# City Map Poster Generator
Generate beautiful, minimalist map posters for any city in the world.
## Examples
| Country | City | Theme | Poster |
|:------------:|:--------------:|:---------------:|:------:|
| USA | San Francisco | sunset |
|
| Spain | Barcelona | warm_beige |
|
| Italy | Venice | blueprint |
|
| Japan | Tokyo | japanese_ink |
|
| India | Mumbai | contrast_zones |
|
| Morocco | Marrakech | terracotta |
|
| Singapore | Singapore | neon_cyberpunk |
|
| Australia | Melbourne | forest |
|
| UAE | Dubai | midnight_blue |
|
| USA | Seattle | emerald |
|
## Installation
### With uv (Recommended)
Make sure [uv](https://docs.astral.sh/uv/) is installed. Running the script by prepending `uv run` automatically creates and manages a virtual environment.
```bash
# First run will automatically install dependencies
uv run ./create_map_poster.py --city "Paris" --country "France"
# Or sync dependencies explicitly first (using locked versions)
uv sync --locked
uv run ./create_map_poster.py --city "Paris" --country "France"
```
### With pip + venv
```bash
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
pip install -r requirements.txt
```
## Usage
### Generate Poster
If you're using `uv`:
```bash
uv run ./create_map_poster.py --city --country [options]
```
Otherwise (pip + venv):
```bash
python create_map_poster.py --city --country [options]
```
### Required Options
| Option | Short | Description |
|--------|-------|-------------|
| `--city` | `-c` | City name (used for geocoding) |
| `--country` | `-C` | Country name (used for geocoding) |
### Optional Flags
| Option | Short | Description | Default |
|--------|-------|-------------|---------|
| **OPTIONAL:** `--latitude` | `-lat` | Override latitude center point (use with --longitude) | |
| **OPTIONAL:** `--longitude` | `-long` | Override longitude center point (use with --latitude) | |
| **OPTIONAL:** `--country-label` | | Override country text displayed on poster | |
| **OPTIONAL:** `--theme` | `-t` | Theme name | terracotta |
| **OPTIONAL:** `--distance` | `-d` | Map radius in meters | 18000 |
| **OPTIONAL:** `--list-themes` | | List all available themes | |
| **OPTIONAL:** `--all-themes` | | Generate posters for all available themes | |
| **OPTIONAL:** `--width` | `-W` | Image width in inches | 12 (max: 20) |
| **OPTIONAL:** `--height` | `-H` | Image height in inches | 16 (max: 20) |
### Multilingual Support - i18n
Display city and country names in your language with custom fonts from google fonts:
| Option | Short | Description |
|--------|-------|-------------|
| `--display-city` | `-dc` | Custom display name for city (e.g., "東京") |
| `--display-country` | `-dC` | Custom display name for country (e.g., "日本") |
| `--font-family` | | Google Fonts family name (e.g., "Noto Sans JP") |
**Examples:**
```bash
# Japanese
python create_map_poster.py -c "Tokyo" -C "Japan" -dc "東京" -dC "日本" --font-family "Noto Sans JP"
# Korean
python create_map_poster.py -c "Seoul" -C "South Korea" -dc "서울" -dC "대한민국" --font-family "Noto Sans KR"
# Arabic
python create_map_poster.py -c "Dubai" -C "UAE" -dc "دبي" -dC "الإمارات" --font-family "Cairo"
```
**Note**: Fonts are automatically downloaded from Google Fonts and cached locally in `fonts/cache/`.
### Resolution Guide (300 DPI)
Use these values for `-W` and `-H` to target specific resolutions:
| Target | Resolution (px) | Inches (-W / -H) |
|--------|-----------------|------------------|
| **Instagram Post** | 1080 x 1080 | 3.6 x 3.6 |
| **Mobile Wallpaper** | 1080 x 1920 | 3.6 x 6.4 |
| **HD Wallpaper** | 1920 x 1080 | 6.4 x 3.6 |
| **4K Wallpaper** | 3840 x 2160 | 12.8 x 7.2 |
| **A4 Print** | 2480 x 3508 | 8.3 x 11.7 |
### Usage Examples
#### Basic Examples
```bash
# Simple usage with default theme
python create_map_poster.py -c "Paris" -C "France"
# With custom theme and distance
python create_map_poster.py -c "New York" -C "USA" -t noir -d 12000
```
#### Multilingual Examples (Non-Latin Scripts)
Display city names in their native scripts:
```bash
# Japanese
python create_map_poster.py -c "Tokyo" -C "Japan" -dc "東京" -dC "日本" --font-family "Noto Sans JP" -t japanese_ink
# Korean
python create_map_poster.py -c "Seoul" -C "South Korea" -dc "서울" -dC "대한민국" --font-family "Noto Sans KR" -t midnight_blue
# Thai
python create_map_poster.py -c "Bangkok" -C "Thailand" -dc "กรุงเทพมหานคร" -dC "ประเทศไทย" --font-family "Noto Sans Thai" -t sunset
# Arabic
python create_map_poster.py -c "Dubai" -C "UAE" -dc "دبي" -dC "الإمارات" --font-family "Cairo" -t terracotta
# Chinese (Simplified)
python create_map_poster.py -c "Beijing" -C "China" -dc "北京" -dC "中国" --font-family "Noto Sans SC"
# Khmer
python create_map_poster.py -c "Phnom Penh" -C "Cambodia" -dc "ភ្នំពេញ" -dC "កម្ពុជា" --font-family "Noto Sans Khmer"
```
#### Advanced Examples
```bash
# Iconic grid patterns
python create_map_poster.py -c "New York" -C "USA" -t noir -d 12000 # Manhattan grid
python create_map_poster.py -c "Barcelona" -C "Spain" -t warm_beige -d 8000 # Eixample district
# Waterfront & canals
python create_map_poster.py -c "Venice" -C "Italy" -t blueprint -d 4000 # Canal network
python create_map_poster.py -c "Amsterdam" -C "Netherlands" -t ocean -d 6000 # Concentric canals
python create_map_poster.py -c "Dubai" -C "UAE" -t midnight_blue -d 15000 # Palm & coastline
# Radial patterns
python create_map_poster.py -c "Paris" -C "France" -t pastel_dream -d 10000 # Haussmann boulevards
python create_map_poster.py -c "Moscow" -C "Russia" -t noir -d 12000 # Ring roads
# Organic old cities
python create_map_poster.py -c "Tokyo" -C "Japan" -t japanese_ink -d 15000 # Dense organic streets
python create_map_poster.py -c "Marrakech" -C "Morocco" -t terracotta -d 5000 # Medina maze
python create_map_poster.py -c "Rome" -C "Italy" -t warm_beige -d 8000 # Ancient layout
# Coastal cities
python create_map_poster.py -c "San Francisco" -C "USA" -t sunset -d 10000 # Peninsula grid
python create_map_poster.py -c "Sydney" -C "Australia" -t ocean -d 12000 # Harbor city
python create_map_poster.py -c "Mumbai" -C "India" -t contrast_zones -d 18000 # Coastal peninsula
# River cities
python create_map_poster.py -c "London" -C "UK" -t noir -d 15000 # Thames curves
python create_map_poster.py -c "Budapest" -C "Hungary" -t copper_patina -d 8000 # Danube split
# Override center coordinates
python create_map_poster.py --city "New York" --country "USA" -lat 40.776676 -long -73.971321 -t noir
# List available themes
python create_map_poster.py --list-themes
# Generate posters for every theme
python create_map_poster.py -c "Tokyo" -C "Japan" --all-themes
```
### Distance Guide
| Distance | Best for |
|----------|----------|
| 4000-6000m | Small/dense cities (Venice, Amsterdam center) |
| 8000-12000m | Medium cities, focused downtown (Paris, Barcelona) |
| 15000-20000m | Large metros, full city view (Tokyo, Mumbai) |
## Themes
17 themes available in `themes/` directory:
| Theme | Style |
|-------|-------|
| `gradient_roads` | Smooth gradient shading |
| `contrast_zones` | High contrast urban density |
| `noir` | Pure black background, white roads |
| `midnight_blue` | Navy background with gold roads |
| `blueprint` | Architectural blueprint aesthetic |
| `neon_cyberpunk` | Dark with electric pink/cyan |
| `warm_beige` | Vintage sepia tones |
| `pastel_dream` | Soft muted pastels |
| `japanese_ink` | Minimalist ink wash style |
| `emerald` | Lush dark green aesthetic |
| `forest` | Deep greens and sage |
| `ocean` | Blues and teals for coastal cities |
| `terracotta` | Mediterranean warmth |
| `sunset` | Warm oranges and pinks |
| `autumn` | Seasonal burnt oranges and reds |
| `copper_patina` | Oxidized copper aesthetic |
| `monochrome_blue` | Single blue color family |
## Output
Posters are saved to `posters/` directory with format:
```text
{city}_{theme}_{YYYYMMDD_HHMMSS}.png
```
## Adding Custom Themes
Create a JSON file in `themes/` directory:
```json
{
"name": "My Theme",
"description": "Description of the theme",
"bg": "#FFFFFF",
"text": "#000000",
"gradient_color": "#FFFFFF",
"water": "#C0C0C0",
"parks": "#F0F0F0",
"road_motorway": "#0A0A0A",
"road_primary": "#1A1A1A",
"road_secondary": "#2A2A2A",
"road_tertiary": "#3A3A3A",
"road_residential": "#4A4A4A",
"road_default": "#3A3A3A"
}
```
## Project Structure
```text
map_poster/
├── create_map_poster.py # Main script
├── font_management.py # Font loading and Google Fonts integration
├── themes/ # Theme JSON files
├── fonts/ # Font files
│ ├── Roboto-*.ttf # Default Roboto fonts
│ └── cache/ # Downloaded Google Fonts (auto-generated)
├── posters/ # Generated posters
└── README.md
```
## Hacker's Guide
Quick reference for contributors who want to extend or modify the script.
### Contributors Guide
- Bug fixes are welcomed
- Don't submit user interface (web/desktop)
- Don't Dockerize for now
- If you vibe code any fix please test it and see before and after version of poster
- Before embarking on a big feature please ask in Discussions/Issue if it will be merged
### Architecture Overview
```text
┌─────────────────┐ ┌──────────────┐ ┌─────────────────┐
│ CLI Parser │────▶│ Geocoding │────▶│ Data Fetching │
│ (argparse) │ │ (Nominatim) │ │ (OSMnx) │
└─────────────────┘ └──────────────┘ └─────────────────┘
│
┌──────────────┐ ▼
│ Output │◀────┌─────────────────┐
│ (matplotlib)│ │ Rendering │
└──────────────┘ │ (matplotlib) │
└─────────────────┘
```
### Key Functions
| Function | Purpose | Modify when... |
|----------|---------|----------------|
| `get_coordinates()` | City → lat/lon via Nominatim | Switching geocoding provider |
| `create_poster()` | Main rendering pipeline | Adding new map layers |
| `get_edge_colors_by_type()` | Road color by OSM highway tag | Changing road styling |
| `get_edge_widths_by_type()` | Road width by importance | Adjusting line weights |
| `create_gradient_fade()` | Top/bottom fade effect | Modifying gradient overlay |
| `load_theme()` | JSON theme → dict | Adding new theme properties |
| `is_latin_script()` | Detects script for typography | Supporting new scripts |
| `load_fonts()` | Load custom/default fonts | Changing font loading logic |
### Rendering Layers (z-order)
```text
z=11 Text labels (city, country, coords)
z=10 Gradient fades (top & bottom)
z=3 Roads (via ox.plot_graph)
z=2 Parks (green polygons)
z=1 Water (blue polygons)
z=0 Background color
```
### OSM Highway Types → Road Hierarchy
```python
# In get_edge_colors_by_type() and get_edge_widths_by_type()
motorway, motorway_link → Thickest (1.2), darkest
trunk, primary → Thick (1.0)
secondary → Medium (0.8)
tertiary → Thin (0.6)
residential, living_street → Thinnest (0.4), lightest
```
### Typography & Script Detection
The script automatically detects text scripts to apply appropriate typography:
- **Latin scripts** (English, French, Spanish, etc.): Letter spacing applied for elegant "P A R I S" effect
- **Non-Latin scripts** (Japanese, Arabic, Thai, Korean, etc.): Natural spacing for "東京" (no gaps between characters)
Script detection uses Unicode ranges (U+0000-U+024F for Latin). If >80% of alphabetic characters are Latin, spacing is applied.
### Adding New Features
**New map layer (e.g., railways):**
```python
# In create_poster(), after parks fetch:
try:
railways = ox.features_from_point(point, tags={'railway': 'rail'}, dist=dist)
except:
railways = None
# Then plot before roads:
if railways is not None and not railways.empty:
railways = railways.to_crs(g_proj.graph["crs"])
railways.plot(ax=ax, color=THEME['railway'], linewidth=0.5, zorder=2.5)
```
**New theme property:**
1. Add to theme JSON: `"railway": "#FF0000"`
2. Use in code: `THEME['railway']`
3. Add fallback in `load_theme()` default dict
### Typography Positioning
All text uses `transform=ax.transAxes` (0-1 normalized coordinates):
```text
y=0.14 City name (spaced letters for Latin scripts)
y=0.125 Decorative line
y=0.10 Country name
y=0.07 Coordinates
y=0.02 Attribution (bottom-right)
```
### Useful OSMnx Patterns
```python
# Get all buildings
buildings = ox.features_from_point(point, tags={'building': True}, dist=dist)
# Get specific amenities
cafes = ox.features_from_point(point, tags={'amenity': 'cafe'}, dist=dist)
# Different network types
G = ox.graph_from_point(point, dist=dist, network_type='drive') # roads only
G = ox.graph_from_point(point, dist=dist, network_type='bike') # bike paths
G = ox.graph_from_point(point, dist=dist, network_type='walk') # pedestrian
```
### Performance Tips
- Large `dist` values (>20km) = slow downloads + memory heavy
- Cache coordinates locally to avoid Nominatim rate limits
- Use `network_type='drive'` instead of `'all'` for faster renders
- Reduce `dpi` from 300 to 150 for quick previews