India's college data
is broken. We fix it.
A normalized, alias-aware, and continuously updated Indian college identity API for modern platforms.
01 — Problem
Why is college data so messy?
Companies collecting education data face the same problems:
- "IITD"
- "IIT Delhi"
- "Indian Inst Tech Delhi"
- "Inst Tech Delhi"
All refer to the same institution.
But systems treat them as different entities.
This creates:
- duplicate records
- broken analytics
- messy forms
Entity Resolution
Real-time alias matching
Why build this?
Addressing the common challenges with existing educational datasets.
Data Standardization
One institution. Dozens of formats.
Official sources are comprehensive — but normalizing names, resolving duplicates, and making data product-ready takes serious engineering.
Continuous Updates
A static dataset goes stale fast.
71,500+ institutions change names, merge, and open every year. Your data needs to keep up.
Operational Friction
- Maintaining internal mappings
- Resolving duplicate profiles
- Optimizing user form flows
- Ongoing data validation
02 — Solution
Not just a dataset.
A college identity layer.
We treats college data as infrastructure. Built from real-world hiring and assessment workflows, our data is continuously updated, normalized, and ready for production use.
Production Grade
Normalized and structured for immediate use in your apps.
Continuously Updated
Our data isn’t a snapshot. It lives and breathes.
Alias Aware
We map alternate names and spellings to canonical records.
const res = await fetch(
"https://api.collegedb.in/v1/colleges/search?q=iit+bombay",
{
headers: {
"Authorization": "Bearer cdb_••••",
},
}
);
const { results } = await res.json();{
"id": "f47ac10b-58cc-4372-a567",
"name": "Indian Institute of Technology Bombay",
"city": "Mumbai",
"state": "Maharashtra",
"type": "University"
}Trust & Provenance
Built on Trust & Verified Data
We operate deep inside the hiring ecosystem. Our dataset isn't scraped — it's actively maintained and continuously validated through real-world engagement with millions of candidate profiles.
Powered by eLitmus — India's largest assessment company, est. 2005. We built this for ourselves first.
Real User Updates
We don't rely on automated bots. Data points are crowd-sourced and validated directly through users interacting with our live assessment ecosystem — making the dataset battle-tested at scale.
Capabilities
Core Capabilities
Everything you need to build robust education data workflows.
Normalized Identity
Every college has a canonical record and standardized name, eliminating duplicates and confusion across all your data pipelines.
Alias Mapping
We track alternate spellings, abbreviations, and legacy names so you don't have to maintain internal mapping tables.
Location Standardization
Cities and states are normalized to standard lists. No more "Bangalore" vs "Bengaluru" chaos.
Search Index
Optimized for fast lookups and fuzzy matching, perfect for autocomplete inputs.
API Ready
Built with a structured schema designed for easy integration into modern tech stacks.
Developer Resources
Everything you need to integrate
Who it's for
If college names matter to you, this is for you.
Whether you are validating degrees, analyzing demographics, or building the next generation of student products — clean data is your foundation.
Why us
Why companies choose us
Stop building data pipelines for problems we've already solved.
The Old Way
- Scraping messy AISHE governmental data
- Buying static CSVs that go stale instantly
- Manually mapping "IITB" to "IIT Bombay"
- Building and maintaining internal tools
Our Way
- Living dataset updated continuously
- Instant API access with structured schema
- Built-in alias and location intelligence
- Focus on your product, not data cleanup
Try the API right now.
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No credit card. No waiting list.
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