Reshaper AI vs Castmagic: Which One Is Best for Podcast Repurposing?

For podcast repurposing specifically, it depends on what you actually need out the other end. Castmagic is built specifically around one source type, a recorded conversation, a podcast episode, a client call, and produces a full, podcast-specific suite from it. Reshaper AI takes the same kind of recording and writes platform posts in your own voice, without the podcast-specific extras. Worth understanding what each one produces before deciding whether you need one, the other, or both. See also the full rundown of AI content repurposing tools for how both compare to the rest of the category.

Overview: what each one is actually for

Upload a recording to Castmagic and it generates a full suite of text assets from that one conversation: a transcript, show notes, a blog post, LinkedIn posts, a newsletter, pulled quotes, speaker bios, and a chat interface for querying the episode's content directly. It's built around podcasters and anyone whose primary content source is a recorded conversation.

Reshaper AI accepts a wider range of sources, a video, a podcast transcript, an article, a LinkedIn post, and turns whichever one you give it into writing for the platform it's landing on, using a voice profile built from your own writing samples rather than the tone of the recording itself.

Differences: source-specific depth vs. cross-source consistency

• Source range: Castmagic is built around recorded conversations specifically. Reshaper AI works from video, articles, and transcripts alike.
• Output volume per source: Castmagic generates a wide, fixed suite of assets (show notes, blog post, newsletter, quotes) from one upload. Reshaper AI generates whichever specific platform outputs you choose.
• Voice: Castmagic's outputs are drawn from the conversation's own content and tone. Reshaper AI applies a separately saved voice profile, useful when the conversation isn't in your own voice, like a client call or an interview.
• Client work: Castmagic doesn't separate voices or spaces per client. Reshaper AI keeps a dedicated workspace and voice per client.

Workflow: the same recording, run through each one

Turning a podcast episode into a content suite with Castmagic:

1. Upload the recording, or connect Riverside/Zoom directly
2. Castmagic transcribes it and generates the full asset suite automatically
3. Review show notes, blog post, LinkedIn posts, and newsletter draft it produced
4. Use the chat interface if you want to pull a specific quote or moment out separately
5. Edit and publish each asset wherever it's going

Turning that same episode into platform posts with Reshaper AI:

1. Paste in the transcript or recording link
2. Pick the platforms you want it repurposed for
3. Reshaper AI writes a distinct draft for each one, in your saved voice, not the guest's or the conversation's tone
4. Review and edit, then save or copy

Pricing: what each one actually costs

Castmagic's plans scale with processing minutes, roughly starting around $19/mo, with a Starter tier around $79/mo including 20 hours of transcription and unlimited AI outputs. Reshaper AI has a free-forever plan with 10 credits resetting every month, then $49/mo for Creator, $149/mo for Pro. Castmagic's pricing tracks how much audio you process, Reshaper AI's tracks how many pieces of content you generate, worth checking both against your actual usage pattern rather than the sticker price alone.

FAQ

Can Reshaper AI generate show notes or speaker bios?

No, those are podcast-production specific formats Reshaper AI doesn't produce. Its output modes are built around social platforms and newsletters, LinkedIn posts, Instagram carousels, Substack notes, not the full production suite a podcast episode page needs.

Does Castmagic learn or match a personal voice the way Reshaper AI does?

Not in the same sense. Its outputs are drawn from the content and phrasing of the actual recording, so if you're the one speaking, it reflects your voice by default. If the recording is a guest interview or a client call, the output leans toward that conversation's tone, not a separately saved profile of how you personally write.

Strengths & weaknesses

Castmagic's strength is depth on a single source type, if your content genuinely starts as a recorded conversation every time, it produces a wide, ready-made set of assets in one pass, including things Reshaper AI doesn't generate at all, like full show notes and speaker bios. Its weakness is that it's tied to the conversation's own voice and content, less useful if what you actually need is output that sounds like you specifically, not like whoever was speaking.

Reshaper AI's strength is the voice profile and the range of source types it accepts. Its weakness is that it doesn't generate podcast-specific assets like show notes or speaker bios, it's built around social and newsletter platforms, not the full podcast production suite.

Verdict: which one fits your source material

• If your primary content is podcast episodes or recorded calls, and you want the full suite, show notes, blog post, newsletter, from each one, Castmagic covers that directly.
• If you want the output written specifically in your own voice, from any source, not just recordings, or you manage more than one client's voice, that's Reshaper AI's job.

A podcaster using Castmagic for the full episode breakdown might still run the resulting blog post through Reshaper AI to get a LinkedIn version written specifically in their own voice, rather than the conversation's.