As a Python developer, working on various projects, I came across a scenario where I needed to build a dictionary web app with Django. In this tutorial, I’ll walk you through creating a simple yet powerful dictionary app using Django. The app will allow users to enter a word and get its meaning along with the part of speech.
I’ll share two methods: one using a Python dictionary for quick lookup and another using an external API for richer data. Both approaches are easy to implement and perfect for anyone looking to build a useful language tool.
Let’s get in!
What You’ll Need Before Starting
- Python 3.8+ installed on your system
- Django 4.x installed (
pip install django) - Basic familiarity with Django models, views, and templates
- Optional: An API key if you want to use an external dictionary API (explained below)
Read Create a Search Autocomplete with a Filter in Django
Method 1: Create a Dictionary App Using a Python Dictionary
This approach uses a simple Python dictionary to store word-meaning pairs. It’s fast and straightforward, ideal for small datasets or prototypes.
Step 1: Set Up Your Django Project
Open your terminal and run:
django-admin startproject dict_project
cd dict_project
python manage.py startapp dictionaryAdd 'dictionary' to your INSTALLED_APPS in dict_project/settings.py.
Step 2: Create Your Dictionary Data
Inside your dictionary app folder, create a file named data.py and add some sample words:
# dictionary/data.py
WORDS = {
"python": {"meaning": "A high-level programming language.", "part_of_speech": "noun"},
"django": {"meaning": "A high-level Python web framework.", "part_of_speech": "noun"},
"algorithm": {"meaning": "A process or set of rules to be followed in problem-solving operations.", "part_of_speech": "noun"},
"variable": {"meaning": "A storage location paired with an associated symbolic name.", "part_of_speech": "noun"},
# Add more words as needed
}Step 3: Create Views to Handle User Input and Display Results
Edit dictionary/views.py:
from django.shortcuts import render
from .data import WORDS
def home(request):
return render(request, "dictionary/home.html")
def search_word(request):
query = request.GET.get('word', '').lower()
result = WORDS.get(query)
context = {
"word": query,
"result": result,
"not_found": False if result else True,
}
return render(request, "dictionary/result.html", context)Read Register User with OTP Verification in Django
Step 4: Set Up URLs
Create a urls.py inside the dictionary app:
from django.urls import path
from . import views
urlpatterns = [
path('', views.home, name='home'),
path('search/', views.search_word, name='search_word'),
]Include these URLs in the main dict_project/urls.py:
from django.contrib import admin
from django.urls import path, include
urlpatterns = [
path('admin/', admin.site.urls),
path('', include('dictionary.urls')),
]Step 5: Create Templates
Create a templates/dictionary/ folder inside your app.
home.html:
<!DOCTYPE html>
<html>
<head>
<title>Dictionary App</title>
</head>
<body>
<h1>Dictionary Lookup</h1>
<form action="{% url 'search_word' %}" method="get">
<input type="text" name="word" placeholder="Enter a word" required>
<button type="submit">Search</button>
</form>
</body>
</html>result.html:
<!DOCTYPE html>
<html>
<head>
<title>Dictionary Result</title>
</head>
<body>
<h1>Result for "{{ word }}"</h1>
{% if not_found %}
<p>Sorry, the word "{{ word }}" was not found in the dictionary.</p>
{% else %}
<p><strong>Meaning:</strong> {{ result.meaning }}</p>
<p><strong>Part of Speech:</strong> {{ result.part_of_speech }}</p>
{% endif %}
<a href="{% url 'home' %}">Search Again</a>
</body>
</html>Step 6: Run Your App
Run the development server:
python manage.py runserverVisit http://127.0.0.1:8000/ in your browser and try searching for words like “python” or “algorithm”.
I executed the above example code and added the screenshot below.


Check out Create a Card with a Button in Django
Method 2: Use an External Dictionary API for Dynamic Meanings
For a more scalable and rich dictionary app, you can integrate an external API like DictionaryAPI or Merriam-Webster’s API.
Step 1: Install Requests Library
pip install requestsStep 2: Update Views to Fetch Data from the API
Modify dictionary/views.py:
import requests
from django.shortcuts import render
def home(request):
return render(request, "dictionary/home.html")
def search_word(request):
query = request.GET.get('word', '').lower()
api_url = f"https://api.dictionaryapi.dev/api/v2/entries/en/{query}"
response = requests.get(api_url)
if response.status_code == 200:
data = response.json()
# Extract the first meaning and part of speech
meaning = data[0]['meanings'][0]['definitions'][0]['definition']
part_of_speech = data[0]['meanings'][0]['partOfSpeech']
result = {"meaning": meaning, "part_of_speech": part_of_speech}
not_found = False
else:
result = None
not_found = True
context = {
"word": query,
"result": result,
"not_found": not_found,
}
return render(request, "dictionary/result.html", context)Step 3: Keep the Same URLs and Templates
You can reuse the URLs and templates from Method 1 without any changes.
Step 4: Test Your App
Run the server and try searching for any English word. The app will fetch live data from the API.
I executed the above example code and added the screenshot below.

Read Create a User Profile Using Django
Tips for Enhancing Your Dictionary App
- Add user authentication to save favorite words.
- Implement autocomplete suggestions using JavaScript.
- Cache API results to improve performance.
- Add support for synonyms and antonyms.
- Style your app with Bootstrap or Tailwind CSS for a better user experience.
Building a dictionary application in Django is a rewarding project that combines web development with practical data lookup functionality. Whether you use a static Python dictionary or connect to a live API, you’ll gain valuable experience in handling user input, rendering dynamic content, and structuring a Django app effectively.
If you want to build something useful for English learners or writers in the USA, this app is a great start. You can expand it with more features and make it your own!
You may also like to read:

I am Bijay Kumar, a Microsoft MVP in SharePoint. Apart from SharePoint, I started working on Python, Machine learning, and artificial intelligence for the last 5 years. During this time I got expertise in various Python libraries also like Tkinter, Pandas, NumPy, Turtle, Django, Matplotlib, Tensorflow, Scipy, Scikit-Learn, etc… for various clients in the United States, Canada, the United Kingdom, Australia, New Zealand, etc. Check out my profile.