CastToAny turns podcasts, YouTube videos, audio files, and TikTok clips into accurate, editable transcripts with timestamps and speaker labels. Then transform the transcript into summaries, show notes, blog articles, X posts, and LinkedIn content—all in one workflow. It helps creators repurpose existing content faster without repeatedly copying transcripts between different AI tools.
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Maker
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Hey Product Hunt! 👋
I’m Rick, the maker of CastToAny.
I built CastToAny because repurposing a podcast or video usually means jumping between several different tools: one for transcription, another for summaries, and another for writing blog posts or social content.
With CastToAny, you can upload an audio or video file, or import content from YouTube and TikTok, and receive an editable transcript with timestamps and speaker labels. From the same transcript, you can generate summaries, show notes, blog articles, X posts, and LinkedIn posts.
My goal is simple: help creators get more value from content they have already produced, without spending hours rewriting and copying everything between tools.
This is still an early version, and I’d genuinely love your feedback:
1. Which content format should I add next?
2. What part of your current repurposing workflow takes the most time?
3. Is there anything stopping you from using a tool like this regularly?
Thanks so much for checking out CastToAny! 🙌
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The timestamp accuracy was better than I expected on a long interview episode, and jumping straight from transcript to LinkedIn post in one step saved me a real chunk of time.
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The fact that you keep speaker labels consistent across long interviews is genuinely impressive, since most transcription tools lose track after a few minutes. Saves so much cleanup time when turning episodes into blog posts.
The timestamp accuracy was better than I expected on a long interview episode, and jumping straight from transcript to LinkedIn post in one step saved me a real chunk of time.
The fact that you keep speaker labels consistent across long interviews is genuinely impressive, since most transcription tools lose track after a few minutes. Saves so much cleanup time when turning episodes into blog posts.