Reddit Story Video Generator

Reddit Story Video
Generator — Hook In,
Vertical Short Out.

Paste a thread and Moosky builds the Short: an AI narrator reads the post, Wan 3.0 renders the scenes with native sound, captions land on every beat, and a finished vertical clip exports — no mic, no editor, no face.

InputA reddit thread, post, or saved screenshot
NarrationCosyVoice AI narrator, re-take any line
EnginesWan 3.0 · Seedance 2.5 · CosyVoice
ExportVertical Short with burned-in captions
Hero demo video
Reddit Story Video Generator
Thread or hook post in, script out
AI narrator, no mic required
9:16 export with captions
Built for creators, storytellers, and teams who want production-ready results in minutes.

Model Options

The engine picks for story time

Every clip starts from the post itself — the engine decides how the scene looks, and the narrator decides how it sounds.

Wan 3.0 for the watchable render

Story time is an audio-visual moment, not a slideshow. Wan 3.0 renders each spoken beat as a moving scene with sound generated in the same pass — footsteps, room tone, a door — so the clip arrives watchable, with a scripted camera move when the beat needs a push-in.

Video and audio in one pass Directed camera moves Strong physics and crowd motion Cheaper than flagship-tier clips
Render with Wan 3.0

Seedance 2.5 for the first-try board

The hook decides whether a story gets watched, so board it twice. Seedance 2.5 cuts expressive drafts in minutes — opening image, character blocking, mood — so you screen two versions of the first three seconds and keep the one that stops the scroll before the full run bills.

Expressive characters and lighting Fast text-to-video drafts Same project, same balance Kill the weak hook early
Draft with Seedance 2.5

CosyVoice for the voiceover

The narrator is the channel. Cast a voice — or clone one — and CosyVoice reads the script in the same cadence every upload: paced to each caption beat, re-taken on a single line without touching the visuals, and reused across your whole story series.

Natural story-time pacing Voice clone for a signature narrator Re-take one line, keep the scenes Shared across every episode
Cast the narrator

Example Outputs

Vertical clips rendered on Moosky

Featured Wan 3.0 outputs — the same native-audio short-form render this page turns threads into.

Why use it on Moosky AI

What a reddit-story channel actually needs per upload

A voice viewers recognize, captions for the silent scroll, vertical scenes, and a re-take that costs one line instead of the whole video.

The post is the script

Paste the thread link, the screenshot, or the raw text. The director turns the hook and the replies into a spoken script you approve before anything renders.

A narrator, not a robot read

CosyVoice carries the story in a consistent cadence — the same voice every upload — and a fluffed line re-takes without rebuilding a single scene.

Built for the muted scroll

Captions arrive timed to the narration, so the story reads on the feed with the sound off — where most of the audience actually watches.

Vertical from the first frame

Scenes are composed for 9:16 Shorts, Reels, and TikTok, not cropped down from a wide cut after the fact.

A format, not a one-off

Lock the narrator, caption style, and scene look once; the same package repeats across your whole story series so the channel reads as a brand.

Ready for a monetized channel

Exports carry no watermark and are usable commercially under Moosky and provider terms — the baseline a faceless story channel needs.

How It Works

From hook post to posted Short, in four steps

1

Drop in the hook post

Paste the thread, screenshot, or your own story text. The director trims it into a spoken script with the hook first — you approve the copy before credits move.

2

Cast the narrator and captions

Pick a CosyVoice voice (or your cloned one), lock caption styling, and every future upload opens with the same channel identity.

3

Scenes render to the voiceover

Each spoken beat becomes a vertical Wan 3.0 scene with native sound, timed to the narration; a beat that drifts re-takes on its own.

4

Export the captioned Short

Pull the finished 9:16 cut — captions burned in, loudness mixed — ready for the Shorts, TikTok, and Reels upload queue.

The 40-thread nightly batch that replaced an editor

Dana runs a three-a-day reddit story channel and was losing every evening to the render queue: screenshot the thread, punch it into a TTS voice, drop the audio over stock gameplay, nudge captions line by line. One Short took ninety minutes, and the narrator voice drifted the week her old TTS plan changed.

The workflow now opens as one chat. A thread goes in — hook first, the update beat kept — and the director drafts the script, CosyVoice reads it in the locked channel voice, and each spoken beat renders as a vertical Wan 3.0 scene with sound in the pass. A wrong read costs one re-take of that line, not the video.

Captions and the loudness mix ship with the export, so a batch of three stories clears in the time one upload used to take. The channel's voice, captions, and pacing stay identical across the whole series — the consistency the format lives on, minus the editing evening.

Credit-based

Simple, honest pricing

A captioned vertical story runs on the scene renders plus the narration pass; drafting the hook on Seedance 2.5 first keeps the cheap experiments cheap. Credits quote per run at 100 per dollar and never expire, and failed renders refund — no editing subscription, no per-video editor fee.

Pay as you goOnly pay when you generate.
No monthly feesNo subscriptions. No commitments.
Credits never expireUse your credits whenever you want.
Commercial useUse outputs for personal or commercial projects.
View credits & pricing

Frequently Asked Questions

What does a reddit story video generator actually make?

A finished vertical Short from a post or thread: the text becomes a spoken script you approve, an AI narrator reads it, each beat renders as a moving scene with sound, and captions are burned in timed to the voice. You get a 9:16 export ready to post — not a screenshot-over-gameplay slideshow, which is the version of this format most tools still ship.

Do I need permission to turn a reddit story into a video?

The video, narration, and visuals are generated work — no clip in the export is lifted from anyone. The post itself is the gray zone: treat borrowed stories as inspiration or read them with meaningful transformation, and favor stories you have rights to use or that the poster has agreed to. That is between you and the community; the tool's side is watermark-free, commercially usable output.

Which voice does the narration use, and can it stay consistent?

CosyVoice reads the script, and the same voice selection carries across every episode — clone your own or a stock voice once and the channel's narrator never drifts again. A single misread line re-takes on its own without touching the scenes, so consistency survives edits.

How is this different from the faceless YouTube or narration pages?

Three adjacent desks. The faceless YouTube page sells the channel view — script-to-upload for wide narrated videos. The AI narration page sells voiceover-first production for documentary-style cuts. This page is the short-form story desk: a thread in, a captioned vertical Short out, paced for the feed rather than the long upload.

Can it handle fake-text and story-time formats too?

The same pipeline carries any read-aloud format — message threads, DM screenshots, story-time scripts all follow the same beat-by-beat scene logic, with the narrator and caption layer doing the heavy lifting. Purpose-built fake-text and split-screen pages join this family as they ship; today the director runs them through the same narration playbook.

How long is one story, and what does the batch cost?

Stories land wherever you cut the script — a two-minute thread or a six-minute saga both export vertical, and per-run credit quotes (100 credits to a dollar, non-expiring, failures refunded) appear on screen before anything renders. Shorter drafts on the cheap engine keep format experiments near a rounding error while the keeper render carries the cost.

Disclosure

Moosky AI is an independent platform provider and reseller of AI model access. Product names, model names, and company names shown on this page belong to their respective owners. Moosky AI is not officially affiliated with, sponsored by, or endorsed by those providers unless expressly stated. Page content, examples, and previews may include AI-assisted and synthetic content.