How to Clean Up Plaud Note and AI Voice Recorder Audio (and Fix Speaker Labels)

Pocket and wearable recorders like the Plaud Note and Plaud NotePin are built for convenience: you flip the switch in a meeting, lecture, or coffee shop without setting up microphones. In phone-call mode, the Plaud Note uses a vibration conduction sensor against the back of your phone; in room mode, both devices rely on tiny omnidirectional microphones.

Because a flat recorder on a conference table or a pin on a shirt collar sits far from everyone else in the room, it hears air conditioning, laptop fans, silverware, paper rustling, and wall reflections at almost the same level as the people across the table. When background noise or room echo masks the transitions between voices, automatic diarization merges two people into one speaker or misses quiet interjections altogether.

In the Plaud app, tap Share or Export Audio to save the raw MP3 or M4A file to your phone or computer. Before re-transcribing, run the audio through the Audo AI clean-up tool that matches your room:

• Use Remove noise (/noise-removal) when multiple people are speaking. Remove noise is non-generative: it filters out HVAC hum, street noise, café clatter, and background music while keeping every person's exact vocal timbre as recorded. Preserving each speaker's natural voice character makes speaker separation much more accurate in the next step.
• Use Audio enhancer (/audio-enhancer) or Remove echo (/remove-echo) for hollow rooms. If you recorded a single lecturer in a large hall or a muffled voice across a bare conference room, Audio enhancer and Remove echo strip the room bounce and rebuild close, clear speech, with a Strength slider to blend back some of the natural room.
• Use Balance audio (/audio-leveler) when one person is much louder. When a NotePin is clipped to your shirt, your own voice is often 12 to 15 dB louder than the person sitting across from you. Balance audio finds each speaker turn and levels everyone to −16 LUFS without boosting silent pauses.

Once the background noise is gone, click Open in editor on your result or drop the cleaned file into Audo AI's Interview transcription (/interview-transcription):

• Up to 8 speakers across 60 languages. Audo separates voices into Speaker 1, Speaker 2, and so on in the order each person first speaks, and supports recordings up to 10 hours and 10 GB—long enough for an all-day workshop or seminar.
• Word-synced quote checking. Click any word in the browser player to jump the audio to that exact moment and verify names, numbers, or technical terms in seconds.
• TXT, SRT, VTT, and JSON included. Download speaker-labeled plain text (.txt) to paste into Notion, Google Docs, ChatGPT, or Claude for meeting notes, or grab timed SRT and VTT captions.

You don't need an external clean-up step for every recording:

• Keep using the Plaud app directly. If you recorded in a quiet room close to the speakers and only need a quick summary or mind map inside the Plaud mobile app, the built-in workflow is already on your phone.
• Use Audo AI. When you want a clean MP3 or WAV that people can actually listen to, when background noise or echo caused wrong speaker labels, or when you want to pay by the minute ($1.80 an hour for clean-up, $1.20 an hour for transcription) without buying an annual transcription bundle.