AI image and video

What this shelf covers

Tools that build a picture or a clip from a prompt, tools that edit material you already have, and tools that clean up or enlarge an existing file. Most products now do at least two of the three, which makes their landing pages look interchangeable and their results anything but.

Generation and editing pull in opposite directions. A model tuned to invent a scene from nothing is rarely the one you want when the brief reads “same photo, new background, do not touch the product”.

Anything built mainly for cutting and captioning footage sits in video and screen recording. Anything built mainly to write belongs in AI writing.

Where these products actually differ

Output quality is the least useful thing to compare from a landing page, because every vendor shows its best five images.

Control separates them. Look for what exists beyond the prompt box: reference images, a mask so you can edit one region, pose or depth guidance, negative prompts, and a seed you can reuse to get the same result twice. A tool that cannot repeat itself is a toy, whatever the gallery looks like.

Consistency across a set is the next question. Marketing needs the same face or the same bottle across ten frames. Some products solve that with a small trained style, some with reference conditioning, some leave you rerolling until luck arrives.

Video narrows the questions further: clip length, resolution, frame rate, whether motion can follow a reference, and whether a clip can be extended rather than generated again from scratch.

Rights, and who owns what comes out

This is where teams get burned, and checking takes ten minutes.

Read three lines in the terms. Who owns the generated file. Whether commercial use is granted on the plan you are buying rather than the one above it. Whether your uploads and prompts feed the vendor’s next training run.

Several vendors hand you ownership on paid plans while keeping a licence to display your work as a public sample. Harmless for a side project, awkward for a product nobody has announced yet.

Indemnity is the enterprise version of the same question. A few vendors promise to defend you if a generated image draws an infringement claim. Most say nothing, which puts the risk on your side of the table.

Likeness and trademark limits apply almost everywhere too. Generating a recognisable person or a competitor’s logo breaks the terms even when the model happily produces it.

Credits, seats and the cost of a finished asset

Pricing here is metered rather than per seat, and the meter is a credit.

• One credit is rarely one usable image. Resolution, model tier and upscaling all multiply it.
• Video spends credits by the second, often ten to fifty times the rate of a still.
• Generations you reject usually still cost the same as the ones you keep.
• Credits expire monthly on most plans, so a quiet month buys nothing for the busy one.
• Faster queues, private generation and commercial rights sometimes sit on separate tiers.

Work out your real monthly volume first, then divide each plan price by the number of finished assets you expect rather than by the credits it grants. Two products advertising the same monthly figure can differ threefold on that number. The rest of the arithmetic is covered in what pricing pages hide.

What to test before committing

Bring your own brief to the trial. Vendor galleries are curated, and the distance between a showcase render and your product on a white background is where the month disappears.

Run one prompt three times. If the results wander, the tool cannot hold a campaign together.

Then give it the boring jobs. Replace a background without leaving a halo. Extend an image sideways. Remove a single object. Upscale a photo that is genuinely poor rather than a downsized sample. Those four make up most of the daily work, and the spectacular demo makes up almost none of it.

Check the export path last. Resolution caps, watermarks on lower tiers, and formats your editor refuses to open are all common, and all cheaper to discover before the annual invoice.

Fitting generated material into real work

The teams getting steady value from this category use it for a narrow set of jobs rather than for everything visual.

Concept and exploration, where twenty directions cost minutes and a photographer costs a day. Backgrounds, textures and supporting material that nobody will look at closely. Variations of an asset that already exists. Repair work on images you own, from removing an object to enlarging something shot badly.

Hero imagery and anything where a specific product must be depicted accurately remain difficult, and the effort spent forcing it usually exceeds the cost of doing it properly.

Keep the prompts, seeds and settings that produced good results. Reproducibility is what turns occasional luck into a process, and it is the habit most people skip.