AI Video Generator API

The AI video generator API is a RESTful web service that enables developers to integrate AI-powered video generation capabilities directly into their applications, platforms, and automated workflows. With the AI video generator API, you can build content creation tools that produce video from text prompts, e-commerce platforms that auto-generate product videos, learning management systems with automated training content creation, marketing automation tools with dynamic video ad generation, and social media platforms with built-in video creation features. The AI video generator API provides programmatic access to eight state-of-the-art models including Google Veo 4, OpenAI Sora 2, Kling v2.5, Hailuo 2, Seedance 2.0, and Wan AI 2.2. Each API request to the AI video generator API specifies a model, prompt, and output parameters, and returns a generated video file. The AI video generator API uses an asynchronous submit-and-poll pattern with optional webhook callbacks, making it suitable for both interactive and batch processing applications. Whether you are a startup building a video-first product or an enterprise adding video capabilities to existing software, the AI video generator API provides the infrastructure-free path to production-ready AI video generation.

Authentication with the AI video generator API uses API key-based authorization that is simple to implement and secure in production. After creating an account on our platform, navigate to your dashboard settings to generate your AI video generator API key. Include this key in the Authorization header of every AI video generator API request using the Bearer token format. The AI video generator API validates your key on each request and checks your account's credit balance before queuing generation jobs. For security best practices with the AI video generator API, store your API key in environment variables rather than hardcoding it in source code. The AI video generator API supports key rotation—you can generate new keys and revoke old ones through the dashboard without downtime. Rate limits on the AI video generator API are enforced per API key, so separate keys can be used for different environments or applications. The AI video generator API returns a 401 Unauthorized response for invalid or expired keys, and a 403 Forbidden response when your credit balance is insufficient. Enterprise customers can request multiple AI video generator API keys with individual rate limits and credit allocations for team-based access management.

The AI video generator API provides unified access to eight cutting-edge generative video models, each selectable through a single model parameter in your API request. Google Veo 4 in the AI video generator API delivers the highest photorealism with optional audio generation, supporting both text-to-video and image-to-video workflows. Veo 3.1 through the AI video generator API adds first and last frame control for precise creative direction. Kling v2.5 Turbo Pro via the AI video generator API excels at dynamic motion with 5 and 10 second duration options. Hailuo 2 in the AI video generator API offers cinematic quality at three resolution tiers with prompt optimization. Seedance 2.0 through the AI video generator API provides the widest aspect ratio support including ultrawide formats and fixed camera mode. Wan AI 2.2 in the AI video generator API specializes in image-to-video with advanced LoRA customization support. Sora 2 and Azure Sora complete the AI video generator API model roster with OpenAI's latest video generation technology at multiple resolutions. The AI video generator API's model parameter accepts a simple string identifier, making it trivial to switch between models or let your users choose their preferred generation engine.

The AI video generator API uses standard JSON for both requests and responses, following RESTful conventions that integrate naturally with any HTTP client or framework. A generation request to the AI video generator API is a POST with a JSON body containing required fields for model and prompt, plus optional fields for aspect ratio, resolution, duration, negative prompt, reference image URL, seed, and audio generation flag. The AI video generator API responds to the submit request with a JSON object containing the job ID, status, estimated completion time, and credit cost. Polling the status endpoint of the AI video generator API with the job ID returns the current generation state along with progress percentage when available. Upon completion, the AI video generator API status response includes the output video URL, generation duration, model used, and any applicable metadata. Error responses from the AI video generator API follow a consistent format with status code, error type, human-readable message, and request ID for support reference. The AI video generator API sets appropriate CORS headers for browser-based integrations and supports both application/json and multipart/form-data content types for requests that include image uploads. All timestamps in the AI video generator API use ISO 8601 format in UTC.

The AI video generator API implements an asynchronous processing model specifically designed for video generation workloads that typically require thirty seconds to several minutes to complete. When you submit a request to the AI video generator API, the system immediately validates your parameters and credentials, deducts credits, and queues the job on GPU infrastructure. The AI video generator API returns a 202 Accepted response with the job ID, allowing your application to continue processing without blocking. You can poll the AI video generator API status endpoint at recommended intervals to check generation progress, receiving percentage completion and estimated time remaining. For production architectures, the AI video generator API supports webhook notifications that POST a JSON payload to your configured URL when generation succeeds or fails. The AI video generator API webhook includes the complete job result, eliminating the need for an additional API call to retrieve the output. This asynchronous design in the AI video generator API enables you to submit batch jobs, process generation results in background workers, and build resilient applications that handle generation delays gracefully. The AI video generator API maintains job status for 24 hours after completion, giving your application ample time to retrieve results even in failure recovery scenarios.

The AI video generator API implements tiered rate limiting to ensure consistent performance and fair access for all users while supporting high-throughput production applications. Free tier accounts on the AI video generator API can submit up to ten concurrent generation jobs with a maximum of sixty requests per hour to any endpoint. Starter subscriptions increase the AI video generator API concurrency to twenty-five simultaneous jobs with higher hourly request limits. Professional plans raise the AI video generator API ceiling to fifty concurrent generations, suitable for most production applications. Business and enterprise tiers of the AI video generator API support one hundred or more concurrent jobs with custom rate limits available upon request. The AI video generator API returns HTTP 429 Too Many Requests when limits are exceeded, including a Retry-After header that specifies how many seconds to wait before retrying. Rate limits on the AI video generator API apply per API key, allowing you to distribute load across multiple keys if needed. The AI video generator API status endpoint has separate, higher rate limits since polling is expected during active generation. Enterprise customers can work with our team to configure custom AI video generator API rate limits that match their specific throughput requirements and usage patterns.

The AI video generator API uses a transparent credit-based pricing model where each generation request consumes a specific number of credits determined by three factors: the model selected, output resolution, and video duration. Premium models in the AI video generator API like Veo 4 and Sora 2 require more credits per generation due to their superior output quality and computational requirements. Cost-efficient models in the AI video generator API such as Hailuo 2 and Seedance 2.0 consume fewer credits, making them ideal for high-volume applications. Higher resolutions and longer durations in the AI video generator API increase credit consumption proportionally. The AI video generator API provides a pricing endpoint that returns exact credit costs for any model and configuration combination before you submit a generation request. Free accounts receive starter credits to build and test AI video generator API integrations without any upfront payment. Subscription plans offer monthly credit allocations at discounted per-credit rates compared to individual purchases. Enterprise pricing for the AI video generator API includes volume discounts, committed use agreements, and custom credit packages. The AI video generator API also supports credit top-ups for handling demand spikes without requiring plan changes. All credit deductions through the AI video generator API are atomic and transactional, ensuring you are never charged for failed generations.

Yes, the AI video generator API is fully licensed for commercial use, enabling you to build revenue-generating products and services powered by AI video generation. All videos produced through the AI video generator API are cleared for commercial distribution, meaning your users can publish, sell, and monetize content generated via your integration. The AI video generator API terms of service explicitly permit building SaaS products, marketplace platforms, agency tools, and consumer applications that incorporate AI-generated video. Many successful commercial products are built on the AI video generator API, including content creation platforms, marketing automation tools, e-commerce product video generators, and educational technology solutions. The AI video generator API supports white-label integration—generated videos contain no watermarks or platform branding, allowing you to present AI video generation as a native feature of your product. For agencies and studios, the AI video generator API enables building custom video production workflows that serve client needs at scale. The AI video generator API's credit system allows you to build your own pricing model on top, purchasing credits at wholesale subscription rates and reselling generation capacity to your users. Enterprise agreements for the AI video generator API include commercial use guarantees, indemnification clauses, and SLA commitments suitable for mission-critical business applications.

The AI video generator API implements comprehensive error handling with structured JSON responses, standard HTTP status codes, and descriptive messages that enable robust integration development. Client errors in the AI video generator API return 4xx status codes: 400 for invalid parameters, 401 for authentication failures, 403 for insufficient credits, 404 for unknown job IDs, and 429 for rate limit violations. Server errors from the AI video generator API use 5xx status codes with automatic retry guidance. Every error response from the AI video generator API includes a consistent JSON structure with fields for error type, human-readable message, request ID for support reference, and optional details about which parameter failed validation. The AI video generator API automatically retries generation jobs that fail due to transient infrastructure issues, attempting up to three retries before marking a job as permanently failed. Failed generations through the AI video generator API automatically refund consumed credits to your account balance. Webhook notifications from the AI video generator API include complete error details for failed jobs, enabling your application to handle failures asynchronously. For resilient integrations, implement exponential backoff when the AI video generator API returns 429 or 5xx responses. The AI video generator API provides a health check endpoint for monitoring service availability and a status page for tracking any ongoing incidents.

Yes, the AI video generator API supports image-to-video generation across multiple models, enabling you to animate static images into dynamic video content programmatically. To use image-to-video through the AI video generator API, include a reference image URL in the image parameter of your generation request alongside your text prompt. The AI video generator API processes the reference image as visual guidance, preserving the source image's composition, colors, and subject while adding natural motion and environmental dynamics. Models supporting image-to-video in the AI video generator API include Veo 4 with reference image input, Veo 3.1 with first and last frame control, Kling v2.5 with start image capability, Hailuo 2 with first frame input, Seedance 2.0 with reference image, and Wan AI 2.2 with advanced image-to-video processing including LoRA support. The AI video generator API accepts image URLs pointing to publicly accessible JPEG, PNG, or WebP files. For applications that need to upload images directly, the AI video generator API supports multipart form data requests with inline image data. Image-to-video through the AI video generator API is particularly valuable for e-commerce product animation, photo-to-video social media content, and creative applications where visual consistency with a source image is essential. The AI video generator API's text prompt works alongside the reference image to guide motion direction, camera movement, and atmospheric effects.

The AI video generator API supports a comprehensive range of resolutions and durations that vary by model, giving developers full control over output quality and file size for their specific use case. Resolution options in the AI video generator API include 480p for lightweight previews and prototyping, 512p and 720p for standard quality social media content, and 1080p Full HD for professional and commercial output. The Azure Sora model through the AI video generator API offers specific resolution presets including 480x480, 854x480, 720x720, 1280x720, 1080x1080, and 1920x1080 for precise format control. Aspect ratios available in the AI video generator API span 16:9 landscape, 9:16 portrait, 1:1 square, 4:3, 3:4, 21:9 ultrawide, and 9:21 ultra-tall depending on the model selected. Duration options in the AI video generator API range from 4 seconds to 15 seconds, with specific options varying by model—Veo models support 4, 6, and 8 seconds, Kling offers 5 and 10 seconds, and Azure Sora allows custom durations up to 15 seconds. The AI video generator API documentation includes a complete compatibility matrix showing which resolution and duration combinations are available for each model. Higher resolutions and longer durations in the AI video generator API consume more credits, so the API's pricing endpoint helps developers balance quality requirements against cost constraints.

Yes, select models in the AI video generator API support AI-generated audio synchronization, producing complete audiovisual output from a single API request. Google Veo 4 through the AI video generator API includes an optional generate_audio parameter that, when enabled, produces a synchronized soundtrack, sound effects, or ambient audio that matches the visual content. Veo 3.1 via the AI video generator API also supports audio generation with the same parameter. To enable audio in your AI video generator API request, set the generate_audio field to true in your JSON payload. The AI video generator API's audio generation analyzes the visual content and prompt description to create appropriate audio that enhances the viewing experience. Audio from the AI video generator API is embedded directly in the output video file, requiring no additional processing or synchronization on your end. Models without native audio support in the AI video generator API produce silent video output that you can pair with your own audio tracks in post-processing. The AI video generator API's audio generation capability is particularly valuable for building content creation tools where users expect complete, ready-to-publish video output. Credit costs for audio-enabled generations through the AI video generator API are included in the model's standard pricing with no additional surcharge. The AI video generator API's audio quality matches the visual output standard, producing natural-sounding results that enhance rather than distract from the generated video content.

The AI video generator API integrates with virtually any technology stack through its standard RESTful HTTP interface, requiring no proprietary SDKs, special runtime dependencies, or platform-specific libraries. For backend integration, the AI video generator API works with any server-side language including Node.js, Python, Ruby, Go, Java, PHP, and Rust—any language with an HTTP client can call the AI video generator API. Frontend applications integrate with the AI video generator API through standard fetch or axios calls, with CORS headers pre-configured for browser-based requests. Queue-based architectures pair naturally with the AI video generator API's asynchronous model—submit jobs from your web workers and process results via webhook in your queue consumers. Serverless functions on AWS Lambda, Google Cloud Functions, or Vercel Edge Functions work well with the AI video generator API since the async processing model means functions do not need to maintain long-running connections. The AI video generator API integrates with workflow automation tools like Zapier, Make, and n8n through their HTTP request modules. For mobile applications, the AI video generator API's lightweight JSON interface keeps network payload minimal while the async model prevents blocking the main thread. CI/CD pipelines can incorporate the AI video generator API for automated content generation in build and deployment workflows. The AI video generator API's webhook system integrates with event-driven architectures including Apache Kafka, RabbitMQ, and cloud pub/sub systems.

Generation time through the AI video generator API varies based on the model selected, output resolution, duration, and current queue depth, but most requests complete within one to five minutes. Premium models in the AI video generator API like Veo 4 and Sora 2 typically require two to five minutes for 1080p output due to their complex neural architectures and high-quality rendering. Faster models in the AI video generator API such as Kling v2.5 Turbo Pro and Hailuo 2 often complete in one to three minutes, particularly at lower resolutions. The AI video generator API returns an estimated completion time in the submit response, helping your application set appropriate user expectations. Queue position affects generation time on the AI video generator API—paid subscribers receive priority queue access that significantly reduces wait times compared to free tier accounts. The AI video generator API status endpoint includes a progress percentage for active jobs, enabling real-time progress indicators in your user interface. For latency-sensitive applications, the AI video generator API's webhook system ensures your application is notified the instant generation completes rather than discovering completion on the next poll cycle. Batch processing through the AI video generator API benefits from submitting multiple jobs concurrently, as each job processes independently on separate GPU resources. The AI video generator API's infrastructure automatically scales to handle demand fluctuations, maintaining consistent generation times during peak usage periods.

The AI video generator API provides several approaches for development and testing that allow you to build and validate integrations before committing to production-scale credit usage. Free tier accounts serve as the primary sandbox for the AI video generator API, providing starter credits that let you make real generation requests during development. The AI video generator API's cost-efficient models like Hailuo 2 at 512p resolution consume minimal credits per request, making them ideal for integration testing and development iteration. Parameter validation on the AI video generator API occurs before credit deduction, so malformed requests during development never consume credits. The AI video generator API pricing endpoint lets you query credit costs without submitting actual generation requests, enabling you to build accurate cost estimation features without spending credits. For automated testing, the AI video generator API's consistent response format means you can mock responses based on documented schemas during unit testing. The AI video generator API returns predictable error responses that you can test against including authentication failures, parameter validation errors, rate limit responses, and insufficient credit scenarios. Staging environments can use the AI video generator API with separate API keys to isolate test traffic from production usage. The AI video generator API maintains complete request logs in your dashboard, providing visibility into all development and testing API calls. Enterprise customers can arrange dedicated test credit allocations through the AI video generator API team for large-scale integration testing.