Free
$0Free plan available.
Mapify is an AI mind map generator that supports summarizing any content into visual mind maps within seconds. It supports a wide range of input formats, including YouTube videos, PDF documents, images, audio files, articles, web pages, and more. Powered by advanced LLMs, Mapify allows AI chatting for step-by-step generation and multiple language translation. Mapify is a versatile AI mind mapping tool designed to boost productivity across learning, research, and content creation.
Select your content and click Mapify to generate a mind map in seconds. You can also upload files in various formats. The resulting mind maps support real-time dragging, editing, sharing, and exporting.
Mapify can convert PDFs, Word documents, PowerPoint presentations, YouTube videos, images, audio files, and web pages into mind maps.
Yes, Mapify supports real-time dragging, editing, sharing, and exporting of mind maps, facilitating collaborative brainstorming and knowledge organization.
Mapify is powered by models such as GPT-4o, Claude 3.5, and other leading LLMs.
Yes, AI-generated mind maps can be edited in real-time, including dragging, sharing, and exporting.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Mapify.
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 1.5 Flash Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus general-purpose AI workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 1.5 Flash Vision Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus general-purpose AI 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.
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