Images, Video and Audio
Generating and editing visual and audio media with AI — what is production-ready today, what still is not, and the licensing question to settle first.
Generative media is the area where capability has moved fastest and where the gap between a demonstration and a usable asset is largest. Images are genuinely production-ready for a wide range of work. Audio is close behind. Video is real but narrower than the showreels suggest, and 3D is a concept tool rather than an asset pipeline. This hub sorts the categories by how ready each actually is, and covers the two things that apply across all of them: how to direct the output rather than reroll for it, and how to settle the rights question before anything reaches a product.
Direct it, do not reroll it
The single habit that separates good results from a folder of near-misses is iterating on something you nearly like rather than generating again from scratch. Each fresh generation is an independent sample — you are buying lottery tickets — while refining a near-miss converges quickly. The same applies across media: start an image from a reference, start a video from an image, start a voice from a script written for the ear. Constraining where the process begins removes most of the uncertainty about where it ends.
What is ready, and what is not
Images are ready for social, blog, concept and much marketing work, with licensing as the main caveat. Voice is ready for narration, audio versions of written pieces and dubbing where timing is forgiving. Video works for B-roll, backgrounds, concept pieces and short social clips, and does not yet work where continuity between shots matters or a character must stay the same person. 3D produces usable background props and previsualisation, not hero assets. Knowing which band you are in prevents most of the disappointment in this category.
Consistency beats novelty
A recognisable treatment across a body of work does more than any individual striking result, and it is also what makes generated media look deliberate rather than assembled. Fix everything you can — the same descriptive language, the same aspect ratio, the same model, the same grade applied across a whole set even where an individual image would look better handled alone. This is the difference between art direction and generation, and it is almost entirely decisions made before you generate anything.
Settle the rights question first
Licence terms vary substantially between services and this is the one part of the workflow that cannot be fixed after publication. Before anything generated goes into a product, a package, a paid advert or a client deliverable, read the terms of the specific service you used. The related obligation is consent: recreating a specific person's voice requires that person's clear permission, every time, with a record of it — and reputable services require proof.
Start from a reference rather than a description, pick the category that is actually ready for what you need, apply one consistent treatment across a set, and read the licence before anything commercial. Those four cover most of the difference between generated media that works and generated media that merely impresses in isolation.
Articles
AI Image Generation for People Who Cannot Draw
Writing prompts that produce what you pictured, choosing between the major model families, iterating instead of rerolling, and the licensing question to settle before you publish.
AI Video Generation: What It Can and Cannot Do Yet
Text-to-video and image-to-video in practice — writing prompts that work, the current limits, and where generated clips fit into real production.
AI Voice: Narration, Dubbing, and Custom Voice Design
Producing natural-sounding narration, dubbing video into other languages, designing a consistent brand voice — and the consent rules around cloning someone's voice.
Podcast Production with AI: Script, Edit, Publish, Promote
Research and outlining, cleaning up audio, show notes, transcripts and clips — an end-to-end production workflow that keeps the human parts human.
Turning Images and Text into 3D Models with AI
How image-to-3D and text-to-3D work in practice, what the output is actually good for, and the cleanup that stands between a generated mesh and a usable asset.
AI Background Remover: Perfect Product Photos in Seconds
Remove backgrounds automatically for clean product shots, profile photos, and marketing assets, without manual masking.
AI Image Upscaler: Enhance Low-Resolution Photos 2x or 4x
Learn how AI image upscaling reconstructs real detail to enlarge photos 2x or 4x without the blur of ordinary resizing.
Step-by-step guides
AI Art Direction & Visual Storytelling
Directing AI image work rather than rolling for it — building a visual concept, holding consistency across a set, and telling a story in sequence.
AI Photography & Photo Editing Mastery
Enhancement, background work, retouching and batch processing with AI — plus where an edit stops being a correction and becomes a claim.
AI Music Creation & Audio Production
Generating music, sound effects and audio beds with AI — writing prompts that produce something usable, and settling the licensing question before you publish.
Scripting and Producing Video and Audio with AI
Research, outlines and scripts for video and podcasts, plus the production work around recording — with the recording itself left to you.