AI Bulk Generation API

When the catalogue is bigger than the interface

Generating a handful of assets by hand is fine. Doing it across a few thousand SKUs is a different job, and no amount of interface polish makes it a reasonable one. The point at which a studio stops being the right tool and an API starts being the right tool is roughly where you find yourself repeating the same three operations with only the source file changing.

Generation is asynchronous, and the design follows from that

Image generation takes seconds and video takes considerably longer, which is far too long to hold a request open. Jobs are submitted, acknowledged with an id, and collected when they finish. Building against that shape from the start avoids the rewrite that always follows an integration designed around an immediate response.

Per-generation billing maps onto bulk work

A seat-based subscription prices access to an interface, which is exactly the thing a bulk workflow does not use. Paying per generation means a catalogue run costs what it costs and a quiet month costs nothing, and it makes the unit economics of a batch calculable before you start it rather than after.

Plan for failures as a normal case

Across a large batch some jobs will fail, and a pipeline that treats that as exceptional will stall on the first one. Failed generations are refunded automatically, so the accounting side is handled; the part worth building carefully is the retry and reporting logic, so a batch of several thousand finishes with a list of what needs another pass rather than stopping halfway.

Frequently asked questions

How is this different from using the studio interface?

Same generation, different entry point. The studio is right for exploratory work where you are judging each result as it arrives. The API is right once the creative decisions are settled and what remains is applying them across a large set of inputs.

What does a batch cost?

The per-generation cost of the operation multiplied by the number of jobs, with failed jobs refunded. Because there is no seat or tier component, the cost of a run can be calculated from the batch size before you start it. The credit calculator covers the per-operation rates.

How do I get results back?

Submit a job, receive an id, and collect the asset once the job reports complete. Building a proof of concept that runs that full round trip, including a deliberate failure, is the fastest way to confirm the integration shape works for your pipeline.

Is output from bulk generation watermarked?

Not on paid plans. Free trial credits produce watermarked output, which is useful for validating an integration but not for assets you intend to publish.

Related tools and workflows

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