Free
$0Free plan available.
Autoppt is an AI PowerPoint generator designed to create professional presentations quickly and easily. It allows users to generate slideshows by entering a topic or uploading documents like Word or PDF files. Autoppt offers a rich selection of PowerPoint templates and supports online editing, modification, and presentation in over 100 languages.
To use Autoppt, start by entering a topic or uploading a document. Next, select a template that suits your presentation needs. Customize your slides using the built-in online editor, then download and share your final PowerPoint presentation.
Yes, Autoppt provides a free trial and grants access to a selection of free online office tools.
A subscription provides extended access to the AI PPT Generator, including features such as AI-powered PowerPoint creation, PDF summarization, ChatGPT integration, and AI mind mapping. The Pro version includes premium capabilities like PDF uploads and AI-driven PowerPoint generation.
Yes, credit and debit card payments are processed via Fastspring, which maintains PCI Service Provider Level 1 certification for high-level security. PayPal transactions are handled by PayPal (Europe) S.à r.l. et Cie, S.C.A., a licensed credit institution regulated by the Commission de Surveillance du Secteur Financier in Luxembourg.
Yes, you are permitted to use our templates for both personal and commercial projects.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Autoppt.
Compare GPT 5.4 and GPT 5.4 Pro 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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Compare GPT 5.5 and Claude 4.6 Opus across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and Claude 4.6 Sonnet 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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