Free
$0Free plan available.
Clixie AI is an interactive video platform that converts standard video and audio files into dynamic, engaging experiences. Users can enhance content with features like quizzes, chapters, and bookmarks. The platform provides tools for both creating and analyzing interactive media, helping to increase learner engagement while gathering data to inform future content strategies and improve efficiency.
Upload your audio or video file to the Clixie AI platform, where the system will suggest optimal interactivity options to engage your audience. Once configured, you can publish your interactive content in moments.
Yes, Clixie provides a 14-day free trial of the platform.
Yes. You can select from existing packages to accommodate the number of content authors on your team. If you require a custom solution, please contact us for assistance.
Yes, all plans are risk-free. You are eligible for a full refund if you cancel within the first 30 days of an annual subscription or within the first five days of a monthly subscription. You may also downgrade your plan at any time if your needs change.
We accept all major credit cards. For qualifying Enterprise orders, we also accept bank transfers.
Clixie provides dedicated service to all customers. As you move to higher-tier plans, you gain access to increased support options, including priority requests and Zoom consultations.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Clixie AI.
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Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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