Free Reverse Email Lookup

To find out who owns an email address, paste it into the Cleanlist AI reverse email lookup above and read the four checks it runs. MX records tell you whether the domain accepts mail at all. The domain's own website tells you which company owns it. The Gravatar API returns a public profile when the person has published one, which can include a display name, photo, location, and linked accounts.

And the address pattern itself usually encodes the name, so jane.doe@acme.com resolves to Jane Doe at Acme. Cleanlist AI runs all four checks concurrently and returns them together, from public sources only, with no signup and 25 lookups per IP per day. Work addresses return the most, because the domain identifies the employer.

You look up an email address by starting from the address and working outward to the domain, the company, and the person. Cleanlist AI does that in one step: enter the address in the tool above and it checks whether the domain has live MX records, resolves the domain to a company name and website, queries Gravatar for a public profile, and parses a likely first and last name from the part before the @.

Nothing is installed and nothing is gated, at 25 lookups per IP per day. If you need the person's verified job title, LinkedIn URL, and phone number rather than just the identity around the address, that requires a contact database, which is what a Cleanlist AI workspace covers. Every new workspace starts with 14 days of Pro (up to 3 seats, 250 credits, no card).

A reverse email search works by treating the address as a key and querying the sources that index it. Cleanlist AI's free reverse email search queries three public sources plus the address itself: DNS, where MX records prove the domain can receive mail; the Gravatar API, where users publish a display name, photo, and linked accounts; and the domain's public website, which identifies the company.

The fourth signal is structural, since most corporate addresses encode the employee's name in the local part. A paid reverse email search adds a B2B contact database on top, which is how a parsed name becomes a verified job title, company, LinkedIn profile, and phone number. Cleanlist AI runs that step across 25+ data providers rather than trusting a single source.

Yes. The Cleanlist AI reverse email search on this page is free, needs no account, and allows 25 lookups per IP per day. Free is possible because every source it touches is free to query: DNS records, the Gravatar API, and the public website behind the domain. There is no paywall, no email capture, and no trial.

What free cannot do is return data that was never public, so a verified job title, LinkedIn URL, or phone number needs a contact database. Cleanlist AI covers that. Every new workspace starts with 14 days of Pro (up to 3 seats, 250 credits, no card). One credit resolves an email, 10 resolve a phone number, and 11 resolve a full contact record.

Paid plans start at $49 per seat a month.

The best reverse email lookup tool depends on whether the address is a work address or a personal one. Cleanlist AI is built for B2B addresses, so it identifies the company behind the domain, checks deliverability, parses the name, and then resolves the full contact across 25+ data providers on a paid lookup.

For personal addresses, consumer people-search services are the right category: Social Catfish runs reverse email, phone, and image searches and states that a paid plan may be required to open the full report, and Spokeo aggregates public records and social data by email, phone, or name.

Hunter solves the opposite problem, finding an address from a person's name plus a company domain; its free plan publishes 50 credits a month covering searches and verifications combined (hunter.io/pricing, read August 7, 2026). If your list is B2B and the record needs to land in a CRM afterwards, Cleanlist AI is the fit.

Yes. Cleanlist AI's reverse email lookup on this page runs with no sign up and no email capture: paste an address, press the button, read the result. The cap is 25 lookups per IP per day. Running it without an account is possible because every source it queries is free to query: DNS MX records, the Gravatar profile API, which allows 100 unauthenticated requests per hour (Gravatar REST API docs, read August 7, 2026), and the public homepage behind the email's domain.

A lookup site that asks you to register before it will show a result is usually gating a paid report behind the form. What signing up buys on Cleanlist AI is the bulk job instead: every new workspace starts with 14 days of Pro (up to 3 seats, 250 credits, no card). That covers 250 verified emails, and a full contact record with a phone number is 11 credits.

The best free email lookup depends on whether you are looking up a work address or a personal one. Cleanlist AI fits work addresses: 25 lookups per IP per day with no account, returning the company behind the domain, whether that domain can receive mail, a Gravatar profile when the person published one, and the name parsed out of the address.

Personal addresses belong to consumer people-search services, which index public records and social data, and most of them show a teaser result and then ask for payment to open the full report. Social Catfish states that a paid plan may be required to view the complete result.

Every free tier stops at the same wall: data that was never public, such as a phone number, needs a contact database behind it.

To look up someone by email, start with what the address itself tells you and then decide whether you need a database. Cleanlist AI's free tool gives you the first layer: the employer behind the domain, whether the mailbox can receive mail, a public Gravatar identity if the person published one, and the name encoded in the address.

That is usually enough to decide whether an unknown inbound sender is worth a reply. To look someone up properly, with verified name, job title, company, LinkedIn URL, and phone number, Cleanlist AI matches the address across 25+ data providers on a paid lookup at 11 credits for a full contact record.

Every new workspace starts with 14 days of Pro (up to 3 seats, 250 credits, no card).

A free Cleanlist AI reverse email lookup returns four things. Deliverability signals: live MX records, plus flags for disposable domains like mailinator and role addresses like info@. The organization behind the domain: name, website, and description. A public Gravatar profile when the person has one, which can include display name, photo, location, and linked accounts.

And a parsed first and last name from the address pattern. It does not return a phone number, a job title, or a LinkedIn URL, because none of those live in public DNS or Gravatar. Those come from a paid lookup across 25+ data providers, which returns 98% verified emails and 85% phone numbers.

Partly. Cleanlist AI's reverse email lookup runs on a personal Gmail, Yahoo, Outlook, or iCloud address, but one of its four signals drops out: there is no company to identify, because the domain belongs to the mail provider. What still works is the deliverability check, the Gravatar lookup (many personal addresses have one), and the name pattern in the address.

Cleanlist AI is a B2B tool, and the contact database behind the paid lookup indexes professional contacts, not consumer identities. If you are trying to identify a private individual from a personal address, a consumer people-search service such as Social Catfish is the right category to use instead.

A reverse email lookup is exact on its technical checks and variable on coverage. The checks Cleanlist AI runs are deterministic: MX records either exist or they do not, and a Gravatar profile either exists or it does not, so those results carry no error rate. Coverage is the variable part. Whether Cleanlist AI can name the person behind an address depends entirely on whether that address appears in B2B sources, and Cleanlist AI does not publish a hit rate for the free tool, because it would be different for every list.

Corporate addresses at companies with a public web presence resolve far more often than personal addresses or addresses at companies with no online footprint. On the paid side, where an address does resolve, Cleanlist AI's product specs are 98% verified emails and 85% phone numbers.

A reverse email lookup returns nothing for four common reasons, and Cleanlist AI tells you which one applies. The domain has no MX records, meaning it cannot receive mail and the address is probably spoofed or dead. The domain is a disposable provider such as mailinator or yopmail, which exists precisely so it cannot be traced back to a person.

The person has no Gravatar profile and no public trail, which is normal and common. Or the address is a role account like info@, sales@, or support@, which belongs to a team rather than an individual. An empty result is still signal: an address with no MX records and no company behind it is not a lead worth your time.

A reverse email lookup answers who, and an email verifier answers whether. Cleanlist AI's reverse lookup starts from an address and returns the identity around it: the company, a public profile, a parsed name. Cleanlist AI's free email verifier starts from the same address and returns deliverability at the DNS level: RFC 5322 syntax, live MX records, and disposable or role-address flags.

The mailbox-level verdict, an SMTP handshake plus catch-all detection, comes from running the address inside Cleanlist AI rather than from the free tool. Most teams use both in sequence, looking the address up to decide whether the contact is worth pursuing and verifying it before anything is sent. In bulk, Cleanlist AI runs both on an uploaded CSV in one pass, so each row comes back enriched and verified together instead of in two separate jobs.

Yes. Looking up an email address against public sources is legal in the US, Canada, the UK, and the EU. Cleanlist AI's free tool queries DNS records, which are public by design, the Gravatar API, which returns only profiles users chose to publish, and the public website of the email's domain. No private database, inbox, or social account is accessed.

What is regulated is what you do next. Outreach based on the result must comply with CAN-SPAM in the US, CASL in Canada, and GDPR in the EU, which generally permit B2B outreach to a business address with a lawful basis, accurate sender identification, and a working opt-out. Using lookup results to contact or profile a private individual is a different legal question, and this tool is not built for that.

No, and Cleanlist AI does not run background checks. A reverse email lookup identifies the professional context around a work address: the employer, the mailbox status, a public profile, a likely name. A background check reports on a person's criminal, credit, or court history and is regulated in the US under the Fair Credit Reporting Act, which requires a permissible purpose and a consumer reporting agency.

Cleanlist AI is neither, and its data must not be used for credit, employment, housing, or insurance decisions. If you are vetting a stranger from a dating app or a marketplace, a lookup built for B2B sales is the wrong instrument for that job.

Yes. The free tool on this page handles one address at a time, at 25 per IP per day. For a list, every new Cleanlist AI workspace starts with 14 days of Pro (up to 3 seats, 250 credits, no card), and every row is matched across 25+ data providers, returning name, job title, company, LinkedIn URL, and phone number for each address that resolves.

The Free plan is 50 credits a month after that. Credits are what a resolved row costs: one credit for the email, 10 for a phone number, 11 for a full contact record with both. Starter is $49 per seat a month with 750 credits per seat, and Pro is $89 per seat with 1,500 credits per seat. Neither has a seat minimum, and annual billing takes 25% off.

Results export to CSV, and HubSpot and Salesforce sync starts on Pro. See People Search and waterfall enrichment for the bulk workflow.

A reverse email lookup costs nothing on this page: 25 lookups per IP per day, free, with no account. A database-backed lookup that resolves the verified person costs credits, and every new workspace starts with 14 days of Pro (up to 3 seats, 250 credits, no card), then drops to the $0 Free plan at 50 credits a month.

One credit resolves an email, 10 resolve a phone number, 11 resolve a full contact record, and running a search costs zero credits. Starter is $49 per seat a month with 750 credits per seat, and Pro is $89 per seat with 1,500 credits per seat. Neither has a seat minimum, and annual billing takes 25% off.

If you look up a handful of addresses a month, the free tier covers it and you never need a paid plan.

Cleanlist AI's free reverse email lookup returns the social accounts a person chose to publish on Gravatar, and nothing beyond that. Gravatar's public profile API returns a display name, avatar, location and a verified_accounts list, capped at four accounts on unauthenticated requests (Gravatar REST API docs, read August 7, 2026).

When the person never created a Gravatar, no social profiles come back, and that is the normal outcome rather than a failure. Tools that reach further work by probing signup and password-reset flows on consumer platforms: the open-source holehe checks whether an address is registered on more than 120 sites and its README states that it "Does not alert the target email." Cleanlist AI does not run those probes.

For B2B work the social identifier that matters is the LinkedIn URL, which Cleanlist AI resolves from its 25+ provider waterfall on a paid lookup, never from public DNS.

An OSINT reverse email lookup pivots from an email address to a person using open sources only, with no private database behind it. Cleanlist AI's free tool on this page is the B2B slice of that method: DNS records, the Gravatar API, the domain's own public website, and the structure of the address itself.

Dedicated OSINT tooling goes wider across consumer platforms. Epieos searches "over 140 websites and social networks" from an email address and can surface a username, location and profile creation date, per its listing on the Maltego Transform Hub (read August 7, 2026).

The practical split for a sales team: OSINT is built to identify a stranger, and a B2B contact database is built to reach a named buyer at work. Cleanlist AI does the second job, so it resolves a work address into a verified email, title and phone number rather than into a consumer footprint.

To find an email address for a person you need two inputs, their name and their employer's domain, and then either a prediction or a database. Cleanlist AI covers the free prediction path with three tools: the email permutator generates every likely address from a name and a domain, the email format finder shows the conventions companies use, and the LinkedIn email finder does the same starting from a profile URL.

Prediction hands you a ranked list of candidates where usually only one is the live mailbox, so run the top candidate through the free email verifier before you send anything, because bounces are what damage sender reputation. To skip guessing entirely, a Cleanlist AI workspace matches a name and company across a 25+ provider waterfall and returns the verified address at one credit each, and every new workspace starts with 14 days of Pro (up to 3 seats, 250 credits, no card).