AI Map Maker is a cartography assistant that designs fantasy world maps, kingdom maps, dungeon layouts, city plans, and nautical charts with geographically plausible terrain, rivers, and settlements. Unlike general image generators, it applies hydrology, rain shadows, and settlement logic by default, so rivers run downhill and harbors sit where ships can reach them. Built on Jenova's unified platform, it pairs models from OpenAI, Anthropic, Google, and more with image generation and research tools.
Map Maker produces world, regional, city, dungeon, nautical, historical, treasure, transit, sci-fi planet, and floor-plan maps from a single brief. A map type and a subject are enough to begin. If the request is too vague, the AI asks one question about type and purpose before generating.
Map Maker treats missing details as design decisions rather than blanks to fill at random. Rivers start in highlands and end in deltas, lakes keep a single outflow, and mountain ranges form tectonically plausible belts. Cities land at confluences and natural harbors, and rain shadows shape where forests give way to scrubland. Each map arrives with short design notes explaining choices such as a capital's placement or a road that follows a river valley instead of crossing a ridge.
Map Maker sets style direction, naming conventions, and geographic rules early in a larger project. It then produces related continent, regional, and capital-city maps that agree with one another. A port shown on the world map appears on the same coastline in the regional view, and a river keeps its course at every zoom level.
Map Maker researches actual geography and the relevant cartographic tradition before illustrating a real place. It uses Google Search, Google Maps, and Google Images for reference, then renders period conventions such as compass roses, rhumb lines, depth markings, and engraved line work. Portolan and Age-of-Exploration styling are available for lessons, exhibits, or historical fiction.
Map Maker reviews uploaded maps and photographed sketches in priority order: geographic plausibility first, then visual hierarchy, style consistency, and polish. Feedback opens with what works before naming the issues to fix, and a cleaned-up version can follow. Revisions to generated maps are targeted, so a requested forest appears without the continent being rearranged. For label-heavy work, the AI can deliver a label-free version ready for annotation in Canva, Figma, or a dedicated map editor.
| Traditional Approach | Map Maker |
|---|---|
| Rivers fork inland; biomes clash | Rivers descend to deltas; biomes blend |
| Hours placing stamps in editors | Terrain reasoned from a one-line brief |
| Capital drifts between map scales | Same location from continent to city |
| One fix forces full regeneration | Targeted edits keep approved terrain |
Persistent World Memory vs. Drifting Geography A generic chatbot forgets which bank of the river the capital sits on, what the northern mountains were called, and which ink style the campaign uses. When that context disappears, the regional map contradicts the world map and players notice immediately. Map Maker keeps the established naming conventions, river courses, borders, and style rules across sessions, so the tenth map in a setting still matches the first.
Multi-Model Access for Logic and Linework Cartography splits into two phases with different needs: reasoning through drainage basins, climate, and settlement placement, then rendering fine linework, hatching, and grid detail. Image models differ noticeably in how they handle thin coastlines, engraved textures, and pixel-art precision. Map Maker draws on models from OpenAI, Anthropic, Google, xAI, DeepSeek, Qwen, and more, rather than locking every phase into one vendor the way ChatGPT is tied to OpenAI or Claude to Anthropic.
A Tool Chain From Brief to Finished Map Map Maker runs as a production workflow rather than a single image prompt. The sequence moves from brief → research and geographic planning → image generation → design notes → targeted revision → label-free export for VTT or editor annotation. Real-world charts add a Google Search and Google Maps research step before anything is drawn.
Cartographic Design Judgment Editors such as Inkarnate, Wonderdraft, and DungeonDraft offer precise control but expect the user to supply all the geographic reasoning. Map Maker applies design principles like "hierarchy with harmony" and "simplicity from sacrifice," letting key features stand out while minor ones recede. The result avoids the two most common amateur failures: crowded clutter and awkward empty space.
Game Masters Build a session zero continent with rival civilizations and exploration hooks, or a three-level crypt as a grid-ready battle map for a D&D campaign. Fortress placement and trade routes suggest where conflicts and adventures will happen.
Fantasy Novelists Produce a black-and-white pen-and-ink frontispiece map with side-profile mountains and calligraphic labels. Plausible geography exposes travel-time contradictions while the manuscript can still change.
Video Game Designers Generate world, regional, and dungeon maps in isometric or pixel-art styles for pitch documents and early level planning.
Teachers and Educators Create period-style harbor charts and historical maps tailored to a specific lesson, rather than hunting through archives for an image that almost fits.
Hobbyist Worldbuilders Get structured feedback on hand-drawn sketches and grow a single idea into a consistent set of connected maps.
Free For exploring Jenova:
Plus ($20/month) For individuals:
Premium ($50/month) For regular users:
Pro ($100/month) For power users:
Max ($200/month) For professionals:
Ultra ($500/month) For heavy professionals:
Enterprise ($1,000/month) For businesses:
All plans are billed monthly with no daily usage caps — your full quota is available immediately on each billing date.
AI Map Maker is a Jenova agent that works like a senior cartographer who is also a worldbuilder. It turns short descriptions into fantasy, historical, dungeon, and city maps where terrain, climate, and settlements follow real geographic logic. Every label, symbol, and style decision is chosen to support what the map will be used for.
Map Maker combines cartographic reasoning, persistent memory, multi-model access, and an integrated tool chain. It remembers your setting's place names, river courses, borders, and chosen style across sessions, so maps at different scales stay consistent. It can draw on models from OpenAI, Anthropic, Google, xAI, DeepSeek, Qwen, and more, matching strong reasoning models to geography planning and the best-suited image model to detailed linework. Research, image generation, critique, and revision run as one workflow instead of separate prompts.
Map Maker uses image generation for rendering, image input for critiquing uploaded sketches, and Google Search, Google Maps, and Google Images for researching real coastlines, harbors, and historical cartographic styles. Finished map sets and worldbuilding references can be organized alongside Google Drive or Notion. Label-free outputs are designed for finishing in Canva, Figma, a dedicated map editor, or a virtual tabletop.
Only partially. Image models reliably render short, bold labels of one to four words but struggle with small text and long names. Map Maker keeps place names brief and can deliver a label-free version when a map needs dense or exact labeling, which you then annotate in your own design tool.
Yes. Map Maker produces 1:1 dungeon layouts with rooms, corridors, doors, elevation changes, and a square combat grid designed for tactical clarity. Styles range from gothic and parchment to clean schematic, and label-free output works well for VTT annotation.
No. Map Maker produces researched, illustrated maps for teaching, storytelling, and display, not navigation data. Real-world place information changes constantly, so use dedicated GIS or GPS tools for routing, surveying, or spatial analysis.
Map Maker suits creators who want the geographic reasoning handled for them and a usable draft quickly. Dedicated editors remain stronger for pixel-level manual control over every stamp and label. Many creators combine both, generating plausible terrain with Map Maker and finishing details in their preferred editor.
No. A map type and a subject are enough, and Map Maker supplies the terrain logic most non-cartographers find difficult. The design notes attached to each map explain decisions like rain-shadow deserts or harbor-side capitals, which gradually builds your own worldbuilding knowledge.
Yes, within the limits of an illustrated map. Because Map Maker places mountains, rivers, and roads according to geographic logic, implausible journeys and travel-time contradictions become visible early. Revisions are easy as the plot evolves, though final distances should still be checked against your story's timeline.
Yes. Map Maker creates world, regional, and dungeon maps in styles from isometric to pixel art, useful for pitch decks and early level layouts. It focuses on the cartography itself rather than gameplay systems such as progression or level flow.
Yes. Map Maker has full feature parity across web, iOS, and Android, so you can photograph a hand-drawn map for critique and keep refining it later on desktop. Voice input also lets you describe coastlines, cities, and mountain ranges aloud. Download the app for iOS or Android.
Yes. Conversations and uploaded sketches in Map Maker are never used to train public AI models, are encrypted in transit and at rest, and are not sold or shared with advertisers. Your campaign secrets and unreleased manuscript geography remain yours.
Map Maker is part of Jenova, the most powerful AI agent platform in the world. Jenova provides unified access to leading AI models from OpenAI, Anthropic, Google, xAI, DeepSeek, Qwen, and more — alongside intelligent tool integrations for end-to-end task completion. The platform features persistent cross-session memory, automated workflow orchestration, and full parity across web, iOS, and Android. Developed by Azeroth Inc., a New York-based technology company, Jenova serves users in over 70 countries.
For developers, the Jenova Agent API provides a fully-managed agent backend with built-in orchestration, multi-model routing, memory, storage, and MCP tool support — replacing the need to stitch together raw LLM APIs, vector databases, and custom tool servers.
Contact: [email protected]