CastTranscript

Generates timestamped podcast transcripts with speakers and chapters.

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About CastTranscript

CastTranscript is an innovative AI-powered podcast transcript generator designed to transform any podcast episode into a detailed, interactive, and timestamped transcript. By simply pasting a podcast episode link from platforms like Apple Podcasts, Spotify, or an RSS feed, CastTranscript fetches the publicly available audio and generates transcripts that include speaker identification, chapters, and comprehensive show notes. It supports multiple export formats such as TXT, Markdown, SRT, and VTT, facilitating versatile use in content creation, accessibility, and research.

With a user-centric interface, CastTranscript enables users to follow the audio playback in real-time alongside the transcript, edit speaker names effortlessly, and produce clean, searchable documents. Its seamless operation requiring no downloads or browser extensions caters to a broad audience including podcasters, journalists, researchers, marketers, language learners, and those with accessibility needs. The platform offers a free preview feature without account creation and various flexible pricing plans to accommodate different transcription demands.

Use Cases

A journalist uses CastTranscript to quickly find exact quotes with timestamps for an article about a recent tech podcast interview, saving hours of manual listening.
A podcaster transcribes each episode automatically to generate enhanced show notes and chapter markers, boosting SEO and providing accessible content for their audience.
A language learner follows along with the transcript while listening to improve comprehension and pronunciation of native speakers in diverse podcast episodes.
A marketer extracts snippets and subtitles from industry podcasts to create social media clips and blog posts, optimizing content repurposing and engagement.
A researcher transcribes multiple podcast interviews on a niche topic to analyze patterns and cite precise moments for an academic paper.
An accessibility advocate provides deaf or hard-of-hearing listeners with accurate and timestamped transcripts of popular podcasts, enhancing content inclusivity.

Key Features

Transcribes podcasts from Apple Podcasts, Spotify, or RSS feed links
Generates timestamped transcripts with word-level timing
Includes speaker labels with editable names
Provides chapters and show notes with episode summaries
Exports transcripts in TXT, Markdown, SRT, and VTT formats

Pricing

CastTranscript offers a freemium pricing model that allows users to transcribe the initial minutes of any podcast episode for free without requiring an account. Upon registering a free account, users gain an additional 30 minutes of transcription time. For extended use, pricing is based on an hourly model with no per-seat fees. The subscription plan includes a $15 per month option that provides 20 hours of transcription monthly, with annual billing offering a discount of two free months. Alternatively, users can purchase one-time hour packs starting at $9 for 10 hours, which do not expire, ideal for occasional transcription needs or catching up on backlogs. This flexible pricing approach caters to various user requirements, from casual listeners to professional content creators.

Pros & Cons

Pros

+ Supports direct transcription from popular podcast platforms (Apple Podcasts, Spotify) and RSS feeds, streamlining the transcription process.
+ Generates detailed, timestamped transcripts with editable speaker labels and chapters, enhancing usability and accuracy.
+ Multiple export options (TXT, Markdown, SRT, VTT) allow for versatile applications including subtitles and blog content.
+ No software downloads or browser extensions required; fully web-based for convenience and accessibility.
+ Free preview and freemium account model enable users to test quality before committing financially.

Cons

- Cannot transcribe Spotify-exclusive podcasts without a public RSS feed, limiting coverage for some shows.
- Accuracy, while high, depends on audio clarity and speaker distinction, which may require manual correction.
- Currently supports a select range of languages with best results in widely spoken ones; less effective for niche languages or heavy accents.
- Does not support video platforms like YouTube or TikTok for transcription, limiting content sources to audio-only podcasts.

Frequently Asked Questions

How do I get a transcript of a podcast episode using CastTranscript?

Simply copy the episode link from Apple Podcasts, Spotify, or the show's RSS feed and paste it into CastTranscript. The tool fetches the audio from the public feed and generates a detailed transcript you can read, search, and export.

Is CastTranscript completely free to use?

You can preview transcriptions of podcast episodes for free without an account. Creating a free account adds 30 minutes of transcription. For longer usage, paid plans based on hours of transcription are available.

Can I transcribe any Spotify podcast with CastTranscript?

You can transcribe Spotify shows that also publish their RSS feed, which applies to most podcasts. However, Spotify-exclusive shows without public RSS feeds aren’t supported.

How accurate are the transcripts?

CastTranscript offers about 98% accuracy on clear, well-spoken audio. Word-level timestamps and speaker labels are generated when the model detects separate voices, though some manual editing may be needed for complex audio.

What export formats does CastTranscript support?

You can export transcripts as plain text (TXT), Markdown with show notes, or subtitle formats including SRT and WebVTT, suitable for video captioning and various content repurposing needs.

Does CastTranscript identify who is speaking in the podcast?

Yes, it applies speaker labels by detecting different voices. You can rename speakers throughout the transcript for consistent and accurate attribution.

Can I use CastTranscript transcripts for publishing on my own website?

Podcasters can publish transcripts of their own episodes freely. For others, it's advisable to get permission from the original podcast creators before republishing full transcripts, respecting copyright and ownership.