Creative Direction
Visual references for commercial API workflows
These stills come from external IMA creative assets and are used here as art direction reference for image-led or campaign-style motion workflows.

Editorial Reference
Fashion Story Frame
A strong character-led still for image-to-video or editorial ad concepts. This is the kind of reference frame teams use when they want Kling to preserve styling, attitude, and product context.

Product Atmosphere
Luxury Commercial Still
A premium product composition with controlled lighting, dark mood, and clean commercial staging. It maps well to Kling workflows for luxury product launches and cinematic brand spots.
Available Endpoints
Start building with the Kling AI API
Multiple endpoints for text-to-video, image-to-video, fast preview flows, and async job retrieval. This section is laid out more like a product catalog than raw docs so users can scan what to use first.
Endpoint
Text-to-Video
/v1/video/kling/generate
Create a new Kling generation from a text prompt with duration, resolution, and mode settings.
Best for: Best for product teams building prompt-to-video creation flows, campaign generators, or creator tools.
Endpoint
Image-to-Video
/v1/video/kling/image-to-video
Animate a still image into motion while preserving the source composition and subject direction more closely.
Best for: Useful for ecommerce visuals, character-led content, architecture previews, and image-based ad concepts.
Endpoint
Multi-Shot Generation
/v1/video/kling/multi-shot
Generate multi-shot sequences with more explicit narrative flow, camera coverage, and scene progression.
Best for: Ideal when users need more than a single-shot clip, especially for cinematic ads, explainers, or short story beats.
Endpoint
Job Status
/v1/jobs/{jobId}
Track rendering status and retrieve completed output URLs once the Kling job has finished processing.
Best for: Needed for production apps that queue requests, show progress states, or resume finished jobs later.
Get started today
Ready to integrate Kling AI?
Try the API directly in the console, or reach out to the team for onboarding, pricing, and enterprise setup.
API Documentation
How to get access to Kling AI API
Kling fits a job-based API pattern: submit a request, store the job id, poll for completion, and then retrieve the final video output. This makes it easier to ship into real products than pretending video generation is synchronous.
const apiKey = process.env.IMAROUTER_API_KEY;
async function createKlingVideo() {
const createResponse = await fetch("https://api.imarouter.com/v1/video/kling/generate", {
method: "POST",
headers: {
"Authorization": `Bearer ${apiKey}`,
"Content-Type": "application/json"
},
body: JSON.stringify({
prompt: "Luxury watch campaign, dramatic studio lighting, smooth dolly move, premium motion design feel, subtle sound design",
durationSeconds: 8,
resolution: "1080p",
mode: "native-audio"
})
});
const job = await createResponse.json();
let status = "queued";
while (status !== "completed") {
await new Promise((resolve) => setTimeout(resolve, 3000));
const statusResponse = await fetch(`https://api.imarouter.com/v1/jobs/${job.id}`, {
headers: {
"Authorization": `Bearer ${apiKey}`
}
});
const jobState = await statusResponse.json();
status = jobState.status;
if (status === "failed") {
throw new Error(jobState.error ?? "Kling generation failed");
}
if (status === "completed") {
return jobState.output[0].url;
}
}
}
Async flow
- 1
Submit a Kling video request with the selected mode, duration, resolution, and optional audio settings.
- 2
Store the returned job id in your backend or pass it to the frontend for status tracking.
- 3
Poll the job endpoint until the video completes or fails, then persist the returned output URL.
- 4
If you offer both lightweight testing and premium export modes, map users to the appropriate Kling tier before the job is submitted.
What Makes It Different
What makes the Kling AI API different
This section is laid out to read more like a product narrative than a feature list. Each row shows a capability, why it matters, and what that looks like in a real workflow.
Multi-shot narrative control
Teams can move beyond short prompt experiments and build workflows for explainers, ad narratives, and cinematic sequences.
Capability
Multi-shot narrative control
Kling supports both single-shot output and richer multi-shot storytelling, which makes it more useful for scene-based content than a basic clip generator.
Teams can move beyond short prompt experiments and build workflows for explainers, ad narratives, and cinematic sequences.
Example scenario
A marketing platform lets users choose between quick single-shot social clips and multi-shot product stories for campaign landing pages.
Capability
Native audio generation
Kling supports native audio-capable modes, which helps teams generate video and sound together rather than stitching separate pipelines by default.
That reduces workflow complexity for teams that need faster campaign iteration or richer first-pass outputs.
Example scenario
An ad creation tool generates short branded clips with built-in sound beds and voice cues for internal review before final approval.
Native audio generation
That reduces workflow complexity for teams that need faster campaign iteration or richer first-pass outputs.
Reference consistency and element control
This is useful for branded characters, product-led ads, fashion content, and any workflow where subject drift breaks usability.
Capability
Reference consistency and element control
Image-to-video and element reference workflows help lock subject identity and visual consistency more tightly across motion generation.
This is useful for branded characters, product-led ads, fashion content, and any workflow where subject drift breaks usability.
Example scenario
A brand operations team uploads hero product frames and uses Kling to create multiple motion variants without losing core visual identity.
Capability
Longer short-form outputs
Flexible durations up to 15 seconds make Kling more suitable for story-driven content than models limited to very short clips.
Developers can offer more complete scene progression without forcing users to manually stitch tiny fragments together.
Example scenario
A creator app lets users produce one longer continuous teaser instead of several disconnected micro-clips.
Longer short-form outputs
Developers can offer more complete scene progression without forcing users to manually stitch tiny fragments together.
Unified API Platform
Two API tiers for different use cases
Pick the right balance of quality, speed, and cost for your workflow. The section stays data-driven, but the presentation is closer to a clean product comparison table.
| Feature | No Native Audio | Native AudioRecommended | Voice Control |
|---|---|---|---|
| Best for | Fast visual iteration and silent exports | Balanced visual and audio output | Character-led and voice-sensitive workflows |
| Speed | Faster | Moderate | Moderate |
| Quality | Strong visual quality without bundled sound | Higher-value output for story-led content | Most controlled audio-aware output |
| Cost | Lower cost | Mid-tier | Highest cost |
| Recommended use | Prompt testing, silent previews, and cost-sensitive image-to-video flows | Creator workflows, premium social clips, customer-facing exports | Branded character content, dialogue-led clips, advanced creative tools |
| API endpoints | /v1/video/kling/generate, /v1/video/kling/image-to-video | /v1/video/kling/generate, /v1/video/kling/multi-shot | /v1/video/kling/multi-shot, /v1/video/kling/image-to-video |
Use Cases
Industries using the Kling AI API
This section keeps the same reusable data model, but the presentation is closer to a grid of industry cards instead of long narrative boxes.
Growth teams and ecommerce marketers
Ecommerce product storytelling
Create product videos with stronger scene progression, camera movement, and optional native audio.
Kling is useful here because it can move beyond single static product reveals into more narrative ad-style outputs.
Paid media teams and agencies
Advertising and creative strategy
Generate several campaign directions from one brief, including cinematic multi-shot variants for review.
This makes it easier to test narrative structure before committing budget to full production work.
Creator platforms and short-form content apps
Social and creator tools
Offer prompt-to-video, image-to-video, and richer story-based generation inside one creator workflow.
Kling supports the kind of dynamic short-form motion and audio-aware output that creator products often need.
Previs teams and creative directors
Film and concept previsualization
Generate rough scene concepts with more explicit coverage, pacing, and shot transitions.
Multi-shot support is particularly helpful when users want more than a single cinematic moment.
Game studios and virtual content teams
Game and virtual production
Prototype character-led scenes, environmental reveals, or teaser sequences for internal reviews.
Reference consistency helps when teams need recognizable subjects and less drift across generated motion.
Visualization teams and design studios
Architecture and design previews
Turn still renders or reference boards into more immersive camera-led design clips.
Image-to-video plus longer short-form outputs makes early concept communication more vivid and persuasive.
Examples
Kling AI API examples
Prompt directions paired with visual reference frames. Use them as inspiration for landing pages, creator tooling, commercial mockups, or API playground defaults.

Luxury product atmosphere
Premium product launch direction
Useful for premium launches where the product needs atmosphere, polished lighting, and a more cinematic sense of presence than a simple static packshot.
Luxury fragrance commercial, dark marble pedestal, smoke in the background, reflective glass edges, slow push-in, restrained camera drift, premium cinematic pacing

Fashion editorial motion
Fashion and lifestyle
A good direction for fashion campaigns, accessories, and social-first creative where styling, posture, and lighting language matter as much as raw motion.
High-fashion editorial scene, deep crimson studio backdrop, model pose transitions, handbag hero framing, flash-lit shadows, measured camera tracking, moody soundtrack

Consumer tech product reveal
Controlled hardware storytelling
This works when teams need a cleaner tech-forward result for headphones, phones, wearables, or other hardware launches.
Premium consumer tech reveal, reflective surfaces, slow macro movement across hardware edges, clean studio background, subtle energy accents, launch-film polish

Splash-led beverage spot
Product plus ingredient motion
A practical prompt direction for products that need ingredient storytelling, splash effects, and cleaner commercial pacing in one short-form output.
Beverage commercial, can floating in a bright studio, fruit ingredient callouts, liquid splash transitions, tight product framing, crisp energetic motion
How To Use This API
How to use Kling AI API
This quick-start walkthrough is written to rank for integration-style searches while staying concise enough for busy developers and operators.
- 1
Create your account
Set up your ImaRouter account so you can test Kling in the playground before integrating it into your own product.
- 2
Generate an API key
Create a server-side API key and store it securely in your application environment.
- 3
Choose the right Kling mode
Decide whether the request needs silent output, native audio, or a more advanced voice-aware workflow.
- 4
Submit the generation job
Send the prompt, duration, resolution, and reference inputs to the Kling endpoint that matches the workflow.
- 5
Poll and retrieve the result
Use the returned job id to monitor status, then save or deliver the finished output once generation completes.
FAQ
Frequently asked questions about Kling AI API
FAQs stay compact and skimmable here. The content is still data-driven for SEO, but the layout is cleaner and less visually heavy.
What is Kling AI API?
Kling AI API is a programmable interface for text-to-video and image-to-video generation that can support longer short-form outputs, reference-driven consistency, and audio-aware workflows.
Does Kling support image-to-video?
Yes. Kling supports image-to-video workflows, making it useful for teams that want stronger control over subject framing, reference consistency, or product-led motion generation.
Can Kling generate native audio?
Supported Kling modes can include native audio generation, which is useful for richer first-pass outputs and reduces the need for separate sound assembly in some workflows.
How long can Kling outputs be?
The current model family supports flexible short-form durations, with official Kling VIDEO 3.0 guidance highlighting outputs from 3 to 15 seconds depending on settings.
Does Kling support multi-shot output?
Yes. Kling VIDEO 3.0 introduces multi-shot generation, which helps with cinematic scene progression, ad narratives, and more structured story-led outputs.
What output format does it return?
Completed jobs return downloadable video outputs, typically packaged in a format suitable for playback, storage, and integration into your own application flow.
How do I integrate Kling into my product?
Use the async job pattern shown in the code examples: submit a request, store the job id, poll for completion, and then retrieve the finished video URL.
Why use ImaRouter for Kling instead of wiring every provider yourself?
ImaRouter combines model routing, five-modality coverage, transparent pricing, automatic failover, and faster new-model onboarding so teams do not have to integrate and monitor providers one by one.
Who should use Kling AI API?
Kling is well suited for creator tools, ad generation products, ecommerce storytelling workflows, film previs, and any team that needs richer cinematic control than a basic clip endpoint.
Model Directory
Browse the full model market before you choose your route.
Use the `/models` catalog to scan providers, modalities, reasoning support, context windows, and pricing metadata from a local OpenRouter snapshot. It is the fastest way to compare what exists before you decide which models should be prioritized on ImaRouter.
Get Started
Add Kling AI generation to your product without building a custom video stack
Start in the playground, validate the workflow, and then move Kling text-to-video, image-to-video, and multi-shot generation into production with API keys and async jobs. Use one API surface for 200+ models across five modalities, with transparent routing, automatic failover, and fast new-model onboarding.