Video is the highest-performing ad format on almost every platform, and the most expensive to produce the traditional way. BScale AI's video stack changes that economics: you describe the video, or provide a product image, and the platform generates broadcast-ready short-form video in minutes.
The studio supports multiple AI video engines, so each job can use the engine that fits it best. Generated clips get automatic subtitles in the language of your audience, text and logo overlays, and per-platform variants: vertical for Reels and TikTok, square for feeds, horizontal for YouTube.
For multi-scene stories there is a film mode: the platform plans scenes from your brief, renders them one by one with a consistent style, and stitches them into a single film with music. Hebrew and other non-Latin scripts are fully supported in subtitles and on-screen text.
Developers get the same power through the Video API: a pay-per-video REST API that takes a text prompt or an image and returns a finished video file. It is the same engine fleet that powers the studio, priced per generated video with no subscription required.
Because generation runs on BScale's own GPU infrastructure, pricing stays transparent and predictable: you see the exact cost before you generate, and you only pay for what you create.
Why BScale AI runs its own GPU video infrastructure
Most AI video products resell capacity from third-party model providers, which means their costs, queue times and model availability are someone else's decisions. BScale AI took the harder route: video generation runs on the company's own GPU infrastructure, with multiple engines operated in-house.
Owning the stack has direct user-facing consequences. Pricing can stay transparent and predictable because the underlying cost is known, the engine fleet can be tuned for marketing video workloads specifically, and new engines can be added and routed to the jobs they fit best.
For buyers, the practical takeaway is control over the full chain: the same infrastructure powers both the visual studio and the developer API, so both surfaces inherit the same engines and economics.
It also changes the cost conversation. You see the exact cost before you generate and pay only for what you create, from the same prepaid balance wallet that covers the rest of the platform. No monthly minimum stands between an idea and a test render.
Inside the studio: from prompt to platform-ready clip
The studio workflow starts from either a text description or a product image. Text-to-video suits concept and lifestyle clips; image-to-video shines for commerce, animating a real product shot into motion that stays true to the product.
Generated clips then pass through the finishing layer that ad work actually requires: automatic subtitles in your audience's language, text and logo overlays, and per-platform variants: vertical for Reels and TikTok, square for feeds, horizontal for YouTube. This last mile is where generic video generators typically hand you a file and leave; here it is part of the pipeline.
Multiple engines matter because video jobs differ: motion-heavy scenes, product close-ups and stylized sequences each have engines that handle them better. The studio routes each job accordingly instead of forcing one model to do everything.
Film mode: multi-scene stories with one style
Single clips top out at short-form lengths, so longer stories are built differently: film mode plans scenes from your brief, renders each scene with a consistent visual style, and stitches the result into one film with music and narration.
Consistency across scenes is the hard problem in AI film making, and it is the specific thing film mode is built around: characters, palette and mood carry through the cut, so the output reads as one directed piece rather than a slideshow of unrelated generations.
Hebrew and other non-Latin scripts are fully supported in subtitles and on-screen text, which makes film mode viable for local-language brand films, not only English ones.
The Video API: pay-per-video generation over REST
Everything the studio does with a click, developers can do with a request. The Video API is a REST interface that accepts a text prompt or an image and returns a finished video file, priced per generated video with no subscription required.
It is the same engine fleet that powers the studio, so API users get the identical generation quality without building or renting GPU infrastructure themselves. Typical uses include products that generate video for their own users, automated content pipelines, and platforms adding video features without a machine-learning team.
Integration follows the documented flow at the developer docs: authenticate, submit the job, retrieve the result. Because billing is per video from a prepaid balance, cost scales exactly with usage and is visible before each job runs.
Studio or API: choosing the right surface
The decision is about who triggers the video. When a person is creating marketing assets, the studio is the right surface: visual iteration, finishing tools, and the Creative Library with Google Drive backup around the results. When software triggers the video, the API is the right surface: programmatic, per-video pricing, no human in the loop required.
Many teams end up using both: marketers in the studio for campaign creative, developers on the API for automated or embedded generation. Since both run on the same engines and the same wallet, mixing them adds no complexity, and skills learned on one side transfer directly to the other.
Whichever surface you start with, the outputs feed the same marketing motion: studio videos flow into campaigns published by the same platform, and API-generated videos inherit the same per-video economics and the same visible-before-you-generate pricing.