Video Creation and Editing API

Most video APIs pick a side. Some only generate a clip from a prompt, and some only transform footage you already have, so a real pipeline means gluing several vendors together: one call to create, another to upscale, a third to swap a background, each with its own auth, error format, and bill. The seams are where projects break.

Wireflow closes the seam by putting creation and editing on the same canvas. This page is built around a live workflow that does exactly that: a Product Brief feeds a Base Frame node that renders a still, Seedance 2.0 animates that frame into a clip, and Topaz Upscale Video enhances it. Wiring those nodes together is the whole integration, and it runs as one call. It is the same pattern the AI video editing API uses for transform-only jobs, extended here to cover generation and editing in a single graph.

Open the flow and the whole API is four nodes you can read at a glance.

• Product Brief holds the intent. A Text Input node with one line describing the shot. This is the only field a caller has to set.
• Base Frame creates the still. Nano Banana Lite renders a controlled start image from the brief in under two seconds, so the video model animates from a known frame instead of guessing.
• Animate Clip runs Seedance 2.0. The frame becomes its start frame and the brief its prompt, and it returns a short 720p clip.
• Enhance Clip runs Topaz Upscale Video. The generated clip is upscaled, the edit half of the pipeline, and the finished asset URL comes back.

Keeping create and edit in one graph is the point: there is one auth, one error surface, and one asset that flows node to node without a round trip to your server between steps. The same versioning that makes a headless AI workflow platform reproducible applies here, so a run today matches a run next month. The honest tradeoff: this is generation and enhancement, not a manual timeline, so when you only need to trim finished footage frame by frame, an editor is the right tool.

Wireflow is the generation layer, not an editing suite. It creates and transforms clips through models, but it is not a frame-accurate timeline: there is no manual scrubbing, no hand-drawn compositing, and no caption burn-in. Clip lengths follow the model you pick, so this is a tool for short generated and enhanced clips, not for assembling a full edit. If your job is to trim and arrange footage you already shot, an NLE stays the better fit and this API feeds it source clips.

Runs are metered too: building on the canvas is free, but every generation costs credits, so an agent looping over a product feed is a spend decision to cap before you hand it off. Comparing the field first is fair: this guide to building AI workflows with an API shows where a wired create-and-edit graph wins and where a single-purpose endpoint is enough.