Imagine this scenario:
- Backend API returns a perfectly correct number
- Network tab shows the correct value
- No errors, no warnings
- But your frontend logic behaves incorrectly
Hours of debugging later…
You realize the number changed automatically 😨
Welcome to JavaScript precision loss - one of the most dangerous silent bugs in web development.
This blog explains:
- ❓ Why this happens
- 💥 How it silently breaks applications
- 🔍 How to detect it
- 🛠 How to fix it (frontend & backend)
- 🧠 What both frontend and backend developers must know
🧠 The Root Cause: JavaScript Number Limit
JavaScript has only one numeric type:
Number
Under the hood, it uses IEEE-754 double-precision floating-point format.
That means JavaScript can safely represent integers only up to:
Number.MAX_SAFE_INTEGER
// 9007199254740991
// which is 2^53 - 1
Anything greater than this loses precision.
🚨 The Problem in Real APIs
Example API response (from backend):
{
"transactionId": 9007199254740993
}
This value is valid, correct and often used for:
- Database IDs
- Transaction numbers
- Order references
- Snowflake IDs
- Big integers from other systems
🔍 What You See in the Browser
🟢 Network → Response tab
{
"transactionId": 9007199254740993
}
Looks perfect ✔️
🔴 Network → Preview tab (parsed by JS)
{
transactionId: 9007199254740992
}
💥 Boom - value changed silently
No error
No warning
Just wrong data
😱 The Shocking Proof
Try this in the browser console:
9007199254740993 === 9007199254740992
👉 Result:
true
Yes. Two different numbers are considered equal.
That’s how dangerous this is.
🔥 Why This Is So Dangerous
This bug:
- ❌ Does NOT throw errors
- ❌ Does NOT break the UI immediately
- ❌ Does NOT show warnings
But it can:
- Break ID-based logic
- Send wrong IDs in the next API call
- Fail updates / deletes silently
- Corrupt data flows
- Cause production-only bugs
And debugging becomes a nightmare because:
“The backend sent the correct value.”
Which is true - but irrelevant.
🔄 Where It Breaks Exactly
The precision loss happens during:
JSON.parse()
JavaScript parses JSON numbers into Number, and the precision is already lost at parse time.
By the time your code runs:
response.data.transactionId
The damage is already done.
👨💻 Backend Developers: This Is Also Your Responsibility
If your API schema includes:
- IDs
- Counters
- Financial values
- Any number that may exceed
2^53 - 1
❌ Returning them as JSON numbers is unsafe.
✅ Best Backend Practice
Return large numeric identifiers as strings:
{
"transactionId": "9007199254740993"
}
This avoids precision loss entirely.
🧑💻 Frontend Developers: What If Backend Can’t Change?
Sometimes:
- API is legacy
- Schema cannot be changed
- Third-party API returns big numbers
You still need a solution.
🛠 The Solution: json-bigint
json-bigint is a library that parses JSON without losing precision.
Install:
npm install json-bigint
Usage:
import JSONbig from 'json-bigint';
const response = JSONbig.parse(apiResponseText);
Now:
- Large numbers are preserved
- You can handle them safely
- No silent corruption
You can choose:
BigInt- String representation
- Custom handling logic
⚠️ Important Things to Remember
1️⃣ BigInt is NOT JSON-serializable
You must convert it before sending back to APIs.
2️⃣ Mixing Number & BigInt throws errors
Be consistent in comparisons and calculations.
3️⃣ IDs ≠ numbers
Treat IDs as identifiers, not math values.
🧪 How to Debug This Faster Next Time
If you suspect precision issues:
- Check Network → Response
- Compare with Network → Preview
- Log raw response text
- Compare values with strict equality
- Check against
Number.MAX_SAFE_INTEGER
This can save hours of debugging.
🏁 Final Thoughts
This bug is dangerous because it:
- Looks harmless
- Produces no errors
- Corrupts data silently
Once you know it, you’ll never forget it.
Key Takeaways:
- JavaScript numbers have limits
- APIs must respect client constraints
- Large IDs should be strings
- Silent bugs are the most expensive bugs
If this post helped you learn something new, you’re already ahead of many developers.
💬 Have you ever faced a bug where everything “looked correct” but wasn’t?
Drop your experience - let’s learn from each other.
Top comments (0)