What the service provides.
Tikvoya is an independent viewer for information returned about a public TikTok profile. You submit a username or supported TikTok link and receive the profile fields available from our data provider, subject to errors, limits and temporary caching.
The current service is available without a Tikvoya account or TikTok sign-in. It does not provide video browsing, Story viewing, access to private content, a historical archive or an official identity-verification service.
By using Tikvoya, you agree to these terms. If you do not agree, do not use the lookup or contact features. How we handle information is explained in the privacy policy.
Use the viewer responsibly.
Use Tikvoya for lawful inspection of public profile information and respect the rights of account holders. You are responsible for the queries you make and how you use the result.
- Do not use the service to harass, stalk, impersonate or target another person.
- Do not attempt to access private content, credentials or other users’ records.
- Do not bypass rate limits, interfere with the service or run unauthorized bulk collection.
- Do not submit malicious payloads, sensitive credentials or unlawful material through the contact form.
- Do not present Tikvoya as an official TikTok service or imply that we verified a person’s identity.
The public lookup form is intended for interactive use. Its internal endpoints are not offered as a public redistribution API. We may limit or block activity that threatens service availability or violates these conditions.
Read third-party information with care.
Profile information is supplied through SerpBase and may originate from TikTok. Names, images, bios, trademarks and linked material remain subject to their respective owners’ rights. Showing a field does not transfer ownership or grant permission to reuse it.
Account counts can be rounded, delayed, absent or inconsistent with another view. A verification indicator reflects the returned source status. A website link is information attributed to a profile, not a recommendation by Tikvoya.
Tikvoya’s brand, site design and original explanatory content belong to their respective rights holders. TikTok’s name is used to describe the profiles this viewer looks up. Tikvoya is not affiliated with or endorsed by TikTok.
When you leave Tikvoya through a link, the destination’s terms and privacy practices apply. We do not control those sites or guarantee their content.
Availability is conditional.
The service depends on network access, a third-party data source and upstream platform behavior. It may be delayed, incomplete, changed, suspended or unavailable. Cached results may be reused for up to five minutes.
We do not promise uninterrupted access, a particular result for every username, a fixed support response time or continued availability of every field. We may change features and operating limits as the service develops.
A failed query is not proof that the account does not exist. Check the original source and the methodology before relying on an absence or discrepancy.
You decide how to use a result.
Tikvoya provides information for general reference. Do not use a profile snapshot as the sole basis for decisions about someone’s identity, employment, eligibility, creditworthiness or safety.
The service is provided on an “as available” basis. To the extent permitted by applicable law, we do not warrant the accuracy, completeness or fitness of third-party data for a particular purpose, and we are not responsible for losses arising from reliance on incomplete or inaccurate results.
Nothing in these terms excludes rights or responsibilities that applicable law does not allow to be excluded.
Questions and changes.
Report a technical problem, data-handling issue or suspected misuse through the contact page or [email protected]. Sending a support request permits us to store and process it for that purpose, as described in the privacy policy.
We may update these terms when the service changes. The effective date below identifies this version. Review the current terms when using a new feature.