience directly.
Otter.ai is a mature AI meeting assistant with the deepest experience in English business meetings.
PLAUD Note is AI recording hardware—what you're buying is a device you can carry with you.
| Item | Tinrec | Otter.ai | PLAUD Note |
|---|---|---|---|
| Core positioning | AI meeting notes and team collaboration | AI meeting assistant | AI recording hardware |
| Free starting point | Free version offers basic quota to experience recording, import, summary, and transcription | Free version: 300 minutes per month | Must purchase device first, then discuss membership plans |
| Main platforms | Web, desktop, mobile | Online meetings and desktop | Hardware device and app |
| Best for | Chinese meetings, needing post-meeting organization and team knowledge retention | English meetings, already familiar with English workflows | Portable recording, phone call recording |
Next, I'll look at five dimensions: free threshold, Chinese language handling, how meetings are recorded, whether you can use the transcript directly after transcription, and who owns the data when teams use it.
Dimension 1 | The Free Threshold: How Much Do You Have to Pay to Start?
Otter.ai's free version offers 300 minutes per month, clearly stated. For people whose meetings are mainly in English, this free tier is already quite sufficient.
PLAUD Note's threshold isn't in software—it's in hardware. You have to buy the device first (on the US official site, NotePin is currently $159, Note Pro $189), and then the membership plans become meaningful.
Tinrec treats the free version as an entry point to "validate the workflow first": use the basic quota to run one recording, one import, see what a summary looks like, and then decide whether to go further. If you have a short-term burst of meetings or interviews, check out the weekly card; if you have steady needs every week, look at Pro; if you need long-term accumulation of recording data, then consider the annual card.
→ This dimension: To confirm the workflow at zero cost, both Tinrec and Otter.ai let you start; PLAUD Note requires paying for hardware first.
Dimension 2 | Handling Chinese and Mixed Chinese-English
Otter.ai's strength has long been in English business meetings—that's where it's most mature and hardest to replace in people's minds.
PLAUD Note's transcription experience depends largely on the combination of device and app, with the hardware itself playing a bigger role.
Tinrec can be more specific here: Chinese meetings, mixed Chinese-English, multilingual transcription, plus real-time translation during recording, allowing you to view original text, translation, or bilingual side-by-side.
There's also a small detail I care about—team hotwords. Product names, proper nouns, internal abbreviations are hard for general models to get right every time; being able to maintain your own glossary makes a big difference over time.
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Let me be clear upfront: transcription quality will always be affected by recording quality, accents, background noise, and multiple people speaking at once—this is the same for any tool, no exceptions.
→ This dimension: Tinrec is closer to the Taiwanese usage context for organizing Chinese and mixed Chinese-English content.
Dimension 3 | How Meetings Are Recorded
PLAUD Note is hardware, and its advantage is portability. Press the physical button and it records, and it can record phone calls—something pure software can't do.
Otter.ai focuses on online meetings, participating via meeting bots or desktop clients—a route it knows well.
Tinrec's desktop version directly captures the computer's system audio, so when handling meetings on Zoom, Google Meet, Microsoft Teams, Webex, etc., there's no need to pull an extra bot into the meeting room.
(Screenshot here: Tinrec desktop recording interface, arrow pointing to system audio source option)
It can also handle existing files—both audio and video can be uploaded for transcription, which is especially practical for people who "only think about organizing after the meeting is over."
→ This dimension: For both online meetings and existing files, Tinrec's coverage is more complete.
Dimension 4 | After Transcription, Can You Use It Directly?
This dimension is what I consider most critical, and where most people stumble.
PLAUD Note offers summaries, templates, and Q&A, following a "record and we'll help you organize a bit" approach.
Otter.ai has summaries, action items, AI Q&A, and team analytics—everything a meeting assistant should have.
Tinrec extends the post-meeting workflow further: summaries, chapters, key points, to-dos, mind maps, the ability to continue asking questions about the meeting content, and direct generation of meeting minutes, reports, tables, then export to Notion, Google Docs, OneNote, or wherever you already work.
(Screenshot here: Summary and to-do panel next to transcript, arrow pointing to "To-do" section)
My take: Transcribing the transcript is just getting the raw material; whether it can directly become something you can hand off is the real dividing line.
→ This dimension: Tinrec wins—the difference isn't in transcription, but in what happens after.
Dimension 5 | When Teams Use It, Who Owns the Data?
Tinrec's team version is a separate team space, not multiple people sharing a personal account. Roles determine who can manage the team, seats determine who can record, upload, edit, and export; members who are active but have no seat can still view, play, and read team data.
There's also a set of often-overlooked capabilities: usage analytics, audit logs, audio recycle bin (currently retained for 30 days), and transferring a departing member's resources to others.
Otter.ai is quite mature in team and enterprise capabilities—no doubt about that.
PLAUD Note leans toward team membership and device management.
→ This dimension: If what you want is "Chinese meeting data stays in the team, someone manages permissions, someone checks performance," Tinrec's design fits better; Otter.ai is more mature in English enterprise scenarios. This round is a tie.
What Unique Advantages Does Each Have?
Tinrec's four advantages:
- Bot-free recording of online meetings—open the desktop version and start, no extra participant needed.
- Audio retention and recycle bin—many tools only keep text, but here even the audio is kept, and if you delete it, there's a chance to recover it.
- Real-time translation and bilingual comparison—cross-language meetings don't need to wait until after.
- Agent post-processing and team governance—generate reports, tables, documents directly from meetings, and accumulate them in the team space.
Otter.ai's advantages: maturity in English meetings and long-accumulated usage habits; clear free tier quota, easy for budget-sensitive people to judge.
PLAUD Note's advantages: portable hardware and phone call recording—usage scenarios software can't catch up with.
Conclusion: Which One Should You Choose?
• You want to validate the entire workflow (recording → transcription → summary → to-dos) at zero cost → Start with Tinrec's free version
• Your meetings are mainly in Chinese or mixed Chinese-English → Tinrec
• You often have Zoom, Meet, Teams on your computer and don't want a bot to join → Tinrec desktop version
• You need to turn transcripts into reports, tables, documents to hand off → Tinrec's post-meeting output and export
• Your team needs to use it together, with roles, seats, usage, and auditing → Tinrec team version
• 90% of your meetings are in English and you're already used to Otter's workflow → Otter.ai is enough
• You need portability, offline use, or even phone call recording → Hardware like PLAUD Note
In one sentence: For most people whose meetings are mainly in Chinese and who want to complete "recording, transcription, organization, delivery" in one go, Tinrec is a more complete choice.
If you want to start today, here's my three-step starter:
- Take the hardest recording you have on hand (preferably with accents and noise), throw it into the free version, and see if you can accept the result.
- Open the desktop version, try recording an online meeting without inviting a bot, and confirm that system audio is captured.
- After transcription, don't rush to edit the transcript from the beginning—first check if the summary and chapters are correct, then see if the to-dos are accurate. If you reverse the order, you'll spend twice the time.
Two final reminders: Free quotas and plan contents may change; refer to the official page for actual details. Recording and transcription involve personal data; remember to inform participants and obtain consent first.
Test step by step, and you'll gradually master this method.
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