Use Case

Interview Transcription for Journalists and Researchers

Transcribe interviews accurately with speaker labels. Focus on asking great questions - AuTrans handles the note-taking. Built for African language interviews.

Journalists and researchers know the pain: you conduct a brilliant 45-minute interview, then spend 3 hours transcribing it manually. AuTrans cuts that to minutes. Upload your interview recording and get a clean transcript with speaker labels separating your questions from the interviewee's answers. The AI chat lets you query the transcript - "What did the minister say about the budget?" - and get the exact quote with timestamp. For investigative journalists working across Nigeria, AuTrans handles interviews in Nigerian English, Pidgin, Hausa, and Yoruba. Your sources speak however they're comfortable; AuTrans keeps up.

Benefits

  • Speaker labels separate interviewer from interviewee
  • AI chat lets you query for specific quotes and topics
  • Search across all your interview transcripts
  • Timestamps make it easy to verify quotes against audio
  • Export to DOCX for article drafting
  • Handles interviews in Nigerian English, Pidgin, Hausa, and Yoruba

How it works

  1. 1Record your interview using any device
  2. 2Upload to AuTrans - processing takes minutes
  3. 3Review transcript with speaker labels and timestamps
  4. 4Use AI chat to find specific quotes and topics
  5. 5Export to your preferred format for writing

Frequently asked questions

How does speaker labeling work?

AuTrans uses speaker diarization to detect distinct voices and label them (Speaker 1, Speaker 2, etc.). You can rename them to actual names after transcription.

Can I use transcripts as source material for articles?

Absolutely. Transcripts include timestamps so you can always verify a quote against the original audio. Export to DOCX and paste directly into your article draft.

What about phone interviews or noisy environments?

AuTrans works best with clear audio but handles moderate background noise. Phone call recordings (both sides audible) work well for speaker separation.

Related

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