10 AI Tools We Actually Use in Video Production
Feb 19, 2026
How We Think About AI Tools
Before the list, one thing matters more than the tool itself:
AI doesn’t make decisions. It multiplies them.
If you don’t know what you’re trying to say, these tools will just help you say nothing faster.
We keep tools that:
Improve realism or control
Reduce turnaround without killing quality
Make versioning and localisation practical
Solve a specific production bottleneck
If it’s fun but unreliable, it doesn’t survive the workflow.
The 10 AI Video Production Tools We Actually Use
1. Nano Banana Pro
Image generation that holds together
What it does:
High-quality image generation, manipulation, background swaps, style transfer, upscaling.
What it’s good for:
Style frames
Storyboards
Character consistency
Product consistency
Transforming existing imagery without collapse
Why we use it:
Images hold up at high resolution
Style transfer feels intentional
You can refine instead of regenerate blindly
Where it breaks:
Still images only. Movement lives elsewhere.
How it shows up in real work:
When a product or character needs to live in multiple worlds, Nano Banana lets us push environments while keeping the hero element stable. That makes client decisions faster and cheaper.
2. Kling
Default for realistic AI video
What it does:
Text-to-video and image-to-video generation.
What it’s good for:
Realistic lighting
Natural motion
Camera language
Why we use it:
Movement doesn’t immediately scream AI
Handles multi-element scenes well
Strong quality-to-speed ratio
Where it breaks:
Lip sync needs supervision. Character consistency requires direction.
How it shows up in real work:
Cutaways, environments, motion moments. We curate hard and only keep clips with weight.
3. Veo3
When lip sync actually matters
What it does:
Video generation with improved speech synchronisation.
What it’s good for:
Talking moments where credibility matters.
Why we use it:
Best lip sync we’ve tested
Handles longer dialogue beats cleanly
Where it breaks:
More expensive and slower. Not worth it unless speech is central.
How it shows up in real work:
Used when a line needs to land cleanly. Shots are still designed to avoid tight close-ups. Direction finishes the last 20%.
4. ElevenLabs
Voice generation that saves versioning
What it does:
AI voice generation across languages and accents.
What it’s good for:
Voiceover
Narration
Localisation
Scratch tracks
Why we use it:
Natural delivery
Fast iteration
Multi-language versions without chaos
Where it breaks:
Repeated use of the same voice becomes noticeable.
How it shows up in real work:
We keep edits moving with AI VO while approvals evolve. Human VO replaces it once scripts lock.
5. Suno
Music without licensing headaches
What it does:
AI-generated music based on mood and duration.
What it’s good for:
Social content
Corporate films
Internal videos
Event content
Why we use it:
Fast
Royalty-free
Easy to generate pacing variations
Where it breaks:
Not for emotionally defining or brand-critical work.
How it shows up in real work:
Functional music beds that support the story without becoming the story.
6. Topaz Labs
Rescue footage you’d otherwise bin
What it does:
Upscaling, denoising, sharpening, stabilisation.
What it’s good for:
Footage that matters emotionally but fails technically.
Why we use it:
Cleans phone footage
Saves older material
Upscales without destroying detail
Where it breaks:
Cannot fix fundamentally broken footage.
How it shows up in real work:
When something must stay in the cut, Topaz stops it from being distracting.
7. HeyGen
Avatars for consistency and speed
What it does:
AI avatar presenters with lip sync and multilingual output.
What it’s good for:
Training
Explainers
Corporate delivery
Why we use it:
Same presenter across languages
Predictable and repeatable
Where it breaks:
Not for emotional storytelling.
How it shows up in real work:
Straightforward delivery where clarity beats charisma.
8. Higgsfield
The switchboard
What it does:
Aggregates multiple video models in one interface.
What it’s good for:
Fast exploration
A/B testing engines
Direction-setting
Why it’s essential:
Most teams waste days jumping between tools. Higgsfield turns that into an afternoon.
Where it breaks:
Not a finishing tool. Taste still required.
How it shows up in real work:
We test widely, kill 90%, lock rules early, then scale production.
9. Claude
Scripts, structure, translation
What it does:
Writing, structuring, organising language.
What it’s good for:
Scripts
Treatments
Captions
Versioning
Why we use it:
Turns vague briefs into structure
Speeds up blank-page phase
Where it breaks:
Left alone, it becomes generic.
How it shows up in real work:
Used to think faster. Always rewritten by humans.
10. Descript
Editing without misery
What it does:
Edit video and audio by editing text.
What it’s good for:
Interviews
Webinars
Podcasts
Dialogue-heavy content
Why we use it:
Fast structural edits
Clean filler removal
Easy cutdowns
Where it breaks:
Not for complex cinematic finishing.
How it shows up in real work:
Find the story fast. Finish properly elsewhere.
How These Tools Actually Work Together
Typical AI-enhanced workflow:
Brief → Claude structures the idea
Look development → Nano Banana + Higgsfield
Video generation → Kling or Veo3
Audio → ElevenLabs + Suno
Cleanup → Topaz
Fast edits → Descript
Final polish → Human hands
AI handles the middle 70%.
The first 15% (direction) and last 15% (finish) remain human.
What We Don’t Use AI For
Final colour grade
Complex sound design
Hero emotional moments
Anything where “almost right” becomes brand risk
The Hard Truth
These tools do not make you better.
They make you faster.
If you use them to produce more mediocre work, you will just get there quicker.
We use AI to remove friction — so we can spend more time deciding what actually matters:
Which option has a pulse?
Which one deserves to exist?
That is still director work.
And it always will be.
Check more blogs
A quick overview of how we work together to make your edit best in class!
