AudioMaktube

How to Transcribe a Podcast: A Practical Publishing Workflow

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AssiaFounder & Former Business Analyst
|·7 min read

A podcast transcript is one of those things that sounds like extra work until you actually have one. Then you realise you now have show notes, a newsletter, social clips, a searchable archive, and a version of every episode for the people who read rather than listen.

This guide covers the full workflow: from preparing the audio to reusing the transcript across as many formats as your episode is worth.

TL;DR: Run your final episode audio through an AI transcription tool with speaker detection on. Review names, product terms, and quotes. Light-edit for readability. Publish the transcript alongside the episode. Then reuse the same text for show notes, LinkedIn posts, and your newsletter.


Step 1: Prepare the audio before uploading

The quality of the transcript depends almost entirely on the quality of the audio going in:


Step 2: Run the audio through an AI transcription tool

Upload to a tool with speaker detection enabled. The output will be a speaker-separated transcript with timestamps.

With AudioMaktube, upload any audio or video file and the transcript comes with:

Add the guest name and any product terms or brand names to the Vocabulary Library before transcribing. Generic AI models reliably mangle unusual proper nouns. Adding them in advance costs 30 seconds and saves multiple rounds of correction.


Step 3: Review the transcript — where to focus

Do not read the whole thing word by word. Review where errors matter most:

For everything else, a light read-through at 1.5× playback is usually sufficient.


Step 4: Edit for readability — keep it spoken, not written

The principle is simple: remove friction, keep character.


Step 5: Publish the transcript with the episode

A transcript published alongside your episode:

Publish it as full text below your audio player. Include a short episode summary at the top, the guest's name, and a link back to the audio.


Step 6: Reuse the transcript across formats

One podcast episode, properly transcribed, produces:

The Unlimited plan ($15/mo) on AudioMaktube includes a Content creation feature that generates LinkedIn posts, blog drafts, and newsletter copy from any transcript automatically.


When you don't need to transcribe every episode

Short-form episodes (under 10 minutes) with simple content and no guests are often not worth the full editorial effort. A short summary is enough. Save the full transcript workflow for episodes with named guests, specific figures, or content you plan to repurpose.


Frequently asked questions

With an AI tool, the first draft arrives in 3–5 minutes. Review and light editing typically adds 20–40 minutes, depending on audio quality and how many names and terms need correction.

Yes. A transcript gives search engines full text to index. Every specific phrase, product name, or topic your guest mentions becomes searchable. For long-form podcasts on niche topics, this can meaningfully improve organic discoverability.

For most podcasts, clean verbatim — filler words removed, readability improved, structure added — is the right choice. Full verbatim (every "um" and false start included) is only necessary when the wording itself is the subject, such as for linguistic research.

Yes. Speaker detection (diarization) is included from the free tier. The tool identifies and labels each speaker automatically, though you may want to rename "Speaker 1" and "Speaker 2" to the actual names after reviewing.

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About the Author: Assia

Assia is an engineer by diploma, former business analyst by trade, and founder of AudioMaktube. After spending five years sitting through dense technical meetings and manually typing notes, she built AudioMaktube to turn complex audio into clear, actionable decision lists.

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