Users paste text, write content, or import a supported document into Napkin. They generate a visual or presentation, choose among layouts or design options, edit the result, and export it for use in presentation, document, web, or social-media workflows.
What is Napkin AI?
Napkin AI is a web application from Second Layer, Inc. that helps users turn written information into visual communication. Instead of starting with a blank slide or manually drawing a diagram, a user can provide notes, a report, or a presentation outline and ask Napkin to create an editable visual structure.
The product has two main experiences: Napkin Visuals generates individual graphics such as diagrams and infographics, while Napkin Slides creates a complete presentation around the user's ideas, narrative, audience, and goals. The results remain editable, so Napkin is closer to a text-to-visual workspace than to a simple image generator.
How people use Napkin AI
A typical workflow begins with pasted text or an imported DOC, PPT, PDF, Markdown, or HTML file. Users can select content, generate visual options, choose a layout or style, and then revise the output. Editing can include changing wording, colors, fonts, icons, layouts, and individual visual elements. The finished work can be exported for use in documents, presentations, websites, or social media.
For example, a consultant might turn a project summary into a process diagram and an executive presentation. A product team might convert research notes into a customer journey or roadmap. An educator could use written lesson material as the basis for a visual explanation. The tool is particularly practical when the source material already exists and the main challenge is organizing it visually.
Core capabilities
Text-to-visual generation
Napkin can create flowcharts, mind maps, diagrams, infographics, and charts from written content. Its value is not simply producing a decorative graphic; it proposes structures that help communicate relationships, sequences, comparisons, and summaries. Users can generate several visual directions and continue editing the selected result.
Editable presentations
Napkin Slides creates presentation decks from ideas, notes, or imported material. The slides are intended to remain editable rather than being delivered only as flattened images. This makes Napkin relevant to users comparing it with AI presentation products such as Gamma or Beautiful.ai, although Napkin's central emphasis is turning content into visual explanations and diagrams.
Imports, exports, and brand controls
Supported imports include DOC, PPT, PDF, Markdown, and HTML files. Visuals and presentations can be exported as PNG, PDF, PPT, or SVG, subject to plan and export restrictions. Exported presentations can be continued in applications such as PowerPoint, Google Slides, and Keynote.
Users can save brand colors, fonts, and styles for reuse across projects. This is useful for teams that need consistent visual communication without manually restyling every diagram. The product is more focused on structured communication than on the broad design toolkit offered by platforms such as Canva Magic Studio.
Team collaboration and API access
Teamspaces support shared work, comments, editing, member management, permissions, and administrative settings. Napkin also provides account-based API access for connecting text-to-visual generation to external tools and workflows. The available research verifies API access, but not a broad catalog of native third-party connectors or integrations.
Who is Napkin AI for?
Napkin AI is a good fit for consultants, founders, marketers, educators, sales teams, product groups, and business professionals who regularly need to explain ideas visually. It can reduce the manual work involved in turning reports, meeting notes, proposals, or strategy documents into diagrams and decks.
It is less suitable for someone seeking advanced statistical visualization, a full graphic-design application, video or audio production, or a general-purpose AI assistant. It also does not replace specialist presentation design in situations where precise art direction and extensive layout control are required.
Pricing and access
Napkin has an ongoing Free plan with 500 AI credits per week, unlimited visual editing, supported file imports, and PNG and PDF exports. Free-plan visuals include Napkin branding and have more limited export options. Paid plans currently start with Plus at $9 per person per month when billed monthly. Pro is listed at $22 per person per month, while annual billing is advertised as 25% cheaper than monthly billing. Enterprise pricing is custom.
Credits are used when generating new visuals or slides, while editing existing content does not consume credits. Plus includes 10,000 AI credits per month and Pro includes 30,000. Subscription credits do not roll over, although purchased top-up credits do not expire. Because pricing, export allowances, and credit policies can change, users should confirm the current plan details before subscribing.
Platforms and practical limitations
Napkin is primarily a browser-based service. A desktop browser is recommended for visual generation. Mobile web access supports viewing existing work and creating or editing presentations, but visual generation is not currently available on mobile according to the product's public FAQ. There is no verified dedicated native mobile or desktop application.
Napkin Slides is documented as being in beta, and generated layouts may require review and manual correction. The product does not expose exact underlying model selection, so users cannot choose a particular AI model for a generation task. Output quality also depends on the clarity and structure of the source material: ambiguous or poorly organized text may produce visuals that need substantial editing.
The tool's credit-based generation model is another important constraint. Frequent experimentation can consume credits, particularly when users repeatedly regenerate visuals or slides. Napkin is therefore most efficient when users provide reasonably focused source content and treat generation as a starting point rather than a finished design.
Privacy and data considerations
Napkin states that customer data is encrypted and private and that users can opt out of sharing data for product improvement and AI model training. Teamspace administrators can control related data-use preferences. The company discloses OpenAI, Anthropic, and Google AI services as AI inference subprocessors, but does not disclose the exact models or routing used.
Retention is not represented by one universal period for all customer content. Napkin's subprocessor information indicates that provider-specific operational or safety retention may apply, including up to 30 days in relevant circumstances for some OpenAI and Anthropic API data. Organizations handling confidential material should review Napkin's privacy policy, subprocessor disclosure, terms, and team administration settings before importing sensitive documents.
Is Napkin AI a good fit?
Napkin AI is strongest when the input is already written and the desired output is an editable explanation: a process, framework, summary, diagram, infographic, or presentation. It occupies a space between document-to-presentation tools and visual whiteboarding products such as Miro. Its distinction is the direct path from prose to structured visual content, combined with the ability to edit, brand, collaborate, and export the result.
It is a sensible choice for teams that repeatedly convert business information into visual communication. Users who need advanced data analysis, highly precise design controls, native applications, mobile generation, or unrestricted creative production should treat it as a specialized visual communication tool rather than a complete design or productivity suite.
