I will build an automated ai video pipeline for your channel


À propos de ce service
If you publish narrated video on a schedule, the bottleneck is never ideas. It is the
forty minutes of clicking between a finished script and a finished file.
I will build you a pipeline that does it in one command.
WHAT YOU GET
- One command: text cleanup, neural narration, 1080p render, and a vertical short
from the same source
- Runtime measured after every run, so "done" means a file of verified length exists
- Your voice, pacing and visual style configured in
- Full source, documented, yours to keep
MEASURED OUTPUT FROM A REAL RUN
narration 363 seconds, 1080p long form 363 seconds, vertical short 58 seconds,
all from one command on a plain text script.
WHAT I NEED FROM YOU
Your content style, voice and pacing preference, and any intro, outro or font
you want used.
NOT INCLUDED
Stock footage or music licensing, channel growth strategy, frame-by-frame editing.
WHY THIS ONE IS DIFFERENT
Most sellers call it done when a script exits without error. I report the measured
duration of the file produced.
Découvrez EL W.
Zero dependency Python tools for ops and automation
- DeTaïwan
- Membre depuissept. 2026
Langues
Chinois, Anglais
FAQ
Whose voice is used for the narration?
Neural text to speech by default, with a choice of voices and languages. If you would rather use your own recorded voice, the pipeline accepts an audio file instead of generating one.
Do I own the pipeline afterwards?
Yes. You get the full source, documented. There is no subscription and no dependency on me after delivery. You can modify it, run it as often as you like, and take it with you if you change providers.
What do I have to install to run it?
Python and FFmpeg, both free. No paid API subscription is required for the default setup. If you want a specific commercial voice provider instead, that is supported but the provider cost would be yours.
How long does each episode take to produce once it is set up?
Minutes, not hours, and it scales with script length rather than with your time. The measured example in the description, a 363 second episode plus a short, came from one command on a plain text file.

