What Vidu’s Dozens of AI Video Tools Actually Do

Chapter 1

One Login, and a Toolbox Built One Job at a Time

A small marketing team has five browser tabs open: one app for upscaling an old product clip, another for a face-blur effect, a third for background music, and a spreadsheet tracking which subscription does what. Nobody on the team enjoys this, and nobody has time to learn five separate interfaces before Friday's post goes out.

Vidu's answer is not one all-in-one editor. It is dozens of separate tools, each aimed at one repeatable task – turning a photo into a moving clip, rewriting a video by describing the change, swapping a face, scoring a scene with music – all reachable from a single account created with an email, a Google login, or an Apple login.

That structure changes how the site should be approached. Opening the tools page and scrolling for 'the best one' is the wrong move, because there is no single flagship generator competing for that title. The useful question is narrower: what is the actual job today, and which one of these dozens of pages was built for it?

The rest of this book answers that question by grouping the tools around the work they do rather than the words in their names – motion from a still, rewriting by description, faces and characters, sound, channel-ready formats, and a separate automation line most people scanning the tools page never notice is there.

What you can actually do here

Vidu's tools are grouped here by the job they do, not by their marketing names – the first stop is finding your task, not scrolling past dozens of similarly-worded pages.

Turning a still or an old clip into new motion

Rewriting an image or video by describing the change

Putting a face, character or voice into the frame

Sound that is not bolted on afterward

Content already shaped for the channel you are posting to

A system instead of one video (the Claw Skills line)

Chapter 2

The One Sequence Every Tool On This Site Repeats

Before looking at any individual tool, it is worth noticing the pattern almost every one of them shares, because learning it once means never re-learning it on the next page. Upload a source – a photo, a clip, or nothing at all if starting from text. Describe the change in a prompt. Generate a draft. Review it before deciding what happens next.

The AI Image Editor states it plainly: upload an image, describe what should change, and generate a new draft. The AI Video Editor uses the same phrasing for footage instead of stills. Object Remover, background relighting, and the motion-graphics tool all follow the identical shape – source in, instruction in, draft out, judgment left to the person reviewing it.

Most of the video-generation pages also default to a short output – a few seconds, widescreen, standard HD – built for testing an idea rather than delivering a finished file. That default is worth knowing going in: the first result from any of these tools is a draft to judge, not a master to publish straight from the tool.

Because this sequence repeats everywhere, the chapters that follow will not re-explain 'upload, describe, generate, review' for every tool. What they will cover is what makes each tool's version of that sequence worth reaching for over the others.

Chapter 3

Turning a Single Photo or an Old Clip Into New Motion

A travel agency has a folder of still product photos and a deadline for a video ad. Reshooting is not an option this week. This is the exact gap the image-to-video and video-to-video tools are built to close: motion added to an asset that was never going to move on its own.

The image-to-video tool keeps the original subject in view while adding camera movement or scene motion around it – a photo that starts to feel like the opening seconds of a clip rather than a still. Video-to-video works the other direction: starting from footage that already exists and changing its style or motion while keeping the core action recognisable, useful for testing a different mood on a scene without reshooting it.

Two supporting tools sit alongside these. The video upscaler takes an older or compressed clip and produces a clearer version – the kind of decision point where someone has to judge whether footage is worth reusing at all before spending more time on it. The video smoother reduces stutter through frame interpolation, which matters more than it sounds for footage that will play on a phone screen where every jump is obvious.

📰 Recommended for You

How Canva Turns an Indian Occasion Into a Printed Invitation

Read More →

What Every Pixlr Plan Actually Buys You

Read More →

One more tool in this group is easy to miss because it does not generate anything: the video-frames tool extracts a clip into its individual frames for a continuity check. It is a review tool sitting among a page full of generation tools, and it is the one to reach for right before a final export rather than during the creative pass.

Chapter 4

Rewriting a Video or Photo by Describing the Change

Traditional editing means opening a timeline, finding the right frame, masking an object by hand, and rebuilding whatever sits behind it. Vidu's editing tools replace that first step with a sentence: describe the change, and a new draft comes back for review instead of a blank canvas waiting for manual work.

The photo and video editors handle the broad case – swap a background, change a prop, adjust a style – from one written instruction. Object Remover and the text-remover tool handle the narrower, more common case: something in the frame that simply should not be there, whether it is a stray passer-by in a product shot or a caption baked into an image from somewhere else.

Dynamic lighting and visual effects both work on mood rather than content – relighting a scene, shifting it toward a different feeling, without a reshoot. Motion graphics covers the smaller but constant need for animated titles and on-screen text, the kind of detail that used to require a separate design tool entirely.

None of these tools skip the review step, and none should be treated as a one-shot fix. A prompt-based edit is a draft the same way every other tool on this site produces a draft – worth a second look before it goes anywhere near a publish button.

Chapter 5

Putting a Face, a Character or a Voice Into the Frame

This is the group of tools that changes identity rather than appearance, and it is the one place on the site where the review step matters more than anywhere else. Face Swap replaces a face in a photo or video from a source image – genuinely useful for testing a concept, and genuinely something that needs a second look before it is shared, because the site itself frames it as a workflow to check for consent, context, and usage rights rather than a simple style filter.

The character tools sit next to it for a different reason. Fantasy Character Generator and the Action Figure Generator both turn a description into a visual concept – useful for pitching a design before committing to it. The 3D Character Creator is worth reading closely before assuming it does more than it does: the site states directly that it is built for turning a character into an animated video clip, not for exporting a 3D mesh or rig. Anyone expecting a game-ready asset from this tool will be disappointed by a limit that was stated plainly, not hidden.

Talking Head AI, also referred to on the site by the third-party name Hedra AI, builds a lip-synced speaking video from a photo and an audio track – a real option for an explainer or a creator intro without filming a presenter. The input requirement is worth planning around: this tool needs an actual voice recording, not just a script, so the quality of that recording carries directly into the finished clip.

The anime generator and anime story generator round out this group, aimed at keeping one character's look consistent across a sequence of shots rather than regenerating a slightly different face every time – the kind of consistency that turns a set of separate images into something that reads as one story.

Chapter 6

Sound Is Not Bolted On Afterward

A tutorial that looks finished visually can still feel unfinished with the wrong audio underneath it – too quiet, too flat, or simply silent where a viewer expects something. Vidu's two audio tools exist to solve that before it becomes a last-minute scramble.

The background music generator produces a track matched to a scene's pace, useful for testing whether a piece should feel calm or urgent before locking in a final cut. The sound effects tool works at a smaller scale – specific cues like whooshes, impacts, ambience, footsteps, or a simple product click, the details that make a scene feel complete rather than merely finished.

Neither tool needs to be treated as an afterthought bolted onto a finished video. Testing music or effects earlier, against a rough draft from one of the video tools in the previous chapters, is a faster way to judge whether a concept works than waiting until picture lock to find out the pacing feels wrong.

Chapter 7

Content Already Shaped for the Channel You Are Posting To

A generic video and a video built for one specific platform are not the same deliverable, and several of Vidu's tools exist specifically to skip the extra step of reformatting after the fact.

The 9:16 and vertical video tools default to a mobile-first frame from the start, keeping the main subject inside the safe area a phone screen actually shows. The Facebook Ad Video Maker and the AI UGC Ads tool both produce short promotional drafts meant for comparing hooks and angles before a team commits to full production – and the UGC ads page states this directly: the output is a draft for review, not a promise that an ad will perform or be approved by any platform. That is a useful sentence to hold onto before treating any AI-generated ad draft as a finished, guaranteed asset.

Product Photos and the Product Video Maker take a product image and a scene direction and return visuals aimed at a listing or a campaign – a faster way to compare backgrounds and lighting options than staging multiple physical shoots. Across all of these, the shared idea is the same: the tool is built around the destination, not just the content, so less has to be redone once the draft leaves Vidu.

Chapter 8

The Claw Skills Line: When One Video Isn't the Goal, a System Is

Everything covered so far answers a version of the same question: how do I make this one video or image. A separate group of tools on the site answers a different question entirely – how do I make videos like this every week without starting from zero each time – and it sits under a distinct name, Vidu Claw Skills, rather than inside the main tools grid most people scan first.

Script to Video Skills turns a script into what the site describes as a repeatable, production-ready pipeline rather than a single output. Social Video Automation Skills is built around a run of videos instead of one at a time. AI Avatar Video Skills generates talking avatar content at scale without filming anyone, and Faceless Video Workflow Skills is framed explicitly as building a system that grows with a channel's output, not just producing a single clip.

This distinction matters because someone who only needs one wedding invitation video or one product ad has no reason to look at this group at all – but a channel operator publishing several videos a week is solving a different problem, and the single-generation tools in the earlier chapters were never built to solve it. The Claw Skills line is the part of the site that answers that second problem, and it is easy to miss precisely because it is named differently from everything else.

Chapter 9

Choosing Vidu Over the Named Alternatives – and What to Check Before You Publish

Vidu maintains a handful of pages that name specific competitors directly – a Kling AI alternative page, a Runway Gen-4 alternative page, a PixVerse alternative page, and a page built around the third-party name Higgsfield AI. Each one frames itself as a comparison point for a team already testing image-to-video generation elsewhere and deciding whether to run the same test on Vidu. If a workflow already exists on one of those platforms, these are the pages worth opening first, since they are the only ones on the site written specifically for a side-by-side decision rather than a first introduction.

A few things are worth checking before treating any output from this site as finished. If your goal is a quick test of a concept – a motion idea, a character look, an ad hook – nearly every tool covered in this book is built for exactly that, and the draft-then-review pattern is the right way to use it. If your goal is a face swap or a synthetic presenter meant for public use, the consent, usage-rights, and disclosure points raised in earlier chapters are not optional reading; they are the difference between a usable draft and a problem later.

Two things were simply not part of what was captured here and are worth checking directly on the site: current pricing and plan limits, and any step-by-step tutorials beyond the short help center FAQ, which currently confirms account sign-in through email, Google, or Apple, and notes that changing a registered email address is not yet supported. For both pricing and any newer tutorials, the site's own pages are the accurate source, since neither is the kind of detail worth guessing at in a book meant to last.

What this toolbox is ultimately for is speed on the first draft – a photo becoming a clip, a script becoming a pipeline, a silent scene getting its first pass of sound – and knowing which of its dozens of pages to open first is most of the work of using it well.

Questions readers actually ask

Contact / More useful information from RamthaMedia

Official source links:
Vidu