AI Faceless Video Generator

Give it a subreddit, a story, or a topic and it returns a finished faceless short: an AI-written script, an AI voiceover, cinematic scene images with ken-burns motion, and word-synced captions burned in. It runs the whole pipeline in one go, so the output is a ready-to-post vertical video for TikTok, Reels, or YouTube Shorts. Built for people churning out faceless content who don't want to stitch five tools together by hand.

How it works

It pulls the source text (top Reddit post via RSS, or your own story/topic), rewrites it into a tight retention script, generates the voiceover with OpenAI TTS, transcribes that audio back to get per-word timings, generates one scene image per ~6 seconds with gpt-image-1, then animates the stills with ffmpeg ken-burns and burns the captions over the top.

Input

Nothing is strictly required, but you do need to give it a source (one of subreddit, story, or topic) and an OpenAI key. subreddit is prefilled with tifu so a run with just a key will produce something. Run it with no key and it returns one labelled SAMPLE row showing the output shape instead of a video — that row is billed like any other (see Pricing).

Field	Required	Notes
subreddit	one of source	Pulls the top post with enough body text, e.g. tifu, AmItheAsshole, nosleep. Prefilled tifu.
story	one of source	Your own text to turn into a video. Overrides subreddit.
topic	one of source	A topic to write about from scratch. Overrides subreddit.
openaiApiKey	yes in practice	Bring your own key. Used for script, TTS, transcription, and images. Kept private.
tone	no	Script tone: dramatic (default), casual, funny, emotional, educational, hype.
voice	no	OpenAI TTS voice: onyx (default), alloy, echo, fable, nova, shimmer.
aspectRatio	no	9:16 (default), 16:9, or 1:1.
captionPreset	no	Burned caption style: karaoke (default), hormozi, beast, tiktok, clean.
targetSeconds	no	Approximate length. Default 50. The scene count scales with the final voiceover duration.
imageQuality	no	gpt-image-1 quality: low, medium, high (default). Drives most of your OpenAI cost.
style	no	Art direction for the scene images. Defaults to a cinematic, moody look.
characters	no	Recurring-character description to keep faces and outfits consistent across scenes.
sort / time	no	Reddit sort (top/hot/new/rising) and time window for top.

Output

One dataset item per run with the finished MP4 and the metadata around it. The video and the raw voiceover MP3 are written to the run's key-value store. Key fields: videoUrl and videoKey (the MP4), title, hook and altHooks (extra hook options to A/B), script, voice, scenes, aspectRatio, durationSeconds, and source (where the story came from).

Example

{
  "subreddit": "tifu",
  "tone": "dramatic",
  "voice": "onyx",
  "captionPreset": "hormozi",
  "aspectRatio": "9:16",
  "targetSeconds": 50,
  "openaiApiKey": "sk-..."
}

Pricing

From 26 August 2026: $0.69 per finished video, plus $0.0000125 each time a run starts. Flat rate — no volume tiers, no plan gates, no subscription.

From that date the charge moves onto the video itself, so only a short that actually finished rendering costs anything:

• a keyless run writes one labelled SAMPLE row previewing the output shape, and is free;
• a run that fails outright (bad subreddit, no usable post, an OpenAI or render error) is free;
• you are charged once, and only once, per delivered .mp4.

Until 25 August 2026 the older terms still apply: $0.39 per dataset row, where the keyless sample row is charged the same $0.39 and only an outright failure is free.

The run-start fee is charged once per gigabyte of run memory, so at this actor's default 4 GB it works out at $0.00005 a run.

OpenAI usage (script, TTS, transcription, images) runs on your own key and is billed to you by OpenAI directly — none of it is resold through this actor, and imageQuality is the main lever on it. That is why $0.69 undercuts the hosted alternatives on the store, which charge around $0.99–$1.00 for a comparable short because they mark up the model inference they run for you.

Notes

Reddit serves the public RSS feed, which works for top posts but not comment threads, so this reads the post body only. imageQuality: high is the main lever on OpenAI cost and run time. If your story or topic is short, the script model pads to roughly targetSeconds, which can read thin; feed it more source text for better results.