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PodcastorAI

Your AI twin hosts your video podcast

Social Media
Marketing
YouTube
OpenAI Day
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Hunted byChris MessinaChris Messina

Create studio-quality video podcasts from scripts, links, PDFs, or ideas — with AI hosts, natural voices, and your digital twin. Podcastor handles production and puts you on screen, turning hours of recording and editing into a finished video podcast in around 15 minutes. Create solo or two-host episodes and get a publish-ready video without cameras or a production team. Already have an audio episode? Upload it and transform it into a video podcast with your voice and AI avatar.

Top comment

are you running custom models for avatar or external APIs? generating 30 min videos in 15 mins is good latency.

Comment highlights

The AI twin part is what stands out. Most tools give you a generic avatar, this actually puts you on screen. Congrats on the launch!

This could be a great tool for teams that regularly repurpose webinars, reports, and blog posts into video content. Do you currently support team collaboration and brand kits, and is API access part of the roadmap?

the two-host episode format is the part I'm curious about. with one AI host it's just pacing/lip-sync against your own audio, but with two, is there actual back-and-forth timing between them, interruptions, reacting to what the other one just said, or is each host's track generated separately and then interleaved so it reads more like alternating monologues than a real conversation?

I am curious how PodcastorAI handles difficult names, acronyms, and specialized pronunciation.

I can imagine uploading a true crime script and using two hosts to present the narration and analysis.

My favorite part isn't even the AI avatar, it's compressing the entire production workflow into minutes. That changes who can consistently create content. Curious, how much editing do users typically do after the first generated version?

30 minutes for a single video is genuinely surprising — that alone covers most real episodes. One thing I'm curious about, though: most video-generation models I've used are pretty careful about how they handle a real person's likeness as reference. Where does Podcastor draw that line? Concretely — could I upload a photo of Elon or Tim Cook and bring them on as an "AI guest" on my show, or is likeness locked to the account owner / consented identities only? For a product built on digital twins, that consent boundary feels like it matters as much as the tech itself.

Congrats on your launch! How long does it usually take to render a one-hour video podcast with lip sync?

This solves a real creator problem. Writing or recording the content is often easy compared with everything that comes afterward.

That is exactly the balance I was getting at. Turning one full episode into platform-ready clips without adding a second review queue sounds like the right direction, especially if the original context stays attached to the cuts.

The digital twin angle solves the camera problem, but the workflow after the episode seems just as interesting for creators. When someone turns one podcast into YouTube, clips, and social posts, how do you preserve the speaker's intent while adapting the edit and framing for each format? That is where a fast production shortcut either creates leverage or just creates more review work.

The audio-upload path is the part that catches my eye. Most podcasters I talk to have a big back catalog of audio-only episodes and no realistic way to get them onto YouTube as video. Have you seen how the AI-avatar episodes hold up on retention versus real-camera footage? That's the number that would decide it for the audio-first crowd.

the digital twin part is the interesting bet - if you re-record one line weeks later does the AI voice/face stay consistent with the original episode, or is there drift between sessions?

love this one! question: for long or pre-recorded episodes, does the AI host lip syncs with the audio? and what about the changes in style and tone within one same episode? thanks and congrats!

The option to create a solo or two-host podcast is a nice touch. A lot of tools seem built for only one format.

no team seats yet? asking cause i'd want this for more than just me.

not gonna lie, kinda worried every podcast using this starts sounding the same eventually.

Damn, nice one. Congrats on the launch. “NotebookLM can write a podcast; Podcastor puts you on screen” is a very clear way to explain it. The digital twin side is interesting, but I’d want to know how much control you have over the final performance. Can you adjust pacing, tone, pauses and host reactions after generation, or do you mostly accept what comes back? That feels important for educators and experts in particular. A technically polished avatar is useful, but only if it still sounds like the person behind the content.

About PodcastorAI on Product Hunt

Your AI twin hosts your video podcast

PodcastorAI launched on Product Hunt on July 23rd, 2026 and earned 320 upvotes and 95 comments, earning #3 Product of the Day. Create studio-quality video podcasts from scripts, links, PDFs, or ideas — with AI hosts, natural voices, and your digital twin. Podcastor handles production and puts you on screen, turning hours of recording and editing into a finished video podcast in around 15 minutes. Create solo or two-host episodes and get a publish-ready video without cameras or a production team. Already have an audio episode? Upload it and transform it into a video podcast with your voice and AI avatar.

PodcastorAI was featured in Social Media (89.2k followers), Marketing (466.3k followers), YouTube (16.9k followers) and OpenAI Day (9 followers) on Product Hunt. Together, these topics include over 105.6k products, making this a competitive space to launch in.

Who hunted PodcastorAI?

PodcastorAI was hunted by Chris Messina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how PodcastorAI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.