Use Case

AI Meeting Transcription for Nigerian Teams

Turn your meeting recordings into searchable transcripts with speaker labels, action items, and summaries. Built for Nigerian English, Pidgin, and multilingual conversations.

Stop losing important decisions in forgotten meetings. AuTrans turns any meeting recording into a structured, searchable transcript - complete with speaker labels so you know who said what, AI-generated summaries so you can skip the fluff, and action items extracted automatically so nothing falls through the cracks. Whether your team switches between English and Pidgin or has participants dialing in from Lagos, Abuja, and Accra, AuTrans understands the way Nigerians actually speak in professional settings. No more "can you repeat what was decided last Tuesday?" - just search your transcripts and find it in seconds.

Benefits

  • Speaker labels identify who said what across the entire meeting
  • AI summaries condense hour-long meetings into key points
  • Action items and decisions extracted automatically
  • Search across all your meeting transcripts instantly
  • Works with Zoom, Google Meet, Teams recordings, and voice memos
  • Handles Nigerian English, Pidgin, and code-switching naturally

How it works

  1. 1Record your meeting using any tool - Zoom, Google Meet, Teams, or a voice recorder
  2. 2Upload the audio file to AuTrans (MP3, M4A, WAV, WebM supported)
  3. 3Get your transcript in minutes with speaker labels and timestamps
  4. 4Review AI-generated summaries, action items, and topic breakdowns
  5. 5Export to DOCX, PDF, or share a link with your team

Frequently asked questions

How long does it take to transcribe a 1-hour meeting?

A typical 1-hour meeting is transcribed in 3-5 minutes. You'll see real-time progress as it processes.

Can AuTrans handle meetings with multiple speakers?

Yes. AuTrans uses speaker diarization to identify and label different speakers throughout the recording.

What if participants switch between English and Pidgin?

AuTrans handles code-switching naturally. It recognizes when speakers switch between Nigerian English, Pidgin, and other supported languages.

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