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A Castmagic alternative for turning episodes into content

DomeScribe is a transcript-first alternative to Castmagic for creators who want one recording turned into show notes, a blog post, a LinkedIn post, an X thread, a newsletter section, YouTube chapters, and AI-ranked clip picks — written only from what was said. You upload the audio or paste a YouTube, Vimeo, or other supported link, DomeScribe transcribes it, and every draft is generated from that transcript with tone and length controls. Pro is $19/month, there is a free plan to try it, and transcripts auto-delete after 30 days.

Try it on an episode · See Transcribe Studio

Updated 2026-08-23

What it is: Transcription plus an AI content layer: summaries, six repurpose formats, chat, and clip picks from one transcript
Input: Upload MP3, WAV, M4A, FLAC, MP4, MOV, WebM — or paste a YouTube, TikTok, Facebook, X, Vimeo, Twitch, or Dailymotion link
Price (as of August 2026): Free plan to start; Pro $19/month (1,000 transcription minutes and 300 AI credits); Business tier on /pricing
Credits: 1 credit per summary or repurpose draft; 4 chat answers per credit; clip scan 2 credits, then 1 per “find more”
Retention: Uploads deleted after transcription; transcripts encrypted per user and auto-deleted after 30 days
Not included: No speaker labels, no API, no team seats, no subtitle/SRT export, no mobile app

What Castmagic is for, and what DomeScribe does instead

Castmagic is a paid podcast content-generation tool: creators use it to turn recorded episodes into written assets. Check their site for current plans and features — this page makes no claims about them. What it describes is how DomeScribe handles the same job, so you can judge the fit on DomeScribe’s own facts.

DomeScribe starts from a transcript. Upload a file (MP3, WAV, M4A, FLAC, MP4, MOV, WebM) or paste a link from YouTube, TikTok, Facebook, X (Twitter), Vimeo, Twitch, or Dailymotion, and a speech-recognition model produces a timestamped transcript in any of 99 languages with automatic detection. Long files are processed in chunks; YouTube videos that already have captions can be transcribed from those captions without downloading the audio. From that transcript, the AI layer writes everything else.

The content you get from one episode

The AI layer is organized around the assets a podcaster actually publishes each week. Each is a separate draft, generated only from the transcript, and cached so reopening it is free:

Summary (1 credit): TL;DR, key points, action items, and timestamped chapters in YouTube’s chapter format.
Podcast show notes (1 credit): Markdown with an episode summary, timestamped chapters, takeaways, and the names, tools, and links mentioned.
Blog post (1 credit): a standalone Markdown article written from the conversation.
LinkedIn post, X/Twitter thread (5–12 posts by length), YouTube description, and email newsletter section (1 credit each).
Tone and length per draft: professional, casual, or punchy; short, standard, or long.
Chat (4 answered questions per credit): ask what the guest said about a topic and get an answer cited with timestamps; off-topic questions are declined, and repeating a question is free.
Clip picks (2 credits for the first scan, 1 per later “find more”): the 15–75 second moments ranked by hook quote, why it works, platform fit, and score, each with timecodes and copyable text.

Grounded in the transcript, checked against it

Every draft is written from the transcript and nothing else. The model is instructed to use only facts that appear in it, so a show-notes draft will not invent a guest bio, a statistic, or a link that was never mentioned. The workspace shows the transcript beside the draft, and clicking a chapter or chat timestamp seeks the player to that moment, so verifying a name or a number takes seconds rather than a re-listen.

That grounding is the main reason to prefer a transcript-first tool for show notes and blog posts: the output reads like the episode because it was built from the episode.

Clips: picks, plus a manual vertical editor

DomeScribe does not produce finished, auto-reframed vertical clips with face tracking. What it does: the clip scan ranks the best 15–75 second moments with timecodes and a quote, and if the original file is on hand in the browser (you uploaded it), each pick can be cut into a real MP4 or audio clip in the browser on a paid plan — no upload. Link-sourced recordings get picks only; DomeScribe never provides the platform’s media file.

For vertical video, Clip Studio (/clip-studio) is a hands-on reframing tool: upload MP4, MOV, WEBM, or MKV, pick one of six layouts (Full, Stack, Trio, Spotlight, Inset, Wide), record the framing live, add burned-in captions generated from the transcript, and export a 1080×1920 MP4 rendered in the browser. The video never uploads; only a take’s audio is sent to generate captions. A sample project is free to practice on; your own footage needs a paid plan.

Pricing and limits, as of August 2026

The Free plan includes 30 minutes of transcription one-time (not monthly), a 30-minute cap per file, and 5 AI credits to start, with no credit card required. Pro is $19/month for 1,000 transcription minutes per month (up to 4 hours per file) and 300 AI credits per month; TXT export is free and DOCX, PDF, and JSON exports are on paid plans. A higher Business tier exists — see /pricing for its numbers. Unused free minutes do not refill; paid minutes and credits reset monthly.

Where DomeScribe is not the right fit

Be clear-eyed about the gaps before you switch. DomeScribe has no speaker labels (diarization), so a transcript is not split by who is talking. There is no translation, no subtitle or SRT (SubRip Subtitle) export of transcripts, no API, no team seats or shared workspaces, no mobile app, and no meeting bot that joins calls. Clip Studio is manual — you frame the shot; there is no AI auto-reframing. Transcripts auto-delete after 30 days, so it is not a permanent archive. If any of those is essential to your workflow, a different tool will serve you better.

Questions, answered

Is DomeScribe a free Castmagic alternative?

DomeScribe has a free plan: 30 minutes of transcription one-time, a 30-minute cap per file, and 5 AI credits, with no credit card. Producing content every week needs Pro ($19/month as of August 2026: 1,000 minutes and 300 credits per month). Castmagic’s own plans are on their site.

Does DomeScribe generate show notes like Castmagic does?

DomeScribe generates Markdown show notes — summary, timestamped chapters, takeaways, mentions — from the episode transcript for 1 AI credit per draft, with tone and length controls. This page does not describe Castmagic’s output; check their site for that.

Can I paste a YouTube link instead of uploading the audio?

Yes. DomeScribe accepts links from YouTube, TikTok, Facebook, X (Twitter), Vimeo, Twitch, and Dailymotion and transcribes the recording from the link (for YouTube videos with captions, it can use those directly). The link is used only to produce the transcript — no media file is provided.

Does DomeScribe identify speakers?

No. Transcripts are timestamped by segment but not labelled by speaker. If speaker-separated transcripts are essential, DomeScribe is not the right fit.

Does it make vertical clips automatically?

No. The clip scan ranks moments and, for uploaded files on a paid plan, can cut them into MP4 or audio clips in the browser. Vertical 9:16 clips come from Clip Studio, where you choose a layout and record the framing yourself; there is no AI face tracking or auto-reframing.

What happens to my episode after I upload it?

Transcription runs on DomeScribe’s servers. The uploaded file is deleted after transcription; an audio copy is kept only for in-app playback for the transcript’s lifetime and is never downloadable. The transcript is encrypted with a per-user key and auto-deletes after 30 days, or sooner if you delete it.

Can my team share one DomeScribe account or use an API?

No. As of August 2026 DomeScribe has no team seats and no API; each account is for one person working in the web app.

Try it on your own recording

Free to start — 30 minutes of transcription and 5 AI credits, no card required.

Try it on an episode · See pricing