4 AI Recording Tools Compared in 2026: What Files Does PLAUD Record, and How to Choose Formats

After the Meeting, the Real Bottleneck Is the 'File'

The online meeting just ended, and your manager asks in the group chat: 'Who said that conclusion just now?' You open the folder and find a device recording, a transcript exported from who-knows-where, and a .wav file. The player can open them, but when you try to drop them into editing software or send them to a colleague, you realize the format doesn't fit.

Another common scenario is cross-device: you record on your phone but need to organize on your computer; a colleague uses a different brand of voice recorder and sends you a file with only audio, no text. Most people think the problem is 'whether it was recorded,' but what actually slows things down is often 'what file it becomes after recording and whether the next person can use it directly.'

This is why 'what files does PLAUD record' has become a frequent question. On the surface it asks about formats, but behind it are three things: what do I get after recording, what can I take away, and can I continue to process it.

What Files Does PLAUD Record? First Distinguish 'Device,' 'App,' and 'After Export'

PLAUD Note and NotePin are AI recording hardware, and their recording workflow differs from mobile apps, so 'files' appear in three different places.

First layer: Device. According to PLAUD's official documentation, after recording on PLAUD Note, audio is automatically stored locally on the device. Once connected to the Plaud app, recordings are automatically transferred to your account via Bluetooth, then transcribed and processed by AI; for large recordings, you can use fast transfer via Wi-Fi to speed up upload. Note that after recordings are transferred to the app, they are deleted from the device, so to find files later you must go back to the app.

Second layer: App. The recordings, transcripts, AI summaries, and mind maps you see in the app or Plaud Web are content within your account, not yet 'files you can take away.'

Third layer: After export, they become real files. According to PLAUD's official export documentation (applicable to v3.30.x or earlier), different content corresponds to different formats:

• Audio: Plaud Web exports in MP3 format; WAV export is only available in the Plaud App.
• Transcript: TXT is plain text without timestamps; SRT is a subtitle format with timestamps, suitable for adding subtitles to videos or importing into subtitle tools. When selecting 'Transcript' as the export type, you can toggle timestamps and speaker labels before downloading.
• Summary and mind map: Mind maps can be exported as PNG images or Markdown text outlines, but neither format can be reopened as an editable mind map; they are for sharing or reference only.
• Export quantity and file size: Official pages have inconsistent descriptions of 'single or batch export' across versions; refer to the documentation for your current App or Web version. There is currently no explicit file size limit, but very long recordings will produce large files; if you encounter issues, export in shorter segments.

So the answer is not a single format but depends on what you want to export: for audio, it's MP3 (App also offers WAV); for text, it's TXT or SRT; for structure diagrams, it's PNG or Markdown.

Before Choosing Such Tools, Understand These 4 Key Points

1. File formats and export methods. Don't just ask 'how many formats are supported'; ask 'does the tool I want to use accept this file?' For editing software, audio format is key; for Word or Google Docs, transcript format is key; for subtitles, you need a format like SRT with timestamps.

2. Can you continue using it after recording? Having only a transcript means you still have to manually find key points cell by cell. Whether it can automatically generate summaries, chapters, and action items, and whether you can ask questions about the content, determines whether you spend ten minutes or half an hour after the meeting.

3. How are online meetings recorded? One way is to send a meeting bot to join the meeting; the other is to use desktop software to directly capture computer system audio. The former requires a bot to enter as a participant; the latter requires no extra participant but requires you to actively start recording. The file acquisition and subsequent organization processes differ greatly between the two.

4. Who owns team data, and what happens when members leave? Recordings from personal tools are stored in personal accounts, and data scatters when people leave. If meeting records are to become team assets, you need to check for team spaces, role and seat distinctions, usage and activity logs.

(Disclosure: The Tinrec section in this article is based on official product documentation and internal configuration; we primarily recommend Tinrec. Features and prices for PLAUD, Notta, and Otter.ai are subject to their official pages; data was verified in August 2026. This article is a data compilation for file format and feature comparison, not independent testing, so we do not provide self-made accuracy or speed data.)

Tinrec — Files You Can Take Away and Continue Working With

Tinrec is an AI meeting notes and collaboration tool for individuals and teams. It doesn't just convert voice to text; it organizes meeting recordings into searchable, summarizable, queryable, exportable, and further processable data, and沉淀s them into collaborative meeting assets within team spaces.

During the meeting: The desktop version directly captures computer system audio, handling Zoom, Google Meet, Microsoft Teams, and Webex meetings played on the computer, without inviting an extra bot to join the meeting or adding another participant just for recording. For offline meetings and interviews, you can use real-time recording, transcribing as you record, so the transcript is ready when the meeting ends.

After the meeting: The system generates summaries, chapters, and key points, and extracts action items from discussions—who is responsible for what and what to follow up on—so you don't have to re-listen to an hour of audio. For cross-language needs, you can view the original, translation, or bilingual content.

The most critical step after recording: You can ask questions directly about the meeting content, such as 'Who mentioned the budget in the last meeting?' or 'What were the client's concerns about the quote?' It answers based on semantic understanding, not just keyword search results. This is the biggest difference from pure transcription tools—the file is not the endpoint but a starting point for further inquiry.

How to take files away: Supports exporting transcripts, summaries, and meeting results to common file formats, and can be brought into tools like Notion, Google Docs, OneNote, and Dropbox for continued use; it can also generate reports, tables, and documents based on meeting content, directly serving as post-meeting deliverables.

Team scenarios: The team edition is an independent team collaboration space, not a shared personal account. Meeting data belongs to the team; you can create multiple team spaces, invite members via links, and distinguish roles and seats: roles determine who can manage the team, members, and audits; seats determine whether members can record, upload, edit, and export. Members who are active but have no seat can still view, play, and read team data. There are also team usage trends, member rankings, team hot words, audit logs, and an audio recycle bin. When a member leaves or loses a seat, their team resources must be handed over to other active members, so data does not disappear when people leave.

Limitations and notes: First, capabilities such as team edition seats, audits, and recycle bin are still subject to the official purchase page and subsequent announcements before formal external promotion. Second, it is not a tool focused on batch transcription of large volumes of long files; if you have dozens of hours of historical audio to process at once, this is not its strength. Third, transcription and summary quality can be affected by recording quality, ambient noise, accents, overlapping speakers, and technical terminology; for important content, we recommend cross-checking with transcript timestamps and audio playback.

Who it's for: Professionals who frequently hold online meetings and need transcripts and minutes quickly after meetings; people who want to use AI to find key points directly after recording instead of manually scanning transcripts; and teams that need to沉淀 meeting records into shared team assets and manage members and usage.

Besides Tinrec, What Other Options Are There?

PLAUD Note / NotePin: A representative of AI recording hardware, selling standalone devices, portable recording, phone call recording, and long battery life. Device recordings must first be transferred to the app for transcription and summary templates; after export, audio is MP3 (Web) or WAV (App), and text is TXT or SRT. Official pages show NotePin at USD 159, Note Pro at USD 189, Starter at 300 minutes per month, Pro at USD 99.99/year (1,200 minutes per month), subject to official pages. If you want a 'pick up and record' hardware experience, it's very suitable; but if you want to record online meetings directly on the desktop and manage meeting data with team roles and seats, Tinrec's approach does not require purchasing an additional device—this is not what PLAUD focuses on.

Notta: A multi-platform transcription and meeting notes tool, supporting file import, translation, and team plans. Official free version offers 120 minutes per month, up to 3 minutes per session; Pro annual billing is about USD 8.17/month with 1,800 minutes per month; Business annual billing is about USD 16.67/seat/month. It overlaps heavily with Tinrec; the difference is that Tinrec emphasizes desktop bot-free recording of online meetings, as well as post-meeting AI inquiry, action items, and team data沉淀.

Otter.ai: A mature choice for English business meetings, covering meeting assistant, real-time transcription, speaker identification, and AI Chat; the free version offers a generous 300 minutes per month. If you mainly record English meetings and your team already uses its workflow, it will be smoother than Tinrec. However, the experience for Chinese and mixed Chinese-English meetings, as well as the combination of bot-free desktop recording and team seat governance, are problems Tinrec aims to solve.

Pitfall Guide: The 4 Most Common Mistakes When Choosing Recording Tools

Pitfall 1: Assuming recordings only come in one file type. First clarify whether you want to take away audio or text. For editing software, confirm the audio format; for colleagues to read, confirm the transcript format; for subtitles, confirm whether there is a format with timestamps. If the direction is wrong, exporting ten times won't fit.

Pitfall 2: Only looking at free minutes, not export and post-processing. A large free quota is attractive, but if exports are limited or only plain text without structure is available after export, the minutes you save become your own overtime hours.

Pitfall 3: Ignoring how online meetings are recorded. The bot-join approach often gets stuck with external client meetings or when the host restricts participants. The desktop system audio capture approach requires no extra participant, but you must remember to actively start recording.

Pitfall 4: Putting team data in personal accounts. Recordings in personal accounts become unfindable once a member leaves. When choosing a tool, first ask: who owns the data, how is it handed over when members leave, and is there a distinction between roles and seats.

Conclusion: Which File Workflow Does Your Meeting Need?

1. Want to know what files PLAUD records and already have a PLAUD device → Go back to the App or Plaud Web to export: audio MP3 (App also offers WAV), transcript TXT or SRT, mind map PNG or Markdown; confirm the format you want before exporting.
2. Want to record Zoom, Meet, Teams meetings directly on the computer and need summaries, action items, and inquiries after the meeting → Tinrec; the desktop version requires no extra bot to join the meeting.
3. After recording, want to use AI to directly ask 'What was the conclusion of this meeting?' → Tinrec; this is its most obvious difference from pure transcription tools.
4. Meeting data needs to become team assets, and you need to manage members and usage → Tinrec team edition; roles, seats, usage, audits, and recycle bin are all in the same team space.
5. Mainly record English meetings and your team already uses the Otter ecosystem → Otter.ai; this is one of the few scenarios in this article where we recommend prioritizing another tool.

Practical advice: First take a real meeting audio file and run through the complete workflow with the free quota—from recording or importing, generating a transcript, viewing summaries and action items, to exporting into the format you need for work. After one run-through, you'll know whether your bottleneck is format, organization, or team collaboration, rather than just comparing who has more free minutes.

References

• Export recordings, transcripts, and summaries – Plaud
• Transfer files – Plaud
• Plaud Tutorial: From Note Pro recording, template selection to Ask Plaud follow-up, how to make meeting notes easier | TheAI Academy
• Audio import – Plaud
• Export recordings, transcripts, and summaries – Plaud