The Best AI Tool for Transcribing Podcasts in 2024

I tested five transcription services on the same 45-minute interview. One was perfect. Two were unusable. Here is what I found.

The Setup

I recorded a 45-minute interview with a fellow entrepreneur. We talked about AI tools, business strategy, and the mistakes we made. Then I ran the same audio file through five different transcription services.

The services: Otter.ai, Descript, Whisper (OpenAI), Rev, and Trint.

The Results

Otter.ai: Good accuracy, terrible speaker separation. It kept merging our voices into one. Not usable for interviews.

Descript: Excellent accuracy. Great speaker labels. The editing features are genuinely useful. But it is expensive at $22/month.

Whisper: The most accurate of all. But it requires technical setup. You need to run it locally or use an API. Not for beginners.

Rev: Good accuracy, slow turnaround. Took 12 hours for a 45-minute file. That is fine for some use cases, not for mine.

Trint: Fine accuracy, clunky interface. I spent more time navigating the app than I saved on transcription.

The Winner

For most people, Descript is the winner. It is accurate, easy to use, and the editing features actually save time. The price is high, but if you transcribe regularly, it pays for itself.

For technical users, Whisper is unbeatable. It is free, accurate, and fast. But you need to be comfortable with the command line.

My Workflow

I use Descript for client work (where accuracy matters) and Whisper for my own content (where I do not mind spending a few minutes on setup).

The key insight: transcription is only half the battle. The real value is in what you do with the transcript. I use AI to pull quotes, summarize sections, and generate social clips. That is where the time savings really add up.