A short list of things that matter when you are shipping a video a day, and a longer look at the three that make the difference.
TubeFactory reads your videos' real YouTube performance — CTR, retention, views — and learns what works for your channel specifically. Those learnings feed straight back into every new script, title and thumbnail, so the machine compounds instead of repeating itself. Most tools generate and forget; this one improves.
Made a video that works? Spin it off into any language in a click. TubeFactory re-translates the narration, title, description and tags, re-voices it in a native-sounding voice, and reuses the same visuals — then publishes to your language-specific channel. One idea becomes reach in ten markets.
Give a serialized show recurring characters with a locked look. Each character's appearance is baked into every scene they're in, and a reference portrait is fed into image generation — so your lead looks like your lead from shot to shot and episode to episode, instead of a different face every cut.
Every scene gets its own AI-generated sound effect or ambience — distant thunder, a crackling fire, a city at rush hour — layered under the voice and sidechain-ducked so nothing buries the narration. It's the difference between a slideshow with a voiceover and something that feels like a scene.
The cool AI videos you've seen are a human doing dozens of takes and keeping the best. Cinematic mode automates exactly that — it renders several candidate shots per scene and a vision model picks the strongest one, culling the deformed hands and glitches. Slower and costlier, but the output stops looking automated.
A built-in trend radar scores every incoming story on recency and how hard your niche is echoing it, surfacing what's rising right now. Generation automatically leans toward those stories, so your channel is early on the topics that are about to blow up — not late.
Set a lead time and a number. That many minutes before a video is due to publish, the preview link lands on your phone — watch it, approve it, or reject it with a reason. No login, no app. Say nothing and it publishes on schedule.
A rejection is not just a veto. The reason you type becomes standing guidance on the channel, fed to every future generation as a constraint the script has to satisfy — so the same mistake does not come back next week.
Story niches produce numbered episodes that remember what happened before, and collect themselves into a YouTube playlist as they publish. Profile niches produce one biography per subject and never repeat a name.
Pick the output format per channel. Vertical channels get short-form pacing and a tighter script budget automatically — the script is written for the format, not cropped into it.
Run the whole pipeline on your own OpenAI, ElevenLabs, Pexels, Runway and Luma keys for a flat monthly fee, and pay the providers directly at cost. Prefer not to manage keys? Use pay-as-you-go credits instead.
Give a channel as many generation slots as you want — specific times, specific weekdays — and a separate publish time. Everything runs in UTC on a real scheduler, editable at any moment.
Every video keeps a stage log: what ran, when, what it said. When something fails, the error names the provider and the key responsible instead of a stack trace.
You link your own YouTube channel over Google OAuth and keep full ownership. Uploads happen under your account, with your privacy setting, and you can unlink whenever you like.
Automation fails the moment it publishes something you would not have. TubeFactory closes that gap without putting you back in the editing seat: set a lead time per channel, and the finished video reaches you on WhatsApp that far ahead of its slot. The link opens the actual rendered file — not a storyboard, not a script — along with the title, description and scene list going to YouTube.
When you reject a preview you are asked why, in one line. That line does not vanish into a log: it is stored against the channel and injected into every subsequent generation as a constraint the model must satisfy, ranked above the generic style guidance. Reject three videos for burying the hook, and the fourth opens differently.
Story-mode niches do not produce six unrelated videos. Each episode carries a running recap forward, so episode nine knows the arc of one through eight, and the series closes itself when it reaches its ending or its target episode count. Published episodes are gathered into a YouTube playlist automatically.
You know consistency is the whole game and you cannot cut, voice and upload five videos a week alone. Set the schedule once; review on your phone when the preview arrives.
You run several faceless channels across different niches. Each gets its own sources, voice, format, cadence and approval number — from one dashboard.
You produce volume for clients. Route every client channel's approval preview to that client's own WhatsApp number and let them approve their own uploads.
You already have the sources and the audience. Point a channel at your niche and turn the same research into a daily video without writing a second script.