Need help figuring out how to make AI videos from scratch

General
1

I keep seeing amazing AI-generated videos online, but every guide I find is either outdated, super technical, or tied to expensive tools. I’m totally lost on where to start, what software or websites to use, and how to go from script or idea to a finished AI video. Can anyone explain the current best methods, tools, and basic workflow for creating AI videos, preferably with some affordable or free options?

2

Short version first, then details.

If you want AI videos from scratch without wasting money or time, think of it in 4 steps:

  1. Script
  2. Images or video clips
  3. Motion
  4. Edit and audio

Here is a simple stack that works right now and is not insane to learn.

  1. Write your script
    – Use ChatGPT, Claude, or similar to draft a script from your idea.
    – Tell it the length you want, like “60 second YouTube Short about X”.
    – Ask it to output:
    • Voiceover text
    • Scene-by-scene description (Shot 1, Shot 2, etc).
    That scene list will drive everything else.

  2. Generate images or clips
    Low or no cost routes:

A) Images
– Leonardo.ai, BlueWillow, Mage, or PlaygroundAI for free or freemium image gen.
– Use your scene list. For each scene, prompt something like:
“Cinematic, 16:9, wide shot of [description], detailed, realistic”
– Keep aspect ratio consistent, like 16:9 for YouTube or 9:16 for TikTok.

B) Short clips
Cheaper than full video tools, but limited:
– Pika.art or Runway (Gen-2) for short AI video clips from text.
– Use them only for hero shots, not every single scene. Cost adds up if you try to do all with them.

Start with stills plus motion effects instead. Much easier and cheaper.

  1. Add motion to still images
    This is where things start to look like “AI video” instead of slideshow.

Free or low cost tools to try:

– CapCut (desktop or mobile)
• Import your images
• Use keyframes to slowly zoom or pan (Ken Burns style)
• Add transitions
• Add text on screen

– DaVinci Resolve (free, more advanced)
• Same idea, more control
• Use “Dynamic Zoom” or keyframes on Position and Zoom

Optional extras if you want more AI-style motion:
– Move.ai, D-ID, HeyGen, or Pika’s image-to-video for talking heads or motion from one still, but those get pricey fast.

Start with simple moves on stills. Most people scroll fast, they will not inspect each frame.

  1. Voiceover and audio
    Voice:

Free or cheap options:
– ElevenLabs free tier for more natural AI voiceovers.
– TTS tools inside CapCut or Canva.
– If your voice is ok, record in your phone voice memo app. Throw a light noise reduction on it in your editor.

Music and sound fx:
– YouTube Audio Library, Pixabay, or FreePD for free tracks.
– Drop 1 music track under your whole timeline.
– Add a few key sound effects for actions or scene changes, do not overdo.

  1. Editing workflow step by step
    Here is a simple workflow:
  1. Write script and scene list with AI.
  2. Generate 6 to 12 images for a 60 second video.
  3. Import into CapCut or Resolve.
  4. Place images in order on the timeline.
  5. Set each clip length to match your voiceover segments.
  6. Add zoom/pan motion to each image.
  7. Record or import voiceover and sync it.
  8. Add subtitles inside CapCut or with a web tool like Veed or Kapwing if you want auto captions.
  9. Add music and tweak volume so voice is clear.
  10. Export in 1080p, h.264.
  1. If you want full “one click” AI video tools
    These cost more, but they remove a lot of manual work:

– Pictory, InVideo, Fliki, HeyGen, Synthesia, Descript.
You paste script or URL, pick a style, they auto-generate a video with stock clips and AI voice.
Good for faceless channels, tutorials, explainers.
Downside, output looks generic if you rely only on presets.

  1. Rough cost ranges
    Free or low-cost route:
    – Image tools with free credits.
    – CapCut free.
    – Free audio libraries.
    – Total spend: 0 to maybe a few dollars in time-limited credits.

Heavier AI route with Gen-2, Pika, ElevenLabs, HeyGen, etc:
– Expect 10 to 50 bucks a month for serious use, depending on how many videos you push.

  1. Minimal starter setup I would tell you to try today
    If you want one simple combo:

– Script: ChatGPT free or Claude.
– Images: Leonardo.ai or PlaygroundAI.
– Editing and motion: CapCut desktop.
– Voiceover: CapCut AI voice or your own.
– Music: YouTube Audio Library.

Make one 30 to 45 second video first.
Do not chase all-in-one magic tools at the start, your bottleneck will be story and pacing, not tech.

Once you get 3 or 4 videos done with this pipeline, then move to:
– Runway or Pika for a few key AI clips.
– Better paid TTS like ElevenLabs.
– Maybe a paid stock or AI video tool if you need speed.

3

Short version: stop chasing “perfect AI video tools” and start by deciding what type of AI video you actually want, because the stack changes a lot depending on that.

You’ve basically got 3 main styles most people are drooling over:

  1. AI “aesthetic montage” videos
    • Music-driven, fast cuts, cool visuals, very little talking
    • Best for TikTok/Reels/shorts

  2. AI explainer / faceless channel
    • Script + voiceover + visuals + captions
    • Best for YouTube/TikTok education / commentary

  3. AI character / story vids
    • Consistent characters, scenes, a vibe across the whole video

@cacadordeestrelas gave a solid 4-step breakdown, but I’d slightly disagree on one angle: you actually don’t have to start with fully written scripts if that overwhelms you. For short content, it’s often easier to start with vibe first, structure later.

Here’s an alternate starting route that avoids overengineering:

1. Pick the style + length first

Decide:

  • Platform: YouTube Short, TikTok or full YouTube
  • Length: 20s, 30s, 60s, 3 min

Example: “I want a 30 second vertical TikTok about ‘why people quit the gym’ using moody AI visuals.”

This choice solves half your tech questions:

  • Vertical = 9:16
  • Short = 6 to 10 shots max
  • Needs fast pace, strong hook first 2 seconds

No tool will fix a boring idea, so lock this in before touching any software.

2. Use AI to outline, not to fully script (at first)

Instead of “write me a perfect script,” try:

“Give me a 30s TikTok outline with:
• 1 line hook
• 3 quick points
• 1 punchy closing line”

You end up with:

  • Hook
  • Bullet 1
  • Bullet 2
  • Bullet 3
  • Close

That’s enough to start a video. You can fill exact wording later when you hear the timing with music.

This is where I differ from the full scene-by-scene method: you can actually over-specify and get stuck. For shorts, loose outline > rigid storyboard.

3. Use one visual tool at a time

Instead of juggling 5 sites, just pick one visual base for your first few videos.

Some combos that work & aren’t overkill:

If you like artsy / stylized stuff:

  • Use something like Leonardo / Playground / Stable Diffusion web UIs
  • Generate a set of related images with a similar style prompt
  • Reuse the same style line every time:
    “gritty cinematic, high contrast, 9:16, dark teal & orange color grade, ultra detailed”

The trick people miss:
Stop chasing “perfect prompt,” chase consistency across all your images.

If you prefer motion over stills:

  • Use Pika / Runway / Luma only for 1 to 3 “hero” clips
  • The rest can literally be slower panning stills in an editor
    Trying to AI-generate every single shot is how you burn time and credits.

4. Try one-tool workflows before heavy editing

This is where I disagree a bit with the “CapCut + Resolve from the start” approach. If you feel lost, learning a full editor + multiple AI sites at the same time is exactly how people quit.

Instead, try 1-tool-first workflows where possible:

  • Canva
    • Has templates, simple timeline, text, basic animations
    • You can drag your AI images in and animate easily
    • Good for beginners who hate proper editors

  • CapCut mobile
    • Faster to learn than desktop for most people
    • Start with: import images → auto captions → music → export
    • Then later add keyframes and more advanced stuff

Once you’ve made like 5 ugly but complete videos, then move to CapCut desktop or DaVinci for more control.

5. Voice vs text-only: decide early

Lot of people waste time on AI voices when text-only plus music would’ve worked fine.

You have 3 basic options:

  1. Text on screen only
    • Super easy, no TTS, no mic
    • Great for motivational, meme, short fact videos
    • Just sync text to the beat

  2. AI voiceover
    • Good when your content is explanatory
    • Free tiers in ElevenLabs, PlayHT, CapCut, etc
    • Important: write short, punchy sentences or the TTS will sound robotic

  3. Your own voice
    • Easiest to start: phone mic + quiet room + blanket over your head
    • Clean it a bit with any built-in noise reduction in editor

If you’re frozen, start with text-only videos. Less moving parts, and you still learn timing, pacing, visuals.

6. Super simple starter pipeline (different from @cacadordeestrelas)

Try this 30–60 minute workflow:

  1. Decide: 30s vertical TikTok, text-only, chill music, AI images.
  2. Ask AI: “Give me 6 short on-screen text lines about [topic], each under 8 words, in a hook → info → punchline format.”
  3. Generate 6 matching images with the same style prompt and 9:16 ratio.
  4. Open CapCut mobile or Canva:
    • Drop all 6 images on the timeline
    • Drop 1 audio track under everything
    • Add your 6 text lines, one per image
    • Adjust timing so each line is readable but not sluggish
  5. Export and post.

That is a complete AI-ish video with minimal mental load. From there, you start layering:

  • Add zooms and pans
  • Add AI voice and captions
  • Add 1 or 2 motion clips from Pika/Runway

7. Where most beginners waste time

Stuff to not obsess over early:

  • Perfect prompts
  • Ultra realistic hands/faces
  • 4K output instead of 1080p
  • Finding the “one tool to do it all”

Focus on:

  • Hook in first 2 seconds
  • Cohesive style (same color vibe, same aspect ratio)
  • Clear text / audio
  • Finishing the video, even if it looks mid

The people making “amazing AI videos” you see online have probably made dozens of trash versions you’ll never see. Your first 5 will probably suck. That’s fine. The jump from 0 to 5 is way bigger than from 50 to 55.

If you say what specifically you’re trying to make first
(example: “30s gym motivation TikToks” or “2 min faceless explainer for YouTube”), I can literally give you a 1–2 tool setup tailored to that and cut the fluff.

4

Skip the tool-chasing for a second and think in systems. @shizuka and @cacadordeestrelas both nailed solid pipelines, but they still lean pretty hard on “generate → edit on timeline.” That works, but there’s a lazier, more scalable approach if you want to crank out a lot of AI videos.

Think in templates, not individual edits.

1. Build 1 reusable “video skeleton”

Instead of hand-building each video from scratch:

  • Pick one editor with templates: CapCut desktop, Canva, VN, or even Premiere with a preset sequence.
  • Create a base project with:
    • Intro shot slot
    • 4 to 8 “content” shot slots
    • Outro slot
    • One music track already on the timeline
    • Default font, colors, text placement
    • Basic zoom-in / zoom-out motion already applied

Save that as your “Short Vertical Template” or “Explainer Horizontal Template.”

Then every new video is just:

  • Swap images/clips
  • Swap text & audio
  • Adjust timing a bit

You go from 1–2 hours down to 20–30 minutes once this is dialed in.

Where I slightly disagree with both: they treat every video like a new build. Templates make it feel like filling in a form.

2. Batch the AI part

Most beginners open an AI tool, make one image, jump to the editor, then back, etc. That kills flow.

Try this pattern:

  1. Write 5 hooks about your topic with ChatGPT / Claude.
  2. Pick the best 2, and quickly outline 4–6 beats for each one.
  3. Generate all images for both videos in one sitting using the same style prompt and aspect ratio.
  4. Drop everything in a folder like:
    • 01_hook
    • 02_point1
    • 03_point2
    • etc.

Now you have assets for multiple videos ready before you ever open the editor. It feels a lot less chaotic.

3. Use “cheap motion” tricks instead of heavy AI video

You do not need Pika or Runway on every shot. In fact most good AI edits you see are 80 percent basic motion, 20 percent fancy AI clip.

Stack these cheap tactics:

  • Slow zoom on stills
  • Slight rotation (1–2 degrees) over time
  • Animated overlays like particles, light leaks, film grain (tons of free packs exist)
  • Duplicate the same image, mirror-flip it and cut fast between versions to fake movement

This stuff costs nothing, is easy in almost any editor, and covers the gaps when you do not want to burn credits on full AI video.

AI clips should be:

  • Big “wow” shots only
  • Short
  • Reused across multiple vids when possible

4. Decide your content engine, not just tools

Two main “engines” for AI video that scale:

  1. Evergreen explainer engine

    • Topic bank: “sleep tips,” “finance myths,” “history facts,” etc
    • Same template, same voice, same style of images
    • You only swap the text & visuals

  2. Trend reaction engine

    • You react to news, memes, tweets, Reddit posts
    • Same layout and voice every time
    • Faster production, less generative art required

Pick one engine first. That choice determines how much AI imagery you actually need. A trend channel can literally be 90 percent screenshots, crops, and text, with a few AI visuals as flavor.

5. About all‑in‑one “AI video from text” tools

There are a bunch of tools that promise “paste a script and get a full video.” They are convenient but usually generic looking.

Pros:

  • Fast for tutorials, corporate explainers, faceless channels
  • No need to touch proper editors at the start
  • Built-in stock footage and TTS

Cons:

  • Everyone’s videos start to look the same
  • Limited control over pacing and style
  • Monthly cost adds up if you post often

They are fine as a stepping stone, but if you care about standing out, treat them as draft machines, then polish in a real editor.

6. Pros & cons of this “template / batch / cheap motion” approach

Pros

  • Much faster once the first template is done
  • Easy to maintain a recognizable visual brand
  • You can scale to 3–7 videos per week without burnout
  • Uses mostly free or freemium tools
  • Lets you upgrade pieces gradually (better voice, better AI clips) without rebuilding everything

Cons

  • First template setup takes some thinking
  • Can feel repetitive if you never tweak your style
  • Not ideal if every video must look radically different or super experimental
  • You still need to learn the basics of one video editor

@shizuka leans more into “vibe first, structure later” which is great if scripting scares you.
@cacadordeestrelas gives that clear 4‑step structure which is solid for people who like checklists.

If you mix their ideas with a reusable template mindset, you get something that feels a lot less overwhelming and way more repeatable. The real “AI video hack” is not a website. It is getting one workflow you can run 20 times without wanting to quit.