You've recorded your podcast episode. Now the next question comes up: how do you turn that audio file into usable text you can put to work for accessibility, SEO, and content repurposing? In this guide, we compare all three ways to transcribe a podcast side by side, and show you how to save the most time doing it.
Definition: A podcast transcript is the complete written record of everything said in an episode.
3 methods: type it up manually, use an AI transcription tool like Otter.ai or Descript, or let a podcast hosting provider like Podigee transcribe it automatically.
Benefits: better discoverability in search engines, accessibility for Deaf and hard-of-hearing listeners, and a ready-made foundation for blog posts and social content.
Time investment: manual transcription can easily take several times the length of the audio, depending on audio quality, speaker count, and the level of accuracy required. Podigee's automatic AI transcription, by contrast, typically finishes a 45-minute episode in about 5 minutes.
Cost: some AI tools offer free basic tiers, with paid plans typically running from the low double digits up to around $65 a month, depending on the plan and billing cycle. With Podigee, AI transcription is available in every hosting plan, with monthly AI credits depending on your plan.
A podcast transcript is the written-out version of your entire episode. Every spoken word is captured as text, ideally with speakers labeled.
That's what sets a transcript apart from show notes and chapter markers. Descriptions and show notes summarize an episode and link out to sources or guests. Chapter markers break the episode into topical sections with timestamps. A transcript, on the other hand, gives you the full wording, sentence by sentence.
For search engines, screen readers, and content repurposing, that distinction matters: what you need is searchable, complete text, not just a summary.
While search engines have become increasingly capable of understanding multimedia content, a published transcript provides search engines with a clear, crawlable text version of your episode. It also gives you more control over how your podcast's topics, terminology, and key information appear on the web — and can create additional opportunities for your episode to appear for relevant search queries.
A transcript also makes your episode accessible to Deaf and hard-of-hearing audiences. That opens your show up to listeners who otherwise couldn't engage with audio-only content at all, and positions your podcast as a genuinely inclusive format.
A finished transcript is the fastest starting point for more content. With relatively little extra effort, a 45-minute conversation becomes a blog post, several social posts, or a newsletter. For marketing teams, that saves real time compared to building each piece of content from scratch.
Since iOS 17.4, which rolled out in March 2024, Apple Podcasts has shown its own transcripts directly in the app, available in more than 170 countries and regions. Beyond Apple Podcasts, platforms like Spotify also offer transcript features for many shows. Support for transcript delivery and display still varies between podcast platforms and episodes.
There are three basic ways to turn an episode into text. They differ significantly in time, cost, and accuracy.
You listen to the episode and type out every word yourself. This gives you the most control over accuracy and formatting, but it takes a lot of time: manual transcription can easily take several times the length of the raw audio, depending on audio quality, speaker count, and the level of accuracy required. For a 45-minute episode, that can quickly add up to a few hours of work.
Dedicated AI tools like Otter.ai or Descript let you upload your audio file and convert it to text automatically. That saves a lot of time compared to typing it out by hand, but it adds an extra tool and workflow step: exporting from your recording software, uploading to the tool, then downloading the result.
With a podcast host that has AI transcription built in, like Podigee, that extra tool switch disappears entirely. Transcription runs automatically inside the same system where you're already uploading, managing, and publishing your episode. For marketing teams juggling podcast production alongside other responsibilities, this is the path with the least coordination overhead — and for solo podcasters, it's often the option that saves the most time overall.
Here's how automatic transcription plays out in practice:
Upload your episode: Upload your finished audio file to Podigee as usual.
Automatic AI transcription: If automatic transcription is enabled, it starts automatically once your uploaded episode has been encoded, for English, German, and more than 50 other languages.
Correct it in the editor: In the built-in editor, review and correct proper names or industry terms as needed.
Export and use it as your content foundation: Use the finished transcript as the basis for blog posts, social content, or a newsletter.
Automatic display in the web player: The transcript automatically shows up in the Podigee web player and on the episode page, so search engines can index the text.
For a 45-minute episode, Podigee's automatic transcription — once enabled — is often ready in about 5 minutes. The feature is included in every plan, from LAUNCH to CREATOR.
Cost depends heavily on which method you choose.
Typing it up manually: no direct tool costs, but a significant time investment that you or your team need to budget for.
AI transcription tools: some providers, like Otter.ai or Descript, offer free basic tiers, with paid plans typically running from the low double digits up to around $65 a month, depending on the plan and billing cycle. These figures are only rough benchmarks — pricing changes often, so it's worth checking current rates before you decide.
Podigee: AI transcription is available in every Podigee hosting plan without a separate transcription subscription. Usage is based on the AI credits included with each plan.
Publish the full transcript alongside your episode, ideally right in the web player or on the episode's landing page. That makes the complete wording of your episode readable and indexable for search engines.
With Podigee, this happens automatically once the feature is turned on: the transcript appears in the web player and on the episode page without you having to embed it separately. It's also worth checking the transcript for keywords that come up naturally, like industry terms or questions your episode answers.
For many teams, a finished transcript is an efficient foundation for content repurposing. Instead of creating something new from scratch for every platform, you keep working from the same source text.
Blog posts: the key points from an episode become a structured article with subheadings.
Social posts: individual quotes or key takeaways from the transcript work directly as text graphics or captions.
Newsletters: a short summary with the most important quotes can be pulled from the transcript in just a few minutes.
For marketing teams, that means one recording, several channels, and noticeably less effort per piece of published content.
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