My Notes

Shabdah Shabdah VISUAL VOCABULARY

How it works

Welcome to Shabdah! Our platform combines visual learning, contextual examples, and interactive tools to help you build lasting vocabulary across multiple languages.

Getting Started: Exploring the Visual Dictionary

Shabdah works smoothly across all your devices — laptops, desktops, tablets, and phones. The dictionary is built on illustration rather than translation, helping you connect words directly to concepts and memories.

Start Browsing the Dictionary

Good to know before you start:


A note on the illustrations. Cards are images, so they render slightly differently depending on your screen — colour and sharpness vary between phones, laptops and external monitors, and between light and dark surroundings. The artwork itself is identical everywhere; only your display changes how it looks.

1. Learn with Flashcards

Front view of the concept for “to laugh” (笑う / warau). Illustrated concept with native pronunciation audio, Romanization, script, and one-tap ‘Add to Review’.
Front view of the concept for “to laugh”.

Start by exploring our visual flashcards.

Each flashcard includes:

Study the cards at your own pace or review them regularly to strengthen long-term memory.


2. Use the Visual Dictionary

Back of the flashcard shows the inflected form, conjugation table, audio, etc.
Back of the flashcard shows the inflected form, conjugation table, audio, etc.

Need to look up a word quickly?

Simply search for any word or concept in the Visual Dictionary.

Each entry brings together:

The Visual Dictionary is designed to help you understand not just what a word means, but how it is used in everyday language.


3. Save Words to Your Review Deck & Custom Flashcards

Found a word you want to commit to memory?

With a single click, tap “Add to Review” to send it straight to your spaced repetition queue.

Your saved words can then be practiced regularly through review sessions. When you create a free account, your progress, review intervals, custom categories, and personal notes automatically sync across all your phones, tablets, and computers.

You can also upload your own photos from your phone or laptop gallery to create personalized custom flashcards, anchoring vocabulary to your own life experiences.


On Phones, Tablets & Desktop

Shabdah works as a responsive Progressive Web App across mobile and desktop browsers.

Install it: open this site in Safari, Chrome, or Edge and choose Add to Home Screen (or install the app from your browser menu). It opens full-screen like a native app, with no browser bars.


What Each Language Covers

Japanese, Hindi and French work the same way across the 5,000 curated concepts, each one studiable in its own direction into English. Every one of those has its illustration, recorded audio, meanings, inflected forms, and related words.

In addition to the 5,000 illustrated concepts, our dictionary includes extensive fallback dictionaries across all four languages for broader vocabulary:

These fallbacks are used only for typed search and only for words outside Shabdah's own 5,000 concepts. Those 5,000 were translated and reviewed by people, and nothing above applies to them.

Inflected forms are handled, so you do not have to know the dictionary form before you look something up: mangeons finds manger, heureuse finds heureux, and किताबों finds किताब.

The two fallbacks differ in size for a simple reason: open, freely licensed dictionaries are far larger for Japanese and English than for Hindi. A Hindi word outside both the curated 5,000 and those 22,456 will still come back empty — that is the honest boundary today, and it is worth knowing before you rely on it.


Learn Naturally: Interconnected Semantic Network

The interconnected semantic network of the concept “to laugh”, linking related words (giggle, smile, chuckle, cry) and natural collocations.
The interconnected network of words — explore related vocabulary (giggle, smile, chuckle, cry) and natural collocations for the concept “to laugh”.

Rather than memorising isolated word lists, Shabdah helps you connect images, sounds, meanings, and real-life usage to create stronger, longer-lasting memories.

Whether you're studying with flashcards, searching the Visual Dictionary, or exploring related words and collocations, every interaction builds your vocabulary in a natural and engaging way.


Where things stand

Working now
  • 5,000 illustrated concepts, across sixteen topic categories
  • Professions & Specialisations browsing — 3,515 concepts indexed across 50 specialised fields (medicine, engineering, aviation, law, culinary arts, computer science, and more)
  • Japanese, Hindi and French, each translated into English
  • Three study directions: Japanese → English, Hindi → English, French → English
  • Search across every script, forgiving of typos
  • Search inside example sentences, not just words
  • Audio for word and meaning
  • Spaced-repetition review
  • Personal notes on any card
  • Related words, tappable through to their own card
  • Phrases: where one language needs several words for what another says in one — 1,237 concepts, 1,797 phrasings
  • Inflected-form tables for 569 verbs, 503 of them showing Japanese, French and Hindi side by side
  • Example sentences with context and translations
  • Alphabetical browsing, A–Z or あ–ん
  • Custom categories of your own
  • Quick Lookup on phones and tablets
  • Dictionary fallback beyond the 5,000: Japanese, English, Hindi and French
Being built
  • Offline support is being worked on
  • JLPT and CEFR level categorisations or vocabulary lists coming up
  • Regional Indian languages are being created
  • Wider Hindi and French dictionary coverage beyond the curated 5,000
Planned
  • Mandarin, Korean, German, Italian and Spanish will be added soon
  • Reading the site in multiple languages

How Shabdah's Content Was Built

Over 10 months, I developed Shabdah’s multilingual linguistic corpus using AI models guided by human-created, human-vetted linguistic resources documented on the Sources & Licences page. Through structured data engineering, semantic mapping, cross-language alignment, morphological analysis and iterative quality assurance, I developed six interconnected content types across 5,000 concepts and three language pairs: meanings, related words, example sentences, collocations, phrases and inflected forms.