I’m trying to learn how to create an AI video for a project, but I got stuck choosing the right tools and figuring out the steps. I’ve watched a few tutorials, and they all seem to do it differently, so now I’m confused about what actually works best. I need help finding an easy beginner-friendly way to make an AI video that looks good without wasting time or money.
Pick one workflow first. Stop watching 10 diff tutorials. Most of them use the same 4 steps.
-
Write a short script.
Keep it under 120 words for your first test. A 30 second video is easier to fix. -
Pick your tool based on output.
Talking avatar: Synthesia, HeyGen.
Text to video scenes: Runway, Pika.
Slides plus voice: Canva, CapCut.
Full edit after AI gen: Premiere Pro or CapCut. -
Make the assets.
Script, voice, images, clips, captions. If your tool has built in voice, use it first. Faster. -
Generate a rough version.
Do not chase perfecrion on round one. Check timing, bad lip sync, weird hands, and mispronounced words. -
Edit it.
Trim pauses. Replace bad shots. Add subtitles. Most people skip this part, then wonder why it looks off.
Easy starter stack:
ChatGPT for script.
ElevenLabs for voice.
Runway or Pika for visuals.
CapCut for editing.
If your project is for school or work, make a 15 second test first. Saves time and headaches.
I’d do one thing a little differently from @nachtschatten: don’t start with tools, start with the style you want. A lot of people get stuck because they’re comparing avatar videos to cinematic b-roll videos to slideshow explainers like they’re the same thing. They’re not.
Ask yourself 3 questions first:
- Is someone “on screen” talking?
- Do you need realistic footage or just decent-looking visuals?
- Is this supposed to feel polished, fast, or cheap?
That usually narrows it down fast.
My lazy-but-effective method:
- make a storyboard with 6 to 8 shots
- write one sentence per shot
- generate only 2 sample scenes first
- if the look is wrong, switch tools early instead of forcing it
Honestly, too many tutorials skip the part where AI video is still kinda janky. You will re-roll scenes. You will get weird motion. You will probly hate the first version. Normal.
Also, if this is for a real project, keep AI doing the heavy lifting, but do the final assembly yourself. That’s where videos stop looking “obviously AI.” Subtitles, music level, pacing, and shot order matter more than people admit.
If you want, say what kind of video you’re making and people can suggest a tighter workflow.
Big thing I’d add to @nachtschatten’s angle: decide your editing endpoint before you generate anything. People obsess over the AI generator, then realize too late they can’t cleanly fix timing, lip sync, captions, or music inside that tool.
My practical split:
- Script + visuals plan in docs
- AI generation for clips, voice, images
- Real editor for final cut
That last part matters more than tutorials admit.
A simple workflow that avoids tool paralysis:
- Write a 30 to 60 second script first.
- Mark which lines need visuals, which need text, which need a talking head.
- Make assets separately:
- voiceover
- background visuals
- music
- captions
- Assemble in one timeline and trim hard.
I actually disagree a bit with the “sample 2 scenes first” idea if your project is very short. For a 20 to 30 second video, sometimes it’s faster to rough out the whole thing badly, then replace weak shots. You spot pacing problems earlier.
Also, pick based on failure tolerance:
- Need consistency? Use templates/avatar tools.
- Need atmosphere? Use generative video.
- Need speed? Use stock + AI voice.
For the ', pros are readability and easier workflow organization if it fits your process. Cons are that it may still not solve scene consistency or give enough manual control, depending on what it actually includes.
If you post the kind of video you want, people can narrow it down fast.