Validating emails in MUI is a common requirement for building robust forms. We'll explore five different ways to handle this, complete with working code. We will also look at the common pitfalls of these methods and see how Abstract API provides a more reliable solution for your application.
How to Implement Email Validation in MUI
Here are four common methods to validate email inputs in your MUI forms. Each approach has a different implementation, from native browser features to popular third-party form management libraries.
Browser-Level Validation via MUI TextField
This method leverages the fact that the MUI TextField component forwards props to the underlying HTML input element. By setting the input type to email, you activate the browserās built-in validation for email addresses.
The component's onBlur event checks the input's validity state. The error and helperText props then reflect this state in the UI. This technique provides validation without extra libraries or regular expressions, as detailed in a muhimasri.com blog post.
<TextField type="email" required onBlur={e => setError(!e.target.validity.valid)} error={error} helperText={error && 'Invalid email'} />
A Custom HTML Pattern with the Native Validity API
For more specific validation, you can add a custom regex pattern. This approach pushes the pattern evaluation to the browser but still uses MUI's error and helperText props to show the result. The pattern is passed to the inputProps of the TextField.
The same onBlur event and validity check from the previous method apply here. This allows for stricter rules, such as an email from a specific domain. Form-level validation is also straightforward with `formRef.current.checkValidity()`, as shown in another muhimasri.com example.
<TextField label="Work e-mail" required inputProps={{pattern:'^[A-Za-z0-9._%+-]+@mycorp\\.com$'}} onBlur={e=>setError(!e.target.validity.valid)} ⦠/>
Schema Validation with Formik and Yup
This method combines Formik for form state management and Yup for schema-based validation. You define a validation schema with Yup that specifies the rules for your form fields, such as `string()`, `email()`, and `required()`.
The Formik component wraps your form and connects to the schema via the validationSchema prop. According to the Formik documentation, it manages the form's state, including values and errors. The MUI TextField's error and helperText props are then bound to Formik's `touched` and `errors` state, so validation messages appear only after a user interacts with the field.
const schema = Yup.object({ email: Yup.string().email().required() });
<Formik initialValues={{email:''}} validationSchema={schema} onSubmit={ā¦}>
{({errors,touched})=>(
<TextField name="email" value={values.email} onChange={handleChange} error={touched.email&&Boolean(errors.email)} helperText={touched.email&&errors.email}/>
)}
</Formik>
A Controlled Component with a Runtime Validator
This approach puts all validation logic inside your React component. You manage the input's value and error state with the `useState` hook. A library like `validator.js` or a custom function provides the validation logic.
The TextField's `onChange` handler triggers on every keystroke. Inside the handler, you update the email's value in the state and call the validation function to check it. The result of this check determines the boolean value for the error state, which in turn controls the TextField's error prop and helper text, a method found on restack.io.
import isEmail from 'validator/lib/isEmail';
const [email,setEmail]=useState(''); const [err,setErr]=useState(false);
<TextField value={email} onChange={e=>{const v=e.target.value; setEmail(v); setErr(!isEmail(v));}} error={err} helperText={err&&'Invalid email'}/>
Challenges of Email Validation in MUI
While these methods work, they introduce reliability and maintenance issues. Client-side validation alone often creates a false sense of security and can degrade the user experience with flawed checks.
- Browser-level validation defers to inconsistent rules across clients. An email may pass in one browser but fail in another, which makes the check unreliable and dependent on the user's environment.
- The MUI TextField component ignores the HTML pattern attribute. This forces complex workarounds for custom pattern validation and undermines the declarative logic of your forms, which makes advanced checks fragile.
- Browser autofill can update an input without a React state change. This desynchronizes the UI from the validation logic in controlled components and produces phantom pass or fail states that are hard to debug.
- Regex patterns, whether in custom HTML or with libraries like Yup, fail to cover all valid email formats. They cannot handle international domains or other edge cases, which results in false negatives for users.
Validate Emails with Abstract API
Add reliable email validation to your MUI forms to prevent bad sign-ups and improve data quality.
Get started for free
How Abstract API Handles Email Validation in MUI
Abstract API addresses the core weaknesses of traditional methods with a comprehensive, server-side validation service that goes beyond simple syntax checks.
- The service performs a layered validation process. This includes syntax checks, typo autocorrection, a blacklist of over 3,000 disposable domains, SMTP handshakes, MX lookups, and catch-all detection. A machine-learning model also provides a quality score.
- Its API returns a single JSON payload that details deliverability, a quality score, and booleans for disposable domains, MX records, and SMTP validity. A simple check inside your component can then decide whether to mark the field as an error or show a correction.
- Because the complex work occurs on the server, your React bundle remains lean. You just fire a GET request and interpret the response. Rate-limited free keys support local development, and SOC 2/GDPR compliance removes security objections.
How to Add Abstract API to Your Dev Environment
Once you understand Abstractās capabilities, you can add its email validation API to your project with a few simple steps.
- Sign up at Abstract API and copy the Email Validation API key. The free tier is sufficient for development.
- Install axios with npm or use the native fetch API inside your React/MUI workspace.
- Add your key to a .env file as REACT_APP_ABSTRACT_KEY and restart the development server.
- Create a utility function that calls the Abstract API endpoint.
- In your MUI form, call the validation function from the TextField's onBlur event. Set the error state and helper text based on the API response.
- For deployment, store the API key as an environment variable on your CI/CD platform to avoid code changes between environments.
npm install axios
Sample Email Validation Implementation with Abstract API
The code below shows a functional React component that validates an email address upon the onBlur event of an MUI TextField. It calls the validation function, which sends a GET request to Abstract API. The component then uses the JSON response to set an error state or display a correction suggestion in the helper text.
import { useState } from 'react';
import TextField from '@mui/material/TextField';
import axios from 'axios';
async function validateEmail(email) {
const url = `https://emailvalidation.abstractapi.com/v1/?api_key=${process.env.REACT_APP_ABSTRACT_KEY}&email=${encodeURIComponent(email)}`;
const { data } = await axios.get(url);
return data;
}
export default function EmailField() {
const [email, setEmail] = useState('');
const [error, setError] = useState(false);
const [helper, setHelper] = useState('');
const handleBlur = async () => {
const res = await validateEmail(email);
if (res.autocorrect) setHelper(`Did you mean ${res.autocorrect}?`);
setError(res.deliverability !== 'DELIVERABLE' || res.is_disposable_email.value);
};
return (
<TextField
label="Email"
value={email}
onChange={e => setEmail(e.target.value)}
onBlur={handleBlur}
error={error}
helperText={helper}
fullWidth
/>
);
}
The API returns a detailed JSON object. Here is a sample response for a valid email:
{
"email": "johnsmith@gmail.com",
"autocorrect": "",
"deliverability": "DELIVERABLE",
"quality_score": 0.9,
"is_valid_format": { "value": true },
"is_free_email": { "value": true },
"is_disposable_email": { "value": false },
"is_role_email": { "value": false },
"is_catchall_email": { "value": false },
"is_mx_found": { "value": true },
"is_smtp_valid": { "value": true }
}
The response payload provides clear, actionable data:
- The deliverability and quality_score fields drive the primary validation decision.
- The autocorrect field offers a suggestion that you can show to the user in the helperText.
- Boolean flags like is_disposable_email allow for more granular rules, such as an outright block of temporary emails or a warning for role-based addresses.
Final Thoughts
Traditional validation methods often fail because they only check syntax. They cannot detect disposable domains, typos, or invalid mail servers. Abstract API solves these issues with a robust, server-side check that confirms an email's deliverability.
To reliably validate user emails, consider an account on Abstract API and get your free API key.
Validate Emails with Abstract API
Don't let invalid emails compromise your data. Add proper email validation to your MUI app.
Get started for free