Free
$0Free plan available.
Minerva is a platform designed to help users create product demos, step-by-step guides, demo videos, and interactive how-tos in multiple languages. It automates content creation, allowing users to build documentation efficiently. Minerva offers features such as AI-powered content creation, video tutorials in multiple languages, in-app interactive guides, and a simplified creation process.
Install the browser extension, capture your workflow, customize the content in Minerva's studio using AI to generate scripts and add visual elements, and then share the guide via images, PDFs, or interactive links.
Minerva automates the guide creation process. You simply open your app, perform your workflow, and Minerva automatically generates a how-to guide, including a video in your chosen language.
Minerva offers flexible sharing options, including the ability to download images, PDF files, and videos. You can also link directly to interactive guides, embed them in your app or help center using iFrames, or share them via public pages.
Minerva leverages AI to write video scripts, translate guides into multiple languages, and generate video narration in your own voice, which saves time and effort.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Minerva.
Compare Gemini 1.0 Pro Deprecated 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 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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