→How to Migrate from Kling AI to InVideo AI (Step-by-Step)
Last updated: April 2026
Migrating from Kling AI to InVideo AI is often driven by accessibility, pricing transparency, and workflow simplification. While Kling AI excels in high-fidelity physics simulation, InVideo AI offers a complete production pipeline with stock media, templates, and multilingual support—all without requiring video editing expertise. This guide covers the complete migration process, including exporting your Kling AI assets, adapting your workflow to InVideo's freemium model, and mapping key features to ensure you maintain productivity during the transition.
Estimated Timeline
solo user
3-5 hours for audit, setup, and testing
small team
2-3 days including training and workflow adjustment
enterprise
1-2 weeks for full migration, integration, and validation
Migration Steps
Audit Your Kling AI Assets and Workflows
easyExport All Media and Metadata from Kling AI
mediumSet Up Your InVideo AI Account and Workspace
easyRecreate Key Projects in InVideo AI
mediumAdapt to InVideo AI's Editing and Customization Workflow
mediumTest Output Quality and Performance
mediumTrain Your Team on InVideo AI (If Applicable)
easyPhase Out Kling AI and Monitor Results
easyFeature Mapping
| Kling AI | InVideo AI Equivalent | Notes |
|---|---|---|
| Text-to-video generation | Text-to-video with full editing | InVideo AI generates complete videos with voiceovers, stock footage, and captions, while Kling AI focuses on raw visual generation. |
| High-fidelity physics simulation | Stock footage library with realistic clips | InVideo AI uses pre-existing stock media rather than simulating physics from scratch, which may limit custom realism. |
| Long-form video creation (up to 2 minutes) | Variable length video generation | InVideo AI supports various lengths but may require premium plans for longer videos; check current limits. |
| Complex camera movements | Pre-set transitions and motion effects | InVideo AI offers template-based movements rather than fully customizable camera simulations. |
| Detailed scene composition | Template-driven scene assembly | Scenes are built from stock media and templates, reducing fine-grained control over individual elements. |
| Kuaishou-backed AI research | User-friendly, no-experience-needed interface | InVideo AI prioritizes accessibility over cutting-edge AI research, making it easier for beginners. |
| Contact-based pricing | Freemium pricing model | InVideo AI offers transparent tiered pricing, unlike Kling AI's opaque contact-based model. |
Data Transfer Guide
Kling AI does not offer a direct export function for project data, so data transfer is manual. First, download all your final video files from Kling AI's interface or cloud storage. Save them locally in an organized folder structure. Next, copy all text prompts, descriptions, and any metadata (like duration or style notes) into a spreadsheet or document. For importing into InVideo AI, you cannot directly upload these files, but you can use the saved prompts as a starting point. In InVideo AI, create new projects and input your Kling AI prompts into the text-to-video tool. You may need to adjust prompts since InVideo AI expects more contextual details for full video generation, including scripting elements. For large libraries, consider batching this process over several sessions.