Video Generation API is now live!
Kling AIVideo API

Kling AI APIfor developers.

Bring text-to-video, image-to-video, native audio, and multi-shot workflows into one production-ready API.Narrative control, polished output, and no custom video infrastructure.

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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.

Fashion editorial reference frame with a model styled against a deep red background.

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.

Luxury perfume product still on a dark set with dramatic lighting and smoke.

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.

Inputs

Prompt, image, start/end frames

Supports prompt-led generation and reference-driven motion control

Output

MP4 video

Downloadable output suitable for review, export, or in-product playback

Resolution

720p and 1080p

Choose quality level based on speed and cost targets

Duration

3 to 15 seconds

Flexible short-form storytelling with longer continuous outputs

Audio

Native audio modes

Supports voice and sound generation in supported tiers

Narrative control

Single-shot and multi-shot

Useful for product demos, ads, and scene-based storytelling

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.

NewStandard

Endpoint

Text-to-Video

/v1/video/kling/generate

Core endpointText-to-videoAsync job

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.

New

Endpoint

Image-to-Video

/v1/video/kling/image-to-video

Image-to-videoReference-ledConsistency

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.

NewAdvanced

Endpoint

Multi-Shot Generation

/v1/video/kling/multi-shot

Multi-shotNarrativeCinematic control

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.

New

Endpoint

Job Status

/v1/jobs/{jobId}

PollingAsync statusProduction flow

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.

Selected endpoint

/v1/video/kling/generate

Start with the main generation endpoint, then adapt the same flow for image-to-video and multi-shot runs when users need stronger control or reference consistency.

Best for product teams building prompt-to-video creation flows, campaign generators, or creator tools.

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. 1

    Submit a Kling video request with the selected mode, duration, resolution, and optional audio settings.

  2. 2

    Store the returned job id in your backend or pass it to the frontend for status tracking.

  3. 3

    Poll the job endpoint until the video completes or fails, then persist the returned output URL.

  4. 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.

Preview

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.

Preview

Native audio generation

That reduces workflow complexity for teams that need faster campaign iteration or richer first-pass outputs.

Preview

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.

Preview

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 forFast visual iteration and silent exportsBalanced visual and audio outputCharacter-led and voice-sensitive workflows
SpeedFasterModerateModerate
QualityStrong visual quality without bundled soundHigher-value output for story-led contentMost controlled audio-aware output
CostLower costMid-tierHighest cost
Recommended usePrompt testing, silent previews, and cost-sensitive image-to-video flowsCreator workflows, premium social clips, customer-facing exportsBranded 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 fragrance still used as visual direction for a Kling product atmosphere example.

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

luxuryproduct filmcinematic
Luxury red handbag studio still used as visual direction for a Kling fashion editorial example.

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

fashioneditorialaccessories
Headphone product still used as visual direction for a Kling consumer tech reveal example.

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

consumer techhardwarelaunch
Sparkling drink can still used as visual direction for a Kling splash-led beverage commercial example.

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

beverageproduct adingredients

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. 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. 2

    Generate an API key

    Create a server-side API key and store it securely in your application environment.

  3. 3

    Choose the right Kling mode

    Decide whether the request needs silent output, native audio, or a more advanced voice-aware workflow.

  4. 4

    Submit the generation job

    Send the prompt, duration, resolution, and reference inputs to the Kling endpoint that matches the workflow.

  5. 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.