Podcast Transcription: Accuracy and Options

ASR accuracy rates, human transcription, and the options for converting audio to text.

The landscape

When it comes to the transcription options honestly compared, the details matter. Here's what the evidence and practitioner experience point to:

• ASR (automatic) accuracy: 85–95% for clean audio — good enough for SEO/notes, not publication-ready verbatim.
• Human transcription (99%+): $1–2/minute — worth it for legal, medical or publication-critical content.

What actually works

When it comes to the transcription options honestly compared, the details matter. Here's what the evidence and practitioner experience point to:

• The speaker-diarisation problem: ASR struggles with overlapping speakers and name attribution — multi-speaker transcripts need review.
• Script-first pipelines (PodKrafter) produce 100% accurate transcripts by definition — the text existed before the audio.

Putting it into practice

When it comes to the transcription options honestly compared, the details matter. Here's what the evidence and practitioner experience point to:

• SRT/VTT formats carry timing for player display — Podcasting 2.0 apps use them for caption-style reading.
• Cost-benefit: for most shows, ASR with a light review pass is the sweet spot — perfect verbatim isn't worth the premium.

Key takeaways

• ASR (automatic) accuracy: 85–95% for clean audio — good enough for SEO/notes, not publication-ready verbatim.
• Script-first pipelines (PodKrafter) produce 100% accurate transcripts by definition — the text existed before the audio.
• Cost-benefit: for most shows, ASR with a light review pass is the sweet spot — perfect verbatim isn't worth the premium.

Ready to put this into practice? PodKrafter turns research into broadcast-ready podcast episodes — start free.