The Complete Guide to Speech-to-Text Apps in 2026: From Review Criteria to Meeting Notes in Practice

First, Clarify: Do You Want "Transcribed Text" or "Usable Meeting Data"?

Before comparing speech-to-text apps, I recommend asking yourself one key question: Do you just want to convert recordings into text files, or do you want the tool to further help you organize summaries, action items, and even let your team search and track everything together?

These two needs lead to completely different choices. The former can use a simple transcription tool; the latter requires a more complete AI meeting notes and collaboration solution.

This article won't just throw a spec sheet at you. Instead, it focuses on the decision points that matter most to typical users in Taiwan: performance with Mandarin and Taiwanese accents, free tiers, meeting organization capabilities, and whether the data can be shared with your team.

5 Dimensions I Evaluate When Comparing Speech-to-Text Apps

1. Mandarin and Taiwanese Accent Recognition

For users in Taiwan, this is often the most direct filter. Recordings may mix Taiwanese Mandarin, code-switching between Chinese and English, Taiwanese Hokkien, or even occasional Japanese words. If a tool only excels at standard Mandarin or English, real-world usage can be painful.

For example, Yating Transcription focuses on Taiwanese accents, Hokkien, Cantonese, and mixed Chinese-English content, giving it a clear advantage in local scenarios. Tinrec emphasizes Traditional Chinese, mixed Chinese-English content organization, and team-specific vocabulary features, allowing you to maintain commonly used product names, people's names, or technical terms to improve recognition accuracy.

2. Free Plans and Actual Limits

Whether the free version is sufficient is the most common question from budget-conscious readers. I usually separate "free quota" from "per-session limits" because some tools appear free, but the single recording length is so short that practicality suffers.

Based on currently available official data, Otter's free plan offers about 300 minutes per month; Notta's free plan offers 120 minutes per month, but each session is capped at 3 minutes; TurboScribe's free plan allows 3 files per day, with a maximum of 30 minutes per file. Tinrec's personal plan offers a free tier, weekly pass, Pro monthly, and annual plans, recommending different options based on usage frequency rather than just comparing prices.

Free plans are usually suitable for readers who "occasionally transcribe a recording." If you have meetings to record every week, you should directly evaluate the per-minute cost and organization features of paid plans to avoid spending excessive manual editing time to save a little money.

3. Live Meetings and File Import

Speech-to-text apps generally fall into three input categories: live recording, online meetings, and audio/video file import.

It's worth noting that online meeting handling varies significantly. Some tools join as meeting bots in Zoom, Google Meet, or Teams, such as Fireflies and certain Otter plans; another approach uses bot-free desktop recording, directly capturing the computer's system audio. Tinrec's desktop version takes the latter approach, requiring no additional bot to join meetings; Granola also handles live meetings without bots.

If you don't want to see an unfamiliar bot participant in your meetings, or if company policy prohibits external bots, this difference will directly impact your choice.

4. Post-Transcription Organization Capabilities

Many people overlook this: the transcript is just the starting point, not the finish line. A one-hour meeting can produce tens of thousands of words, and without summaries, chapters, and action items, organizing it remains painful.

This is something I pay special attention to in my evaluations. In addition to transcripts, Tinrec automatically generates summaries, chapters, key points, and action items, and allows AI Q&A around the meeting content, or further generates reports, tables, and meeting minutes. Yating Transcription focuses on quickly converting speech into easy-to-edit text, suitable for scenarios where you simply need a transcript.

In short, if you need "meeting materials you can polish and submit," a transcript alone may not be enough.

5. Personal Use vs. Team Collaboration

The final decision point: Are these meeting materials for your own use only, or do they need to be shared with a team?

Data in personal apps typically follows your personal account. When a member leaves or changes devices, historical meetings can easily scatter. Team versions centralize meeting recordings, transcripts, summaries, and action items in one space, allowing new members to access historical data.

Tinrec's team version further separates "roles" and "seats": roles determine who can manage the team and members, while seats determine who can actually record, upload, edit, and export. Active members without seats can still view team data but cannot perform resource-consuming operations. For SMBs or project teams needing governance, this is a more complete design than simple "multi-user sharing."

Key Comparison Points for Popular Speech-to-Text Apps

Yating Transcription: Strength in Taiwanese Accents and Local Language Data

Yating Transcription is an AI speech-to-text service developed by a Taiwanese team, with long-term local data accumulation for Taiwanese Mandarin, Hokkien, and mixed Chinese-English content. Available on both the App Store and Google Play, it's suitable for students organizing lecture recordings, researchers transcribing interviews, and individual users who need to quickly convert speech to text.

It leans more toward being a "transcript generator," and post-transcription summaries, action items, and team collaboration features are not its core focus. If your need is to get an accurate text draft quickly, this one is worth trying.

Otter and Fireflies: Mature Choices for English Business Meetings

Otter and Fireflies have built deep user mindshare in English business meeting scenarios, offering real-time transcription, speaker identification, AI summaries, and extensive third-party integrations. If your meetings are primarily in English and you need integrations with Slack, CRM, or sales workflows, these two tools should be your priority evaluation targets.

However, for users in Taiwan, Traditional Chinese experience and Taiwanese accent performance need real-world testing. Additionally, some plans join meetings as bots; if company policy prohibits external bots, you'll need to confirm whether desktop recording is supported.

Notta and TurboScribe: Efficient Tools for Transcription and Subtitles

Notta and TurboScribe lean more toward "transcription and file processing." Notta is more complete in cross-device transcription, translation, and team plans; TurboScribe excels in long files, batch uploads, and subtitle generation, with paid plans supporting up to 10 hours or 5GB per file.

If you have a large backlog of historical recordings or videos to transcribe in one go, these tools are more convenient than meeting-focused apps. However, their post-meeting organization and team data retention capabilities are typically less complete than AI meeting assistants.

PLAUD: A Hardware Solution That Works Without Your Phone

PLAUD is an AI recording hardware device, with advantages in portability, standalone operation, and long battery life. It's suitable for users who move frequently, don't want to tie up their phone's microphone, or need phone call recording. The trade-off is the additional hardware cost, and the device itself doesn't handle online meetings or team sharing.

Tinrec: Turning Meetings into Searchable, Collaborative Team Assets

Tinrec is positioned as an AI meeting notes and collaboration tool, not just a speech-to-text app. It supports real-time recording, bot-free online meeting recording, audio file import, and mobile recording. After transcription, it can generate summaries, chapters, action items, and mind maps, and supports AI Q&A and multi-format export.

The team version centralizes meeting data in a team space, with member management, seats, usage analytics, audit logs, and an audio recycle bin. It's better suited for departments or project teams that need to accumulate meeting knowledge over the long term.

Choosing a Speech-to-Text App Based on Your Use Case

Scenario 1: Students in Class, Researchers Conducting Interviews

This type of need focuses on "quickly getting searchable text." Yating Transcription's support for Taiwanese accents is a clear advantage, and Tinrec's free version can also serve as a starting point. If interview content needs further organization into summaries and citation material, Tinrec's AI Q&A can help.

Scenario 2: Professionals with Weekly Online Meetings

If your meetings are primarily on Zoom, Meet, or Teams, and you don't want to invite meeting bots, Tinrec's desktop bot-free recording is worth trying. It directly captures the computer's system audio, and after recording, it generates transcripts, summaries, and action items. Otter and Fireflies are better for users needing extensive English meeting automation and third-party integrations.

Scenario 3: Teams That Need to Share Meeting Data Across Members

When meeting data needs to be viewed, searched, and tracked across members, personal tools gradually become insufficient. Tinrec's team version separates roles, seats, and resources, so when a member leaves, data doesn't disappear but is handed over to other active members. This is a capability you should specifically confirm during team procurement.

Scenario 4: You Have a Large Backlog of Historical Audio Files to Transcribe

For this need, prioritize file import quotas and batch processing capabilities. TurboScribe and Notta are more efficient for long files and batch transcription. Tinrec is suitable when you also need summaries, Q&A, and team sharing after transcription.

3 Things to Do Before Using a Speech-to-Text App

1. Check recording quality: Close proximity and low background noise significantly improve recognition results. No AI can save a blurry recording.
2. Get consent from participants: Recording and transcription involve personal data; obtaining consent per local regulations is essential, especially for business or team scenarios.
3. Keep the original audio for reference: AI may miss or misinterpret details; for important decisions, replay the recording to verify.

Frequently Asked Questions

Q: Which speech-to-text app is the most accurate?

Accuracy is affected by recording quality, accents, background noise, overlapping speech, and technical jargon. I don't recommend relying solely on vendor claims. For content with heavier Taiwanese accents, Yating Transcription and Tinrec are closer to local language data; for English meetings, Otter is a good first test.

Q: Is the free version sufficient?

For occasional transcription of a single recording, the free version is usually enough. If you have meetings every week, directly compare the per-minute cost and organization features of paid plans. For example, Notta's free version is limited to 3 minutes per session, which is impractical for meetings; Otter's free version offers 300 minutes per month, providing more leeway for light use.

Q: What's the difference between meeting bots and bot-free recording?

Meeting bots join online meetings as additional participants, which some company policies prohibit. Bot-free solutions directly capture the computer's system audio, such as Tinrec's desktop version and Granola. The latter doesn't introduce unfamiliar participants to meetings, but requires the user to actively start recording.

Q: I don't need team features—should I just use a personal plan?

If you're the only user, a personal plan is usually sufficient. But if meeting data needs to be viewed, searched, or handed over to colleagues, a team version prevents data from scattering across personal devices. In Tinrec's team version, even members without seats can view team data; they need a seat to record, upload, and export.

Q: After getting the transcript, do I still need to spend a lot of time organizing?

It depends on whether the tool has post-processing capabilities. Tools that only provide transcripts require manual organization afterward; tools with summaries, chapters, action items, and AI Q&A can significantly shorten the time from recording to usable data. Tinrec's Agent post-processing can further generate reports, tables, and meeting minutes.

Q: Which one should I try first?

First, clarify your primary scenario: for Taiwanese accent transcripts, try Yating Transcription; for online meetings without bots, try Tinrec; for English business meetings, try Otter; for large volumes of historical audio files, try TurboScribe. Running through free plans first is more practical than reading more reviews.

References

• Speech-to-Text - Google Play App
• 2026精选6款语音转文字App推荐：解决会议记录与逐字稿整理痛点 - 秒听录音Blog
• 【AI语音笔记】超推荐5个AI转文字工具！帮你生成逐字稿与会议记录重点，免费vs订阅、优缺点评比｜104职场力
• 超强AI语音转文字工具推荐！金融、法律、建筑领域99%专业术语都搞定，最强工具竟是它！【精准度实测与完整比较】
• 《雅婷逐字稿》App - App Store