Wordlist Autocomplete Plugin

An Obsidian plugin that provides intelligent autocomplete suggestions from JSON wordlist files with domain and category metadata.

Features

• Smart Triggering: Autocomplete after typing 3+ letters
• JSON Wordlists: Support for structured wordlist files with metadata
• Contextual Learning: Learns from your word choices and prioritizes based on context
• Flexible Matching: Prefix, shorthand (e.g., 'orcl' → 'Oracle'), and contains matching
• Rich Metadata: Display domain and category information for each suggestion
• Customizable Ranking: Sort by relevance, frequency, or alphabetically
• Case Preservation: Maintains your input case style

Installation

From Community Plugins (Recommended)

1. Open Obsidian Settings
2. Go to Community Plugins and disable Safe Mode
3. Browse and search for "Wordlist Autocomplete"
4. Install and enable the plugin

Manual Installation

1. Download the latest release files (main.js, manifest.json, styles.css)
2. Create folder VaultFolder/.obsidian/plugins/wordlist-autocomplete/
3. Copy the files into this folder
4. Reload Obsidian and enable the plugin

JSON Wordlist Format

{
  "word": {
    "domain": "Technology",
    "category": "Programming",
    "frequency": 5
  },
  "example": {
    "domain": "General",
    "category": "Common",
    "frequency": 1
  }
}

Usage

1. Configure wordlist folder in plugin settings
2. Enable desired JSON files
3. Start typing - suggestions appear after 3+ letters
4. Use Enter or Space to accept suggestions

Complete Settings Guide

Basic Settings

• Minimum Letters to Trigger (1-10): Number of characters needed before autocomplete appears
• Dictionary Folder: Select folder containing your JSON wordlist files
• Enable Shorthand Matching: Allow typing 'orcl' to match 'Oracle'
• Preserve Case: Match your input case style in suggestions
• Enable Space to Accept: Use Space key to accept suggestions (in addition to Enter)
• Enable Personalized Suggestions: Learn from your word choices and prioritize based on context

Global Suggestion Order

Choose primary sorting method:

• File Order: Sort by the order files appear in settings
• Category Order: Sort by custom category priority within each file
• Frequency: Sort by word frequency (higher frequency first)
• Alphabetical: Sort suggestions alphabetically

Dictionary File Management

• Enable/Disable Files: Toggle individual JSON files on/off
• Drag & Drop Reordering: Change file priority by dragging
• Category Order: Set custom priority for categories within each file
• Enable All/Disable All: Bulk toggle all dictionary files

Advanced Features

• File Correction Command: Scan and correct misspelled words in current file
• Text Transformation Commands:
  • Convert to lowercase
  • Convert to uppercase
  • Capitalize first letter
  • Convert to sentence case
• Contextual Learning: Remembers word usage patterns and context
• Match Types: Supports prefix, shorthand, and contains matching
• Rich Metadata Display: Shows domain and category for each suggestion

Creating Your Own Wordlists

Step 1: Generate Words with ChatGPT

Use this prompt structure with ChatGPT:

Create a list of words for [DOMAIN] in the category [CATEGORY]. 
Format the output as:
-CATEGORY-
[frequency][word]
[frequency][word]
...

Example for Technology domain, Programming category:
-PROGRAMMING-
9algorithm
8function
7variable
6loop
5array

Step 2: Collect Categories

1. Copy ChatGPT output to a .txt file
2. Generate multiple categories for your domain
3. Append all categories to the same file

Step 3: Convert to JSON

Use this Python script to convert your .txt file to JSON:

import json
import re

def convert_to_json(txt_file, domain_name):
    with open(txt_file, 'r') as f:
        content = f.read()
    
    result = {}
    current_category = ""
    
    for line in content.strip().split('\n'):
        line = line.strip()
        if line.startswith('-') and line.endswith('-'):
            current_category = line[1:-1]
        elif line and current_category:
            match = re.match(r'(\d+)(.+)', line)
            if match:
                frequency = int(match.group(1))
                word = match.group(2).strip()
                result[word] = {
                    "domain": domain_name,
                    "category": current_category,
                    "frequency": frequency
                }
    
    output_file = f"{domain_name.lower().replace(' ', '_')}.json"
    with open(output_file, 'w') as f:
        json.dump(result, f, indent=2)
    
    print(f"Created {output_file} with {len(result)} words")

# Usage
convert_to_json("technology_words.txt", "Technology")

Building from Source

npm install
npm run build

License

MIT