Slatebox AI, text-to-diagrams
Create editable visualizations with AI and natural language
Slatebox AI, text-to-diagrams launched on May 9, 2023 with 77 votes, #1,018 of 4,910 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 3 years on.
What it does
Produce editable diagrams and 100s of other visualizations from one text prompt. Or integrate Slatebox into your own ecosystem to auto-document and diagram (coming soon). Slatebox is a visual collaboration platform with AI superpowers.
Prompt to infographic, mindmap, timeline, pitch deck, and more. Present your visual with one click.
With a prompt, instantly craft visual stories with mind maps, infographics, timelines, pitch decks, and more. Turn your data into page-turning stories that zoom, pan, and pop. Drop in a PDF and transform it into a stunning presentation in just a click. Once the slate is created, you can change anything about it. Make it yours. Create dynamic, Prezi-style presentations with a single click. Let AI suggest the best ways to visualize and present your content. Work together with multi-cursor support on an infinite canvas. Start with SWOT analyses, Venn diagrams, or build your own customfrom slatebox.com
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Slatebox, editable visuals based on natural language2023 · slatebox.com · ▲8Hey HN - my name is Tim and I created Slatebox. Slatebox is a visualization collaboration platform that lets you create editable mind-maps, diagrams, SWOT Analyses (w 100s of other templates) and more -- all based on natural language through AI. It's like Miro but with AI superpowers. Would love to know what you think. I'll be releasing a team pro version soon where teams can auto-diagram their internal ecosystem, including code repositories.
Artifacts by DataboxJul 2026 · databox.com · ▲409Ask your AI Analyst and get back a ready-to-share report

Microsoft releases Flint, a visualization language for AI agentsJul 2026 · microsoft.github.io · ▲350Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make…


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