Castmagic AI

Castmagic is an AI tool designed to transform audio content into a plethora of ready-to-use assets. 
This innovative and powerful tool AI tool is for long-form audio content and podcasts.

By simply uploading an MP3 file, users can obtain transcripts, notes, summaries, highlights, quotes, and even social media posts. 

Castmagic AI tool is particularly beneficial for audio editing, podcast production, marketers, podcasters, content creators, and anyone looking to maximize the potential of their audio recordings.

Castmagic Features

Castmagic is an audio content transformation tool that offers a plethora of features tailored to enhance the productivity of content creators:

  • Transcription: Converts entire audio episodes into a clean, written format, making content accessible to a wider audience.
  • Show Notes: Generates comprehensive notes, including timestamps and topics, ensuring listeners can navigate episodes with ease.
  • Summaries: Provides concise breakdowns of discussions, allowing readers to grasp the essence of the content quickly.
  • Social Content: Enables creators to craft engaging tweet threads, LinkedIn posts, and quotes, amplifying their reach.
  • Automated Workflow: Streamlines the content creation process, from transcription to content generation, making it seamless and efficient.

Castmagic Use Case – Real-World Applications

Castmagic is Ideal for podcasters and content creators, and can be utilized for the following purposes:

  • Podcasting: Transcribe episodes, generate show notes, and craft engaging social media snippets.
  • Content Marketing: Transform audio interviews into blog posts or articles.
  • Education: Convert lectures into written notes for students.
  • Business Professionals: Summarize meetings and generate actionable insights.
  • YouTubers: Extract key points from videos and create promotional content for other platforms.

Castmagic Pricing

Castmagic offers a diverse range of pricing plans. Each plan is designed with the user’s needs in mind, ensuring they get the best value for their investment. Here are the different pricing plans of Castmagic:

  • Hobby Plan ($23/mo): The Hobby Plan is priced at $23 per month and provides users with 200 minutes of audio processing. It includes features such as multiple workspaces, all content outputs, and custom prompts.
  • Starter Plan ($59/mo): At $59 per month, the Starter Plan offers 500 minutes of audio processing. Users benefit from multiple workspaces, comprehensive content outputs, custom prompts, and agency support.
  • Rising Star Plan ($179/mo): The Rising Star Plan, priced at $179 per month, grants users 1500 minutes each month. It comes with added advantages like API access, custom prompts, unlimited prompts, and agency support.
  • Enterprise Plan: Tailored for larger entities, the Enterprise Plan is customized to fit unique requirements. It’s an ideal choice for studios, platforms, and publishing houses, offering volume discounts and specialized technical support.

FAQs

Who is Castmagic for? 

Castmagic is designed for podcasters, content creators, and anyone looking to transform their audio recordings into a variety of content assets.

How does Castmagic work? 

Users simply upload their audio file (or provide a YouTube link), and select the desired content outputs. And Castmagic helps you create content easily.

Is there a Castmagic free trial? 

Yes, Castmagic offers a free trial for users to experience its capabilities before committing to a paid plan.

Can I use Cast Magic for YouTube videos? 

Yes, you can use Castmagic by uploading audio from YouTube videos.

Is Castmagic AI easy to use?

Yes, Castmagic is designed to be user-friendly, automating content generation from audio with ease.

About GilPress

I'm Managing Partner at gPress, a marketing, publishing, research and education consultancy. Also a Senior Contributor forbes.com/sites/gilpress/. Previously, I held senior marketing and research management positions at NORC, DEC and EMC. Most recently, I was Senior Director, Thought Leadership Marketing at EMC, where I launched the Big Data conversation with the “How Much Information?” study (2000 with UC Berkeley) and the Digital Universe study (2007 with IDC). Twitter: @GilPress
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