AI video tools
AI video generation moved from research curiosity to production-usable tool faster than almost anyone expected. You can now generate seconds to minutes of photorealistic or stylised video from a text prompt, extend existing footage, animate still images, and apply cinematic effects — entirely without a camera. This chapter covers the four tools that matter most for YouTube creators right now, what each one is actually good at, and how to integrate them without letting AI become a crutch that makes your content generic.
The Four Tools That Matter for YouTube Creators
Head-to-Head Capability Comparison
| Feature | Sora | Runway Gen-3 | Pika | Kling |
|---|---|---|---|---|
| Max clip length | 20s | 10s | 10s | 3 min |
| Max resolution | 1080p | 1080p | 720p–1080p | 1080p |
| Photorealism | Excellent | Excellent | Good (stylised) | Excellent |
| Human/hand accuracy | Moderate | Moderate | Weak | Strong |
| Stylised / anime output | Moderate | Moderate | Excellent | Good |
| Image-to-video | ✓ | ✓ | ✓ | ✓ |
| Video-to-video effects | ✗ | ✓ | Limited | Limited |
| Motion brush (selective) | ✗ | ✓ | ✗ | ✗ |
| Face animation (act-one) | ✗ | ✓ | ✗ | ✗ |
| Free tier | ✗ | Trial only | ✓ | ✓ |
| Entry paid price | ~£18/mo | ~£12/mo | ~£8/mo | ~£8/mo |
| API access | TBA | ✓ | TBA | Limited |
How to Actually Use These in a YouTube Video
The real question isn't which tool is technically best — it's what role AI-generated footage plays in your videos. Almost no successful creator uses AI video as the main footage. The value is in specific roles within a human-led production.
Writing Prompts That Get Usable Results
AI video generation is extremely sensitive to prompt structure. Vague prompts produce generic, unusable clips. Structured prompts with specific cinematographic language produce clips that actually cut into a real video.
Useful cinematographic terms to include in prompts
- Shot movement: slow push-in, dolly back, crane shot, static locked-off, aerial descending, handheld follow
- Lens character: anamorphic lens flare, shallow depth of field, 35mm film grain, tilt-shift, fisheye
- Lighting: golden hour, overcast diffused, neon-lit, candlelit, harsh midday sun, blue-hour, studio three-point
- Colour: desaturated, high-contrast, warm tones, teal and orange grade, monochrome, vibrant saturated
- Atmosphere: cinematic, documentary style, dreamlike, gritty, ethereal, hyper-real
Current Limitations — Know Before You Rely On It
- Text in scene. Every current model struggles with readable text inside generated video. Logos, signs, and captions will be garbled. Add text in your NLE after generation, not via prompt.
- Hands and fingers. Still a weak point across the board, though Kling has the strongest performance. Close-ups of hands are a lottery — use medium shots or wider framing.
- Consistent characters across clips. If you generate multiple clips featuring the same character, they won't look identical unless the platform has character consistency features (Runway has limited support). For multi-clip storylines, generate a reference image first and use image-to-video for all subsequent clips.
- Physics for complex interactions. Liquid pouring, cloth simulation, and crowd scenes are improving but still produce artefacts on close inspection. Wide shots forgive more than close-ups.
- Duration. Most tools cap at 5–20 seconds per generation (Kling's 3-minute capability is exceptional). Long sequences require multiple generations, which must be cut together — not always seamless.
- Cost at scale. Credit limits are fine for B-roll. If you plan to use AI video heavily, map out your monthly generation needs against plan costs before committing — it adds up faster than expected.
Recommended Starter Workflow
- Identify your B-roll gaps first. Edit your main footage and note everywhere you need coverage you don't have — then generate specifically for those gaps. Don't generate speculatively and try to find a use for it afterwards.
- Start with Kling or Pika free tiers. Both let you generate without a credit card. Get comfortable with prompt-writing before spending anything.
- Use image-to-video for more control. Generate a still image with Midjourney or ideogram first to nail the look, then animate it. This gives you far more control over the visual result than pure text-to-video.
- Generate 3–5 variations of each clip. AI generation is non-deterministic — the same prompt produces different results each time. Always run multiple generations and pick the best one.
- Keep clips short and cut frequently. AI artefacts are less visible in 2–4 second cuts than in 8–10 second holds. Faster editing rhythm also keeps AI footage from drawing too much attention to itself.
- Grade to match your existing footage. AI video has its own default look. Apply the same LUT or grade you use on your camera footage so AI B-roll doesn't feel visually disconnected from the rest of the video.
Chapter 8 Quick Reference
- Sora: Best realism, 20s max, requires ChatGPT Plus/Pro (~£18–£180/mo) — no free tier
- Runway Gen-3: Most complete toolkit (motion brush, act-one, lip sync, BG removal) — from ~£12/mo
- Pika: Best for stylised/anime, Pikaffects (explode/melt), fastest to start — free tier available
- Kling: Best photorealism per pound, up to 3-min clips, strong on hands — free tier + ~£8/mo
- Best starter combo: Kling (realism) + Pika (style) on free tiers
- Add Runway if you need: motion brush, face animation (act-one), or API access
- Prompt structure: [shot movement] + [subject + action] + [location] + [lighting] + [lens/grade] + [exclude]
- Avoid in prompts: readable text in scene, extreme close-ups of hands, long unbroken takes
- For character consistency: generate still image first, then image-to-video for all clips
- Grade AI footage to match your camera LUT — raw AI video has a distinctive default look
- Disclosure rule: Label AI B-roll if it depicts real events/people; creative B-roll is fine without it