Launching today
PodcastorAI
Your AI twin hosts your video podcast
556 followers
Your AI twin hosts your video podcast
556 followers
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.
the 15 minute turnaround is impressive but I'm curious how it holds up past the 2-3 minute mark, most AI avatar stuff still has a slight uncanny valley thing with head movement and blinking during longer stretches of talking. have you had people watch a full episode without knowing it's a digital twin and not notice?
PodcastorAI
@omri_ben_shoham1 That’s a very real challenge, especially in long-form content. We’re not claiming the digital twin is completely indistinguishable yet, so we built an intelligent alternating-shots system to vary the framing and keep longer episodes from feeling visually repetitive. We’re also developing a new model that adds context-aware emotion and body language, making the host feel much more natural and expressive over longer stretches.
Really cool, and crazy idea. Can't wait to test it out. When you generate a two-host episode from a document, do the hosts ever actually disagree, or just take turns agreeing? That friction and chemistry is (almost) always what makes it worth listening to.
PodcastorAI
@aidan_codefox Thanks! We completely agree that chemistry and friction are what make a two-host conversation worth listening to. That’s why we offer three formats: Deep Dive, where both hosts unpack a topic together; Debate, where they take opposing sides and challenge each other; and Storytelling, where one leads the story while the other asks questions and keeps it moving. So if you want real disagreement rather than two hosts simply taking turns agreeing, Debate is built specifically for that.
ViewCoder
Curious, where did GPT-5.6 Sol make the biggest difference for PodcastorAI?
PodcastorAI
@erok_chen The biggest difference was not simply faster coding, but making our entire development loop more reliable. GPT-5.6 Sol with Codex became especially effective at understanding requirements and navigating complex, cross-module changes, so we could move from planning to implementation and verification with far less back-and-forth. We also use it in production monitoring: agents inspect failed tasks and logs, trace issues across the database and codebase, then prepare fixes for our team to review. That has helped us iterate faster while catching risks much earlier.
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!
PodcastorAI
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?
PodcastorAI
@sylvialane makes sense that identity persistence was a deliberate design target rather than a side effect - that's the harder engineering problem than the initial generation.
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.
PodcastorAI
@wesc Exactly. A clip isn’t useful if it removes the nuance that made the original point valuable. Our goal is to make repurposing genuinely additive: preserve the speaker’s intent and context while adapting each cut for the platform, without creating another editing workflow for the creator. That principle is guiding how we’re building the AI clipping feature.
PodcastorAI
@wesc Honestly Wes, this is the stuff that keeps me up at night. The second review queue is exactly the trap — you save time on the cut and lose it all again checking the clips. Keeping the original context attached is the part we're still wrestling with, but you just described the version we're trying to get to.
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.
PodcastorAI
@podcast_ai That’s the right metric, and we don’t have enough controlled retention data yet to claim that AI-avatar episodes match real-camera footage. Before building Podcastor, we studied a number of AI podcast channels on YouTube with tens or even hundreds of thousands of subscribers and strong view counts, especially in storytelling and education. There’s still a gap versus great on-camera content, but those categories show that AI-hosted formats can already work well when the content fits.
We’re now running our own YouTube experiments across several topics and collecting more data. We’d love to have more audio-first creators join us so we can build a clearer picture of where this format creates the most value.