To transcribe a podcast, content creators first need to decide whether to manually write out their audio or turn to artificial intelligence. For those who want to save time and smooth the post-production process, the latter option is typically the better choice.

Transcribing podcast audio into text extends a show’s reach, improves search results, and improves access for every listener. Whether you create an independent interview series or oversee corporate media networks, creating a robust and repeatable podcast transcription workflow will help you transform raw media into adaptive content in a fraction of the time.

This guide explains the fundamentals of how to transcribe a podcast with AI, outlining step-by-step processes, publishing criteria, and methods for repurposing content.

Summary

Podcast transcription converts episode audio into written text, complete with speaker labels and timestamps, enhancing your show's accessibility and searchability.
A dependable workflow begins with an audio file you possess and concludes with a review before exporting.
AI transcription delivers a complete episode within minutes, while a human review improves accuracy for challenging audio or critical quotes.
SRT and VTT files are ideal for podcast apps and captions, while plain text or HTML files are better suited for your website and blog.
Both Apple Podcasts and Spotify accept transcripts provided by creators. Having a complete transcript on your episode page gives search engines the full text of the conversation.

What podcast transcription is and why it matters

Podcast transcription is the process of converting a podcast episode's spoken audio into written text. A complete transcript identifies who is speaking and marks when each segment begins. Both human and AI transcription services generate transcripts, and many creators use a combination of the two.

Creators transcribe their episodes for four practical reasons:

Accessibility: A transcript gives deaf and hard-of-hearing listeners full access to your content and episodes. It also serves the type of listener who prefers to read or skim content.
Search visibility: Text is indexed by search engines for better visibility. A transcript posted on your episode page provides search engines like Google with the complete content of the conversation for ranking purposes.
Content repurposing: Transcripts provide the foundational content used to craft show notes, blog entries, newsletters, and posts for social media.
Searchable archives: With a repository of transcripts, your team and listeners can easily find the precise episode where a subject was mentioned.

The level of platform support has increased the stakes. Apple Podcasts auto-generates transcripts for new episodes and lets listeners tap any line to play the audio from that point. Spotify shows transcripts in its mobile app for eligible creators. Your transcript now sits right beside the episode, making it a part of the listening experience.

How to transcribe a podcast: Step-by-step workflow

You can transcribe a podcast episode in five steps: export the audio, choose a method, upload and configure, review the output, and export the final file. Each step below stands on its own, so you can return to the one you need.

Step 1: Export the episode audio

Start with an audio file you own or have the rights to transcribe. That is usually the master export from your recording software or the published file from your podcast host. Use the highest-quality version available, since clean audio gives the model the clearest signal.

If your hosts and guests recorded on separate microphones through a mixer or a remote recording platform, keep the multi-track or multichannel file. It unlocks cleaner speaker separation in step 3. ElevenLabs accepts AAC, AIFF, OGG, MP3, OPUS, WAV, FLAC, M4A, and WebM audio, plus video files for video podcasts, up to 3GB per file in the web app. Standard mode accepts recordings of up to 10 hours long.

Step 2: Choose your transcription method

Assess whether the AI transcription is accurate enough on its own or if the episode should undergo a human review process. A solo performance captured in a treated space typically requires just a brief self-assessment. A panel of six people recorded via video calls might require additional resources.

Podcast transcription software and podcast transcription services differ in turnaround time and in how they handle difficult audio. Here are the main benefits of choosing human or AI podcast transcription:

AI podcast transcription: ElevenLabs Scribe v2 transcribes audio and video files in over 90 languages and bills by the hour of audio you send.
Human transcription services: Professional transcription services manually review every line of your podcast, which pays off for dense jargon or when you need quotes that must be exactly intact. However, turnaround time will be longer, and the per-minute cost of transcription will be significantly higher.

A hybrid review of human and AI may suit some creators best, as it allows you to produce high-quality transcripts at speed while still saving on cost.

Step 3: Upload and configure

In ElevenCreative, open Speech to Text, click Transcribe files, and upload your episode. Before you submit, set the options that match your recording:

Language: Leave this on Detect for multilingual episodes, or choose the primary language if you know it.
Speaker diarization: Scribe detects and labels each speaker automatically and supports up to 32 speakers in one file.
Multichannel transcription: When each speaker sits on a separate channel, the API processes every channel independently and assigns a speaker ID by channel number, for up to five channels.
Keyterm prompting: Add guest names, your show name, sponsor names, and recurring jargon so the model spells them correctly. Batch transcription accepts up to 1,000 key terms and adds 20% to the base transcription cost.
Audio event tagging: Turn on Tag audio events to mark laughter and applause.
Clean output: Through ElevenAPI, set no_verbatim to remove any filler words and false starts.

Step 4: Review and edit the output

Open the finished transcript in the Transcript Editor. Click any word to play the audio from that point, then correct misheard names and reassign any lines attributed to the wrong speaker. The editing section below covers verbatim and clean output in more depth. Check the Transcription Editor Guide for more editing details.

Step 5: Export in the format you need

Click Export and pick the format for your destination. An HTML or plain text file suits your episode page, and an SRT or VTT file suits captions and podcast platforms. The formatting and publishing sections below explain which file goes where.

How to best record podcast audio for accurate transcripts

Features like no_verbatim go a long way to producing a final transcript that’s legible and accurate. However, for best results, incorporate the following habits into your recording process before you upload:

Record each speaker separately: Where possible, use a separate microphone and track for each individual person. Then transcribe with multichannel transcription for cleaner speaker separation across all of your guests.
Avoid talking over one another: Episodes with crosstalk or loud music can be hard to transcribe. Where possible, speak in turn.
Transcribe a voice-only export: Loud music can make speech harder to transcribe. Upload a mix without music or sound effects when you have one.
Add brand and guest names with keyterm prompting: Add your brand name and guest names to your pronunciation dictionary. Adding keyterms allows for more accurate transcription.

How to format a podcast transcript

A transcript presented as a continuous block of text is difficult to read and quote, even if every word in it is accurate. A great podcast transcript breaks the conversation down into short speaker-labeled segments with timestamps. From there, you can export that to the file type your destination expects.

Timestamp

Speaker

Text

00:00:04

Host

Welcome back to the show. Today we are talking about how small teams plan a release calendar.

00:00:11

Guest

Thanks for having me. We started by mapping every launch to one shared calendar.

00:00:19

Host

[laughter] That sounds like a lot of color coding.

ElevenCreative supports exporting transcripts in a range of formats. Identify the choice that aligns with where the transcript will be stored. The formats listed in the Transcript Editor guide are:

Format:

Best used for:

Plain text

Drafting show notes and blog posts

HTML

Publishing the full transcript on your episode page

SRT or VTT

Captions for video podcasts and transcript uploads to Apple Podcasts and Spotify

JSON

Developers who need word-level timing data for search tools or custom players

TheSpeech to Text product guide also walks through the upload and export options in ElevenCreative.

How to add speaker labels, timestamps, and audio context

Speaker labels enhance the readability of a transcript. Scribe v2 detects each voice in a shared recording and automatically marks the speaking turns through diarization. When your setup records each person on a separate mic and track,multichannel transcription gives cleaner separation. Every channel corresponds to a single speaker, allowing the model to assign each word to its originating track. Once transcribed, change generic labels such as speaker_0 to the names of your host and guest.

By adding timestamps, a transcript becomes easier to navigate. Scribe v2 provides timestamps at the word level, while the API additionally supports timing at the character level. This level of precision drives tap-to-play transcripts in podcast applications, letting users skip straight to the start of a topic. Spotify also needs timestamps in the uploaded transcript files to keep the text synchronized during playback.

Audio context ensures the conversation's tone remains consistent. Switch on audio event tagging to detect non-verbal sounds like applause and laughter. In interviews and comedy shows, the audience's reaction forms part of the content, and including a tag like [laughter] captures that moment for readers of the text format.

Edit for accuracy without losing the speaker's meaning

Start the editing process by selecting either verbatim or clean output. Scribe v2 features a no-verbatim mode that eliminates filler words and creates a more fluid reading experience. Verbatim output retains every word exactly as spoken.

Apply this guideline when making your choice:

Clean transcripts: Use them for show notes and blog repurposing, where readability matters most.
Verbatim transcripts: Use them for news and legal podcasts, or for any episode where a guest's exact words might be quoted or scrutinized. If you publish a clean version of a sensitive episode, check every quote against the verbatim transcript first.

The Transcript Editor in ElevenCreative allows you to correct mistakes while listening to the audio. Select any word to begin playback from that position, then enter your correction directly. You can split and combine segments, move timestamp handles, assign segments to another speaker, and reduce playback speed for difficult-to-hear sections. Once you have edited a segment, choose Align words to recalculate its word-level timestamps.

Publish podcast transcripts on podcast platforms and your website

To maximize the reach of your transcripts, distribute them strategically across platform apps and your owned web domain. Each channel uses distinct technical protocols to display text to listeners.

Apple Podcasts allows creators to supply custom transcript files directly through RSS feeds using the <podcast:transcript> namespace tag. Creators can also upload SRT or WebVTT files directly within Apple Podcasts Connect. Note that these creator-provided files are separate from Apple's native in-app auto-transcripts, which are read-only and cannot be exported. See Apple’s transcripts guide for more details.

Spotify automatically generates transcriptions for select shows, but coverage across catalog episodes remains variable. Providing your own verified transcript through your RSS feed helps ensure Spotify displays accurate text that reflects your actual show content. For more information, read Spotify’s podcast transcripts guide.

Publishing the complete transcript on your official website episode page remains a reliable strategy for search engine indexation. Embedding written text directly on your domain ensures search engines index your episode content, driving organic web traffic independently of platform shifts.

Platform specifications and RSS feed requirements change over time. Production teams should always verify the current technical documentation provided by Apple Podcasts, Spotify, and their podcast hosting service before deploying new RSS tags.

Repurpose podcast transcripts for SEO, clips, and social posts

Only a few listeners read an entire transcript from beginning to end. Its greatest value is serving as the foundation for all other content you create about the episode. Since the text includes timestamps and speaker labels, you can trace every derived segment to the exact point in the audio.

Blog posts: Turn a strong 10-minute segment into a standalone article. Edit the spoken answers to written form while keeping the guest's key phrasing, then link back to the episode.
Social posts: Pull quotable lines directly from the transcript. Scribe's timestamps are word-level; you can confirm the exact wording and find the matching audio in seconds.
Chapter markers: Scan the transcript for topic shifts and note their timestamps. Chapters help listeners navigate long episodes, and Apple Podcasts uses them to break transcripts into sections.
Clip selection: Use the JSON export's timing data to locate powerful moments, such as a laugh line or a sharp answer, before you open your video editor.

The full transcript on your episode page remains its own search asset, separate from any derivative content. A blog post might target one keyword, while the complete transcript captures the long-tail phrases your guests used naturally. For more information, look at other ways content creators use speech to text.

ElevenLabs supplies the accurate, time-stamped transcript that makes this repurposing possible. Cutting video clips and designing social graphics happen in separate editing tools.

Get started with ElevenCreative for podcast transcription

ElevenCreative gives you the full podcast transcription workflow in your browser. Upload an episode toSpeech to Text, then review the result in the Transcript Editor before exporting to the formats Apple Podcasts and Spotify accept. Scribe v2 transcribes more than 90 languages and is the default model in the web app.

Developers can build the same workflow into a podcast hosting platform or publishing pipeline with theSpeech to Text API. The API adds options such as multichannel transcription and webhooks for long files.

Start transcribing your podcast today. Try theElevenLabs podcast transcript generator on your latest podcast episode.