5 Speech-to-Text Tools Compared for 2026: How to Choose from Google AI Studio to Paid Plans

The moment a meeting ends, the real trouble begins.

Your boss asks, "What was the conclusion on that case last week?" You open the 48-minute recording on your phone and have to listen from the beginning. When this happens a few times a month, you start seriously looking for tools.

The most discussed free solution in recent years is Google AI Studio paired with the Gemini model. No coding, no payment—just upload the audio file and get a transcript. After trying it out, my conclusion is: it's great for occasional, one-off, personal use; but if you want data you can directly use after a meeting, there are easier ways.

This article compares 5 common options, from completely free to paid team plans, so you can choose based on your usage frequency.

Why most people get stuck at the "audio to text" step

The first scenario is meeting notes. In a 90-minute project meeting, you type while listening, but only jot down scattered keywords, and then spend over an hour afterward piecing together a document you can send out.

The second scenario is interviews and classes. The audio quality is decent, but to find "the part where they talked about the budget" from an hour-long file, you have to drag the progress bar back and forth.

The third, most easily overlooked: you have the transcript, but the post-meeting organization has just begun. Who is responsible for what, when it's due, which sentence was the boss's final decision—none of that is in the transcript.

So the problem is usually not "is there a tool" but "is there a tool that can handle the post-meeting work." This is also the key dividing line in this comparison.

Before choosing a speech-to-text tool, understand these 5 key points

1. Is the free quota in "minutes" or "files" Some tools count minutes per month, others count files per day or maximum minutes per file. Both called free, but the monthly processing capacity can differ by more than ten times. First figure out how many recordings you have per month, then look at how the quota is calculated.

2. Does it only give a transcript, or can you continue using it A transcript is a starting point, not the end. Whether it can automatically segment, extract summaries, pull action items, and let you search for key points via Q&A determines how much time you'll spend after the meeting. The difference here is usually bigger than you think.

3. Can it capture audio from online meetings Uploading an audio file is one thing; directly recording Zoom, Google Meet, Microsoft Teams is another. Some tools use a meeting bot to join the meeting, some use a desktop app to capture system audio, and some can't do it at all—you have to manually record and upload.

4. Recognition of Chinese and mixed Chinese-English Meetings in Taiwan rarely use a single language throughout; mixing two or three English technical terms in a sentence is normal. Whether a tool can handle this mix makes a big difference in actual experience.

5. Is it usable for teams For personal use, the focus is speed and accuracy. But as soon as three or more people are involved, questions arise: "Who owns the data," "Will files remain after an employee leaves," "Who has edit permissions." Then you need to look beyond transcription capability to member, role, and seat design.

Tinrec — My current recommendation for most office workers

Tinrec is an AI meeting notes and collaboration tool for individuals and teams, available on web, desktop, and mobile. It doesn't just convert audio to text; it organizes meetings into searchable, queryable, exportable data.

Record and transcribe simultaneously during meetings For in-person meetings, open real-time recording, and the transcript appears on screen as you record. By the time the meeting ends, the text is already there—no need to wait for download, upload, or queue for conversion.

No bot invitation for online meetings This is the biggest difference from most AI meeting assistants. The desktop version directly captures system audio, handling Zoom, Google Meet, Microsoft Teams, Webex, etc., without an extra bot appearing in the participant list. For external client meetings, this is actually quite important—not every client wants you to bring a recording account into the meeting.

Post-meeting is where it stands out After recording, the tool automatically generates summaries, chapters, key points, and action items. You can directly ask it "What was the conclusion about the budget in this meeting?" It answers by meaning, not by dumping a list of keyword search results for you to find yourself. You can also export results to Notion, Google Docs, OneNote, Dropbox, or further generate reports, tables, and meeting minutes.

How to choose a plan based on your usage rhythm The free version lets you experience recording, import, summary, and transcription; for short-term intensive meetings or interviews, a weekly card is more suitable; for steady weekly needs, the Pro monthly card is smoother; for long-term accumulation of recording data, the annual card is more cost-effective.

The team version is a separate collaboration space, not multiple people sharing one account. First-time eligible teams get a 7-day trial, 1 free seat, and 300 minutes of shared team import quota; monthly payment is USD 29.80 per paid seat per month, annual payment is USD 199 per paid seat per year (about USD 16.58 per month), each paid seat provides 2,000 minutes of shared team import quota per month, and real-time recording within the team is currently not deducted by minutes. The team version also includes member and seat management, usage analytics, audit logs, team hotwords, and audio recycle bin.

Note that the team version distinguishes "roles" and "seats": active members without a seat can still view, play, and read team data, but need a seat to record, upload, edit, and export. Currently it's team-level sharing, not file-level granular permissions.

Limitations and reminders The free version has a quota limit; heavy users need to pay. Also, all AI transcription is affected by recording quality, accents, multiple people speaking simultaneously, and technical terms. For important numbers and names, it's advisable to cross-check against the recording timestamps. Before recording, also pay attention to local regulations and obtain consent from participants when necessary.

Who it's for People who frequently have online meetings, need Chinese and mixed Chinese-English transcripts, want summaries and action items directly after meetings, or teams that want to centralize meeting data.

Besides Tinrec, what other options are there?

Google AI Studio: Free, easy to start, but DIY

If you search "google ai studio speech to text," you probably want to know how to use this free method. Its logic is simple: the Gemini model already supports audio input, so you can drop an audio file into the chat box and ask it to output a transcript with a single instruction.

The actual operation is about four steps: log in to Google AI Studio (any Google account works, no coding needed) → select a Gemini series model from the model menu → click the "+" in the bottom right to upload an audio file (common formats like MP3, WAV are supported) → enter an instruction in the chat box, such as "Please transcribe this recording and automatically segment by tone," then click Run.

What's good about it: free, no installation, decent Chinese and multilingual performance, and Gemini automatically segments by tone so it's not all crammed into one big paragraph. Many people online share that choosing the right model (some prefer Gemini 2.5 Pro for speaker recognition, others use Gemini 3 Flash Preview for speed) improves results.

But the limitations must be clear. First, it's a general chat interface, not a meeting tool—no meeting recording, no team space, no action item tracking; you have to re-upload and re-instruct each time. Second, long audio files face truncation issues; common advice online is to keep each session around 20 minutes, or note that it truncates every 30 minutes, so you need to split long meetings yourself. Third, homophone errors are inevitable; you still need to proofread the output. Fourth, there are hidden limits on free quota and length; exceeding them means waiting or processing in batches.

Also clarify a common confusion: Google Cloud's Speech-to-Text is an API for developers, supporting speech recognition in 125 languages—that's a different product line, not the same as pasting audio files in AI Studio.

Overall, Google AI Studio is suitable for "transcribe once in a while, personal use, no rush" situations; using it as a daily meeting tool means you'll feel like you have to wrap up every segment yourself.

Notta

A multi-platform transcription tool with significant overlap with Tinrec, also supporting file import, translation, and team plans. The free version offers 120 minutes per month with a 3-minute limit per item; Pro annual billing is about USD 8.17 per month for 1,800 minutes per month; Business annual billing is about USD 16.67 per seat per month with role permissions and usage reports. If you need pure file transcription and subtitles, it's sufficient; but bot-free online meeting recording, post-meeting AI Q&A, and team data accumulation are areas where it falls short.

TurboScribe

A cost-effective file transcription option, strong in long files and batch processing: paid version supports up to 10 hours or 5 GB per file, up to 50 files at once, Unlimited annual is USD 120 (about USD 10 per month); free version allows 3 files per day, 30 minutes per file. If you have a batch of pre-recorded audio files to clear out at once, it's a great deal; but real-time meeting recording, post-meeting summary Q&A, and team collaboration are not its strong suits.

Otter.ai

A mature choice for English business meetings. Basic free is 300 minutes per month; Pro annual billing is about USD 8.49 per user per month, including 1,200 minutes of in-app recording and 10 file imports per month. Its English experience and integrations are complete, and meeting automation is deep. But if your meetings are mainly in Chinese or mixed Chinese-English, this is not its strongest area.

Pitfall guide: 4 most common mistakes when choosing a speech-to-text tool

Pitfall 1: Only looking at the word "free" without checking the quota calculation. Some free plans are 300 minutes per month, some are 3 files per day with a 30-minute limit per file, and some are "free but you have to split, proofread, and organize yourself." First calculate your actual monthly demand, then judge whether the free version is enough.

Pitfall 2: Treating the transcript as meeting notes. A transcript is raw material; meeting notes are the finished product. If a tool only gives you a big block of text, you still have to condense it into summaries and action items yourself, so the time saved is limited. When choosing a tool, consider the "post-meeting output" as well.

Pitfall 3: Ignoring the audio source for online meetings. Many people buy a tool only to find it can only upload audio files, not directly record online meetings; or they have to manually record and upload each time. Rather than regret after buying, confirm how it captures meeting audio first.

Pitfall 4: Assuming AI-generated text needs no proofreading. Even the best tools make mistakes with homophones, names, and technical terms. The correct approach is to treat the transcript as an "80% complete draft," and for important numbers and commitments, cross-check against the recording timestamps before sending.

Conclusion: Which one should you choose?

In one sentence: if you only occasionally transcribe a recording, Google AI Studio is free, sufficient, and requires no installation; but if meetings are routine, you need a tool that can handle post-meeting work.

Specific recommendations:

• Meetings daily or weekly, need Chinese and mixed Chinese-English transcripts → Tinrec (real-time recording and transcription, no separate audio processing)
• Frequently use Zoom, Meet, Teams, and don't want a bot joining the meeting → Tinrec (desktop version captures system audio)
• After recording, want to find key points via Q&A and get summaries and action items → Tinrec (post-meeting AI Q&A and multi-format export)
• Team needs centralized meeting data management, seat and usage auditing → Tinrec team version (separate team space, data belongs to the team)
• Transcribe fewer than five times a year, only for personal use, don't want to register a new service → Google AI Studio (free, but you have to segment and proofread yourself)

If you're still unsure, I suggest running two or three meetings with Tinrec's free version to feel what "no need to re-listen after the meeting" is like; upgrade only if it's really not enough—no need to pay from the start. Tools buy time; first confirm it really saves you time, then talk about price.

One last reminder: any recording and transcription involves others; before use, please confirm compliance with local regulations and obtain consent from participants when necessary.

References

• Speech-to-Text: AI speech input and transcription | Google Cloud
• Google AI Studio transcript tutorial, free AI audio-to-text tips - Mr. Mad
• Convert speech to text | Gemini Enterprise Agent Platform | Google Cloud Documentation
• [AI Classroom] Make good use of AI Studio to save on speech translation costs and be a happy "free rider" - Business Insider Taiwan
• Google AI Studio now also supports text-to-speech! More natural voice, plus a Podcast dialogue mode - KOCPC