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Napkin

Napkin reads text you have already written and offers diagrams, flowcharts, mind maps and infographics to match — no prompt engineering involved. Everything it generates stays editable, and it exports to PPT, PDF, PNG and SVG.

ProductivityPresentationDesign Tool#Content Creation#Data Visualization#Visualization
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Aug 22, 2026
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Napkin Product Information

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What is Napkin?

Napkin turns written text into visuals — diagrams, flowcharts, mind maps, infographics and data charts — and it does so from writing you already have rather than from a prompt you compose for the occasion. That distinction is the whole product. Most generative tools ask you to describe the picture you want; Napkin asks you to paste the paragraph you already wrote, then offers visuals that match what it says. Napkin Visuals handles the diagram side, while Napkin Slides, still marked Beta, turns an idea into a complete, ready-to-present deck.

The company behind it is not obvious from the branding: the terms of use name Second Layer, Inc. as the company that owns the platform, operating from Los Altos, California. Founders Pramod Sharma and Jerome Scholler previously built the AI gaming company Osmo, and the team is small, spread across the US, France and India. TechCrunch reported the company leaving stealth in August 2024 with $10 million in seed funding from Accel and CRV, at which point it had ten employees, and Inc. reported that Osmo, launched in 2013, was worth $120 million by the time it was acquired in 2019.

The origin story explains the design. The founders first tried to recreate two people sketching ideas on paper, digitally, and found that starting from drawing was too high a barrier for the people they wanted to help. Only when large language models matured did a text-first entry point become viable. Sharma described the philosophy as a generation-first experience where editing complements the generation — you get something immediately, then shape it, rather than facing a blank canvas.

A note on the name before you go looking for reviews: several unrelated products are also called Napkin. This page is about napkin.ai. napkin.one is an idea-collection app and napkin.io is a serverless API platform — neither is related to this product.

Core Features

  • Visual generation without prompting: you write, paste or import your text, then click the Autospark icon and pick from the visuals it proposes. Imports accept PPT, DOC, PDF, HTML and MD files, so an existing document can become the source material directly.
  • A range of visual types from one input: diagrams, flowcharts, mind maps, infographics and data charts, with the system offering several candidates so you choose the framing rather than accepting the first result. The tool looks like a standard text editor but auto-generates editable diagrams, graphs and charts from writing that already exists.
  • Full editability after generation: colors, fonts, layouts and icons are all editable, individual elements can be reshaped, and nothing is locked once a visual is generated. This matters more than it sounds, because it is what separates Napkin from image generators whose output you can only regenerate, not adjust.
  • Napkin Slides for full decks: the Beta product builds a complete presentation, and the company describes it as collaborating with you before building anything rather than producing a deck unprompted.
  • Export into the tools you already use: PPT, PDF, PNG and SVG. SVG in particular means the output stays vector — resizable and further editable in design software — though it sits behind a paid plan.
  • Broad language coverage for output: you can create visuals in more than 60 languages regardless of your input language, though the interface itself is localised only into English, French, Spanish, Italian, Korean and Portuguese.
  • Team features: invite people into a shared Teamspace, edit together in real time, and leave comments and highlights directly on a visual.
  • Brand control on paid tiers: three brand styles on Plus, unlimited custom branding plus your own uploaded fonts on Pro.

Use Cases

  1. Illustrating a document you have already finished: the single best fit. You have a report, a strategy memo or a piece of documentation, and it is all prose. Napkin reads what is there and offers visuals per section, so illustration becomes a pass over finished work rather than a separate project.
  2. Preparing internal presentations quickly: turning a written proposal into slides for a meeting where the point is clarity rather than visual polish. Napkin positions itself upstream of the tools you already use rather than as a replacement for them — export to PPT and finish in PowerPoint or Google Slides.
  3. Adding diagrams to blog posts and newsletters: a written piece gains a flowchart or a concept diagram without commissioning a designer. The site names Medium, Substack and WordPress as destinations, and export to PNG covers most publishing platforms.
  4. Teaching and training materials: converting explanatory text into diagrams that make a process or a relationship legible. Several of the testimonials on the site come from educators, and the free tier's unlimited PNG and PDF export suits classroom use without a budget.
  5. Social posts that need a visual: LinkedIn and X posts where a diagram earns more attention than a paragraph. This is a common enough use that the site lists it explicitly alongside the relevant platforms.
  6. Making sense of imported material: because it imports PDF, DOC and PPT, you can point it at a document someone else wrote and generate visuals to summarise it — useful for reviewing dense material rather than authoring it.

How to use Napkin

  1. Sign up at napkin.ai. There is no download; it runs in the browser, and the free tier gives you credits immediately.
  2. Get your text into the canvas — type it, paste it, or import a PPT, DOC, PDF, HTML or MD file. The more structured and specific the text, the better the result, for reasons covered in the limitations below.
  3. Select the passage you want illustrated and click the Autospark icon. Select deliberately: credit consumption is tied to how much text you select, not to how many times you click.
  4. Review the candidates. The system offers several visuals per generation, and picking the right framing at this stage saves more effort than editing a poor choice afterwards.
  5. Edit until it fits. Change colors, swap icons, adjust the layout, reshape individual elements. On paid tiers, apply a saved brand style so this step becomes near-automatic across a document.
  6. Export in the format your destination needs — PNG or PDF on any tier, PPT or SVG on Plus and above. Choose SVG if the visual may need resizing or further editing later.
  7. If you are working with colleagues, move the file into a Teamspace so others can edit and comment in place instead of exchanging exported images.

Tips & Best Practices

  • Give it specific text, not vague text. This is the single most consequential habit. TechCrunch's reviewer found that with nebulous input the tool produces visuals unrelated to the source, and in one case invented content outright. Text that names concrete steps, categories or relationships produces visuals grounded in what you actually wrote.
  • Select only the passage you need illustrated. Because charging is roughly per word selected, illustrating a whole page when you needed one paragraph costs many times more for no benefit.
  • Structure your prose before generating. A paragraph that already reads as a sequence, a comparison or a hierarchy gives the model an obvious shape to work with. If your text has no structure, the diagram will invent one.
  • Always check the output against your own text. Treat every generated visual as a draft claim about your content, not a rendering of it. This is the direct practical response to the hallucination risk an independent reviewer documented.
  • Reach for editing before regenerating. Regeneration costs credits; editing does not. Swapping an icon or adjusting a layout is usually faster than hunting for a better generation.
  • Export SVG when the destination is uncertain. PNG locks resolution; SVG stays editable and scalable. If your organisation may resize or restyle the visual later, the paid tier pays for itself here.
  • Set up brand styles early if you are on a paid plan. Doing it once means every subsequent visual across a long document comes out consistent, rather than being corrected one at a time.
  • Decide about data sharing deliberately. The default is that your data may be used to train Napkin's models unless you opt out, which is worth settling before you paste anything confidential.

Who is Napkin for?

  • Writers of business documents: the core audience — people producing reports, memos, proposals and strategy documents who want them to be read rather than skimmed.
  • Consultants and analysts: those whose deliverable is explanation, and for whom a clear diagram is often the deliverable's whole value.
  • Educators and trainers: teachers turning explanatory text into visuals, well served by the free tier's unlimited PNG and PDF export.
  • Content marketers and bloggers: writers who need a visual per post and cannot brief a designer for each one.
  • Product and project managers: people documenting processes, timelines and decision flows as part of routine work.
  • Small teams without a designer: groups where the alternative is not a better diagram but no diagram at all — the comparison that most flatters this tool.
  • Non-native English speakers presenting internationally: the 60-plus output languages mean the visual can be produced in the audience's language regardless of the source.

Napkin fits poorly for professional designers who need precise control over composition, for anyone whose brand demands a distinctive visual identity, for data analysis proper as opposed to illustrating figures already stated in text, and for mobile-first workflows.

Platforms

  • Browser-based web app, with no installation required — the tool runs entirely at napkin.ai and the company states plainly that nothing needs downloading.
  • Mobile, with a significant caveat: visual generation is not available on mobile at all — you can view work and build presentations from a phone, but the core feature requires a desktop.
  • Import compatibility with PPT, DOC, PDF, HTML and MD, unlimited on every tier including free.
  • Export compatibility with PPT, PDF, PNG and SVG, feeding into PowerPoint, Google Slides, Keynote, Canva, Medium, Substack, WordPress, Google Docs, Word, Notion and Confluence — the destinations the company names directly.
  • Interface languages: English, French, Spanish, Italian, Korean and Portuguese, selectable from the footer.
  • Help resources at a separate help centre domain, with support by email.

Pricing & Plans

Napkin runs on credits rather than seats alone, and the crucial mechanic is how those credits are consumed: roughly 1 credit is charged per word selected for generation. Cost therefore scales with how much text you highlight, not with how many visuals you try — a model that rewards selecting precisely and punishes illustrating whole pages indiscriminately. The company notes this may change for more complex outputs in future.

Three tiers are on offer. Free gives 500 AI credits per week, unlimited editing, unlimited file imports and unlimited PNG and PDF export, but stamps Napkin branding on the visuals. Plus at $9 per person per month raises that to 10,000 credits monthly, adds unlimited PPT and SVG export, three brand styles and removes the branding. Pro at $22 per person per month provides 30,000 credits along with exclusive designs, unlimited custom branding, uploaded fonts and optional credit top-ups. Annual billing saves 25 percent, and an enterprise plan is available through sales. There are currently no non-profit or student discounts, with the company pointing to the free plan instead — worth noting given how much of the testimonial base is educational.

On the administrative side, you can upgrade, downgrade or cancel at any time, and cancelling leaves paid features available until the end of the billing period. Upgrades are charged immediately and prorated; downgrades take effect at the end of the cycle. Failed payments are retried up to eight times over a month before the account drops to free. Reassuringly, your content remains yours regardless of subscription status, and cancelling still leaves you access to everything you created — you lose the paid features, not the work. Team seats are charged per member who accepts an invitation.

Alternatives

  • Canva: far broader design capability and a vastly larger template library, but it does not read your prose and propose diagrams from it. Choose Canva when you know what you want to make; choose Napkin when you want the tool to suggest it.
  • Mermaid and PlantUML: text-to-diagram through explicit syntax rather than AI inference. More precise and free, but you must learn the syntax and specify the diagram exactly.
  • Whimsical and Miro: stronger for collaborative thinking and freeform diagramming, weaker at turning finished prose into a finished visual.
  • Gamma and Tome: closer competitors on the presentation side, generating whole decks from a prompt or outline. They compete directly with Napkin Slides rather than with Napkin Visuals.
  • Venngage and Piktochart: template-driven infographic tools with more polished output but a manual process — you place the content into a design rather than generating the design from content.
  • ChatGPT or Claude with a diagramming step: general models can produce Mermaid syntax you render elsewhere. Cheaper and more flexible, considerably less finished-looking.

The honest framing is that Napkin occupies a narrow but real niche: the gap between "I have written something" and "I need a picture of it", where you would otherwise have made nothing at all.

Limitations & Considerations

Output quality depends heavily on how specific your text is, and independent testing found real failure modes. In TechCrunch's review at launch, the reviewer found that with vague input Napkin "grasps at straws", producing visuals not grounded in the text and in one case inventing pros and cons outright, and described the output as following a generic, homogenous design language. Two caveats belong in both directions: this is one reviewer's hands-on experience rather than a statistical assessment, and it dates from the August 2024 launch, so the product has had time to improve. But it remains the most substantive independent evaluation available, and the underlying risk — a diagram that confidently misrepresents your text — is inherent to the approach rather than a bug that gets fixed.

You own the visual but not its parts. The terms are precise about this: you retain ownership of the generated visual but you do not own the individual components inside it — the icons, illustrations and templates remain Napkin's property. Commercial use of the output as a whole is explicitly permitted, including commercial resale, marketing materials and business presentations. What you may not do is extract an icon or template and use it separately. For most users this is irrelevant; for anyone hoping to harvest design assets, it is a hard stop.

Uniqueness is not guaranteed. Napkin does not guarantee that your output will be unique to you, and states plainly that similar or identical inputs may produce similar or identical outputs for other users. Given that the visuals are assembled from a shared library of design elements, two people writing about the same topic may well end up with near-identical diagrams — a genuine consideration if visual distinctiveness matters to your brand.

No warranty on results. The terms state that all results are provided "as is" and with "all faults", with no warranty as to accuracy, usefulness, completeness or intellectual property rights, and disclaim liability if a third-party AI service the product depends on becomes unavailable.

Data is used for training unless you opt out. The company's own wording is that Napkin will not use your data to train its models if you opt out of data sharing — which means the default is that it may. It does state that contracts with its AI subprocessors prohibit those third parties from training on customer data, which is a meaningful protection, but the first-party default is opt-out rather than opt-in. Anyone pasting confidential material should change this setting before starting.

Mobile cannot generate visuals. This is a genuine functional gap rather than a minor inconvenience, since generation is the entire point of the product. Presentations can be built on a phone; diagrams cannot.

Disputes go to arbitration, not court. Under the terms, disputes are resolved by binding arbitration rather than in court, with carve-outs for qualifying small claims and for intellectual property relief, and both sides must first meet by phone or video for an informal resolution conference before arbitration can begin. For context on where any dispute would be handled: Second Layer, Inc. is based at 626 Jay Street in Los Altos, California, the privacy policy took effect on 7 August 2025, data is processed in the United States, and the service is not intended for anyone under 13.

Credit costs scale with text length, which is easy to underestimate. Because charging is per word selected, a user accustomed to per-generation pricing may burn through an allowance faster than expected when illustrating long documents.

There is almost no public user-review data. Its Trustpilot profile was claimed in August 2026 but carries zero reviews, so there is no rating there to cite, and Product Hunt and G2 were both inaccessible behind bot protection during research. This page therefore cites no user rating at all, because none could be verified. Most search results for "Napkin AI review" are affiliate pages or AI-generated content-farm articles, several of which circulate user and funding figures that do not appear in any first-hand source.

Watch out for the name. Because several unrelated products share the name Napkin, reviews and comparisons found by searching the word alone frequently describe a different tool. Always check the domain.

The company is small and the funding is early-stage. Ten employees at launch and a single $10 million seed round is a normal profile for a startup at this stage, but it is worth weighing if you are considering standardising a team workflow on it.

FAQ

Q1. Is Napkin free to use?

Yes. The free plan gives 500 AI credits per week, unlimited editing, unlimited file imports and unlimited PNG and PDF export. Its main constraints are Napkin branding on the visuals, no PPT or SVG export, and standard icons only. For occasional use it is genuinely workable rather than a token trial.

Q2. Can I use the visuals commercially?

Yes. The terms explicitly permit using generated output for commercial resale, marketing materials, scientific research, educational purposes and business presentations. The one restriction is that you cannot extract the individual components — icons, illustrations, templates — and use them separately outside the visual they appear in, since those remain Napkin's property.

Q3. Do I have to write prompts?

No, and this is the product's central design choice. You supply text you have already written — typed, pasted or imported — and click the Autospark icon on the passage you want illustrated. The system reads the text and proposes matching visuals for you to choose among.

Q4. How are credits actually consumed?

At roughly one credit per word selected for generation, so cost tracks the length of the text you highlight rather than the number of visuals you generate. Selecting a single paragraph rather than a full page is the main way to control spending. The company notes this may change for more complex features later.

Q5. What can I export, and in which formats?

PNG and PDF on every plan including free, plus PPT and SVG on Plus and Pro. SVG matters if you need the visual to stay vector for later resizing or editing in design software.

Q6. Does it work on my phone?

Only partly. You can view existing work and create or edit presentations on mobile, but visual generation is not available there, so the main feature requires a desktop browser.

Q7. Will my content be used to train the AI?

By default it may be. The company states it will not use your data to train its models if you opt out of data sharing, so the opt-out is available but not the default. Separately, it says contractual agreements prevent its AI subprocessors from training their models on customer data.

Q8. What languages does it support?

Visuals and presentations can be produced in more than 60 languages regardless of your input language. The interface itself is available in six: English, French, Spanish, Italian, Korean and Portuguese.

Q9. Who actually operates Napkin?

The terms of use identify Second Layer, Inc. as the owner of the platform, based at 626 Jay Street, Los Altos, California. It was founded by Pramod Sharma and Jerome Scholler, previously of the AI gaming company Osmo, and raised $10 million in seed funding from Accel and CRV in August 2024.

Q10. Is this the same Napkin as the note-taking app?

No. At least three unrelated products use the name. This one is napkin.ai, the text-to-visuals tool. napkin.one is an app for collecting ideas, and napkin.io is a platform for building and deploying serverless APIs. Reviews of those products say nothing about this one.

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