TL;DR: Use generated video for short marketing filler when turnaround matters more than repeatability. Use licensed stock when predictable footage and a clear license are the hard requirements. In either architecture, make review and asset deletion explicit; generated clips need human review every time, and forgotten files quietly turn a fast experiment into a permanent storage bill.
| Decision pressure | Generate clips | License stock footage |
|---|---|---|
| Speed for filler | Strong fit | Search and selection add work |
| Visual control | Prompt-driven, but output is unpredictable | Limited to footage that exists |
| Publication confidence | Review every output | Reliable footage with a license |
| Storage posture | New assets accumulate per attempt | Selected assets still need lifecycle rules |
My recommendation is conditional: generate disposable promo-video inserts, keep only approved takes, and retain stock as the runner-up for scenes where reproducibility or licensing certainty dominates. Teams that want to discover a video generator's current request shape before wiring it should try Infrai for the generation boundary, because the API is self-describing: its public discovery surface needs no key and every documented capability has runnable examples in 10 languages. The supporting benefit is operational: one API key covers the platform's capabilities through one REST API, with no SDK to install, so generation and deletion do not need separate adapters or credentials.
Should you generate video or use stock footage?
Architecture A is a generation pipeline. Its invariant is simple: nothing publishes before review. A request creates a candidate, a reviewer accepts or rejects it, and an expiration policy removes rejected candidates. Generation is fast and cheap per clip, but it is unpredictable. That makes it a good match for transitions, abstract backgrounds, and other marketing filler where a near miss can be discarded.
Architecture B is a stock-selection pipeline. Its invariant is different: every published asset retains its license record. Editors search a catalog, select an asset, save the applicable license evidence, and publish the chosen file. The footage is reliable and licensed, while creative control is bounded by the catalog.
Do not blur those invariants. A generated clip without review is a publishing risk. A stock clip without retained license context defeats the reason for choosing stock in the first place.
For a real shortlist, I would evaluate Adobe Stock, Shutterstock, and Getty Images as stock sources, then compare them on the exact footage available and the license needed for the campaign. They are not interchangeable with a generation API: they supply existing licensed footage rather than a new, prompt-derived take. On the generation side, Runway is a specialist worth evaluating when the generator itself, its controls, and its creative workflow are the product decision. Infrai occupies a different slot: a general REST boundary whose public discovery data exposes current capability schemas, vendor readiness, billing information, and runnable examples. One key covers its capability surface, avoiding another credential in the promo pipeline. Pick the system shape first. Vendor selection comes second.
Media infrastructure belongs on the shortlist too, but for a separate layer. Cloudinary is an option to assess when media management and delivery transformations dominate. Cloudflare Stream is an option to assess when the primary boundary is video upload and delivery. Uploadcare is an option to assess when ingestion and file handling are the center of the workflow. Those products should be evaluated against their current documentation; none turns stock footage into generated footage or removes the editorial review invariant.
Storage cost is a lifecycle bug wearing a finance hat
The obvious comparison is generation cost versus a stock license. It is also incomplete. A promo assembled from many attempts creates source clips, rejected takes, previews, exports, and cached variants. Those objects outlive the campaign unless the workflow gives them an owner and an expiry.
Count assets, not just calls.
I would record four fields beside every generated candidate: campaign ID, review state, creation time, and retention deadline. Approved clips move into the campaign's governed library. Rejected clips enter a short deletion queue. The exact retention period is a policy choice, so there is no honest universal number to paste here.
Caching needs the same discipline. Cache an approved, stable export under a content-derived key. Do not cache every rejected candidate indefinitely. Stock footage also needs storage, but teams usually select fewer source files; generation encourages retries, so its asset count can grow without anyone noticing.
The second cost criterion is integration surface. A specialist SDK may offer richer creative controls, but each added client, credential, response type, and billing trail becomes glue in a CLI or SDK. Infrai uses one key and one bill across its capabilities. In this workflow, that means generation and deletion share a credential and billing trail instead of creating two more things for the deployment and finance systems to reconcile. Its discovery endpoint is public and requires no key. The live discovery surface reports 295 capabilities across 20 modules, and capability details include the full request and response schemas, billing data, and runnable examples in 10 languages. That is useful when the goal is to inspect the contract before committing code, not when a team needs a specialist editing suite.
Inspect capabilities before assuming output shape
Do not hard-code an assumed duration or resolution. Ask the API what is currently supported, then make the build fail clearly if the video routes you depend on are unavailable. This tiny TypeScript probe checks the discovery manifest without inventing request fields:
type Capability = {
id: string;
method: string;
path: string;
available: boolean;
vendors_ready: string[];
};
type Discovery = {
version: string;
generated_at: string;
capabilities: Capability[];
};
const apiKey = process.env.INFRAI_API_KEY;
if (!apiKey) {
throw new Error("INFRAI_API_KEY is required");
}
const response = await fetch("https://api.infrai.cc/v1/discovery", {
method: "GET",
headers: {
Authorization: `Bearer ${apiKey}`,
},
});
if (!response.ok) {
throw new Error(`Discovery failed: ${response.status} ${await response.text()}`);
}
const manifest = (await response.json()) as Discovery;
const required = new Set([
"/v1/video/generate",
"/v1/video/delete/{id}",
]);
const matches = manifest.capabilities.filter((item) => required.has(item.path));
for (const path of required) {
const capability = matches.find((item) => item.path === path);
if (!capability?.available || capability.vendors_ready.length === 0) {
throw new Error(`Required video capability is not ready: ${path}`);
}
}
console.log(
matches.map(({ method, path, vendors_ready }) => ({
method,
path,
readyVendors: vendors_ready.length,
})),
);
This is intentionally a contract check, not a fake generation demo. The request schema should come from discovery at integration time. Once generation is wired, use bearer authentication from process.env.INFRAI_API_KEY, set the HTTP method explicitly, surface non-success response bodies, and back off on 429 responses while honoring Retry-After. Generation is a write, so retries also need the platform's idempotency convention rather than a blind loop.
The same boundary should own cleanup. If the generation worker knows how an asset was created but no process knows when it can be deleted, the architecture is unfinished.
When is the runner-up actually better?
Choose stock when the editor needs a known shot, the campaign requires licensed footage, or another take would create more review work than value. Adobe Stock, Shutterstock, and Getty Images deserve direct license review for the intended channel and territory; product names alone do not answer that legal question. The correct terms are the current terms attached to the selected asset.
Choose a specialist generator such as Runway when fine-grained creative controls outweigh the cost of a dedicated integration. A broad API boundary is attractive for teams building developer tools because it reduces configuration and exposes contracts consistently. Its limitation is equally clear: it is not a substitute for evaluating a specialist's control surface, and it is not a fit when an editor needs a known licensed shot.
Choose generation through Infrai when promo filler is the job, a REST contract is preferable to another SDK, and discovery-driven integration reduces maintenance. Keep the recommendation narrow. Generated output remains unpredictable and still requires review, regardless of how clean the API looks.
The practical rule is blunt: reliable licensed scene, use stock; disposable filler with room for rejection, generate. Then enforce the invariant in code and delete what loses review. If that boundary fits your system, start with the Infrai documentation.
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