5 AI Transcription Tools Tested for 2026: How to Choose the Free Options Trending on Dcard

A roundup of the most discussed AI transcription tools on Dcard, starting from the decision point of 'who will read this transcript?' It explains the use cases, free limitations, and practical tips for NotebookLM, Buzz, Google AI Studio, Groq Cloud, iPhone Shortcuts, and Yating Transcription, helping you choose the right method before you start.

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November 2, 2026
42 min
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First, ask yourself one question: Who is this transcript for?

On Dcard, someone asked, "Which AI transcription tool should I choose?" and the comments were filled with names: NotebookLM, Buzz, Google AI Studio, Groq, Yating.

After reading those posts, I realized the real problem isn't that there are too few tools.

It's that people start with the wrong question.

Most people ask, "Which tool is the most powerful?" But what you really should ask is: Is this transcript for your own understanding, or is it for someone else?

The choice is completely different for these two cases.

For your own use, the focus is speed, free access, and the ability to look back. For handing off to others (thesis appendices, official meeting minutes, subtitle files), the focus shifts to reliability and editability.

There's another often-overlooked need: you need to know "who said what."

And that's exactly where most free tools are weakest.

A teacher on Dcard shared about NotebookLM and put it bluntly: the pros are free and fast record generation; the con is that it "cannot label different speakers."

That one sentence sums up the tool categories.

So below, I won't talk specs; I'll talk about when you should use each tool.

Option 1 | Google NotebookLM — Turn recordings into notes you can query

One-line positioning: Not a transcription tool, but a note-taking app that turns recordings into a database.

This is the most frequently mentioned tool in Dcard tutorials. Its value isn't in transcription accuracy, but in the ability to ask questions about the content and generate summaries after transcription.

My most common use: throw in a recording of a lecture or meeting, have it produce a timestamped transcript, then ask it to summarize key points.

It's like doing both "recording" and "understanding" in one go.

Its limitations should also be considered: It cannot distinguish between speakers; transcript reliability is not as good as professional paid software. The sharer's advice is spot-on—perfect for class notes, but you'll need to double-check for formal documents.

Free, suitable for: Students, teachers, and anyone who needs to turn class or meeting content into notes.

Option 2 | Buzz — Transcribe large files slowly on your computer

One-line positioning: Free offline software designed for "online tools can't handle large files."

This is the focus of another Dcard share. The author tried several online services and hit the same wall: file size limits.

Buzz's solution is straightforward—run it on your own computer, and you're not bound by upload limits.

Two things to note: The interface is basic, and transcription takes longer. It's not for rushing; it's for "just get it done today."

After transcription, you can use ChatGPT for summarization—a combo the sharer often uses.

Free, suitable for: People with long recordings who don't want to pay.

Option 3 | Google AI Studio — Fast online transcription, but check the limits first

One-line positioning: A free option you can use right in your browser, provided your file isn't too large.

The Dcard share discussed it alongside Groq Cloud; both are "online, free, but with file size limits."

I treat these tools as "temporary solutions."

When you suddenly need a transcript and don't have software installed, it's the fastest.

But if you transcribe daily, you'll eventually hit the file size limit.

Free, suitable for: Office workers who transcribe occasionally and have short files.

Option 4 | Groq Cloud — A speed-oriented cloud option

One-line positioning: Another free online route, suitable for real-time processing of short files.

The difference from AI Studio isn't as big as you'd think; both involve "open webpage, upload, wait for results."

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My advice is simple: keep both, and switch if one gets stuck.

That's the beauty of free tools—you don't need loyalty.

Free, suitable for: People who need a quick draft.

Option 5 | iPhone Built-in Shortcuts + Voice Memos — Fastest for solo use

One-line positioning: No installation needed, but it has clear physical limitations.

This is the most underrated and overrated option.

The teacher's test conclusion on Dcard is worth quoting: using iPhone Shortcuts for transcription, when the speaker is far away, the output speed is not ideal, and the applicable range is limited.

So its positioning is clear: one-on-one interviews, close-range recording, personal voice notes.

For multi-person, remote, echo-prone meeting rooms, don't force it.

Free, suitable for: Quick notes, personal memos.

Option 6 | Yating Transcription — An evaluation option when you need higher quality

One-line positioning: The kind of service you start looking at when "free is enough" is no longer enough.

A 104 Job Bank article pointed out a very real phenomenon: free quotas quickly run out for people who have daily meetings and classes.

Yating Transcription's website slogan is "You talk, we type," following the route of voice memo organization.

I list it here not to push you to pay immediately, but to let you know: when you start caring about accuracy and delivery quality, the boundaries of free options become apparent.

Evaluating then is more reasonable than buying upfront.

With so many options, how should you choose?

I've organized common scenarios into a decision line:

• Need to query content and generate summaries → NotebookLM (free, most complete note-taking workflow)

• Long recordings, can't upload online → Buzz (run on your computer)

• Occasional transcription, in a hurry → Google AI Studio or Groq Cloud

• One-on-one interviews, personal dictation → iPhone Shortcuts is enough

• Handing off to others, no room for error → Evaluate paid services directly; don't redo work on free tools

• Need to label who said what → Most free options can't do this yet; be prepared

The essence of choosing a tool is first confirming your "delivery standard."

Low standard: all free tools suffice. High standard: don't make it hard on yourself.

Before using AI transcription, think through these 4 things

1. Free doesn't mean unlimited.

Online services almost always have file size or usage limits. This isn't a flaw; it's something you need to know in advance. For large files, offline software is actually more convenient.

2. A transcript is not meeting minutes.

What you get is a block of text, not conclusions. You need to give further instructions. Here's my most-used prompt you can copy directly:

"Below is the transcript I just generated. Please help me: 1. List the 3 main conclusions of this meeting; 2. List action items and the responsible persons; 3. Highlight passages in the transcript that are unclear and need my confirmation."

3. Microphone placement determines half the result.

With the same tool, placing the phone on the table versus near the speaker makes a big difference. This isn't an AI problem; it's physics.

4. Always leave time for manual proofreading.

Names, technical terms, and numbers are where AI makes the most mistakes. Treat it as a "draft generator" and you'll be happy; treat it as "final copy" and you'll suffer.

Conclusion

In 2026, the barrier to AI transcription is already very low.

Free options are enough for most daily needs. The real difference is whether you've thought through "where this transcript is going."

Decide on the delivery standard first, then pick the tool—you'll avoid many detours.

Quick start: 6 steps

  1. First confirm whether this recording is for "your own eyes" or "for delivery"
  2. Use online tools for short files, offline software for long files
  3. After transcription, scan for names and numbers yourself
  4. Use the prompt template above to generate summaries and action items
  5. When you need to distinguish speakers, go back and add manual labels
  6. Write down your common workflow and follow it next time

Tools will keep changing; methods won't.

Start with that recording you've been putting off, transcribe it once, and you'll know where your standard lies.

References

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