Extract Audio from Meeting Recordings for Transcription
Trim the relevant segment from Zoom, Teams, or Google Meet recordings and extract it as an MP3 or WAV file. Note: transcription is not performed here — use an external transcription service with the extracted audio file.
1.2 GB → 45 MB
Audio extracted from meeting recording for AI transcription service
Why This Takes Longer Than It Should
Turning a meeting recording into minutes only requires the audio. What Zoom and Teams hand you is an MP4 that can exceed a gigabyte per hour, and most transcription services cap upload size. Extracting just the audio typically lands in the tens of megabytes, cutting both upload and processing time by an order of magnitude — and dropping the video means participants' faces and shared screens don't travel onward.
What's Actually At Risk Here
- ✓Dropping the video keeps shared-screen material and participants' faces out of the transcription service.
- ✓Extraction itself runs on in-browser FFmpeg, so the full recording never has to be uploaded anywhere.
- ✓Where consent to record covered audio only, not carrying the video forward matters in practice, not just in principle.
2 Steps to Get It Done
Click any tool name below to go directly to that tool.
- 1Video Trim
Set IN/OUT points to extract only the relevant portion of a long recording
- 2Extract Audio
Extract the audio track as MP3 or WAV to use as input for a transcription service
Where People Get Tripped Up
These catch people out even when the steps are followed correctly. Skimming them first saves a redo.
- Recordings over an hour consume a lot of memory. Splitting a long meeting in half before extracting is more reliable.
- Transcription accuracy tracks audio quality closely. Dropping the bitrate too far makes overlapping speakers unrecognizable.
- Follow your organization's policy on handling recordings. Technically possible and operationally permitted are different questions.
Frequently Asked Questions
- How long does extracting from a one-hour recording take?
- A few minutes on a typical laptop, depending on your CPU. Processing runs on in-browser FFmpeg, so there's no upload wait. For long recordings, splitting the video in half first avoids running out of memory.
- Which audio format works best for transcription?
- Both MP3 and WAV are accepted by transcription services, but WAV is uncompressed and large. Where upload size is capped, MP3 is easier to work with — just don't drop the bitrate so far that overlapping speakers become unrecognizable.
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