How AI-assisted pet search works
A user uploads a clear pet photo and the search system compares visible characteristics with photos and details available in lost and found reports. Possible similarities can then be reviewed by a person. A visual match is a lead, not proof of ownership.
Use a sharp image where the pet's face, coat pattern, body shape or other distinctive features are visible.
Breed or type, colour, city, state, area, date and identifying marks can help narrow down the reports that need attention.
Compare markings, age, size, collar, location and dates instead of relying on one visual similarity alone.
If a possible owner is found, use older photos, identifying marks, veterinary information or other reasonable evidence to confirm ownership.
What makes a pet photo easier to compare?
- Use the original photo when possible instead of a screenshot covered with text.
- Choose an image with good light and minimal blur.
- Include a face or full-body photo showing distinctive coat patterns.
- Add accurate location and date information to the related lost or found report.
- Use more than one photo when available, especially for pets with common colours or breeds.
Frequently asked questions
What is FindMyPet India?
FindMyPet India is a community-driven lost and found pet platform for India. People can create lost or found pet reports and use AI-assisted photo search to review possible matches.
Does FindMyPet India sell GPS trackers or smart pet tags?
No. FindMyPet India is a web-based reporting and search platform. It is not a GPS tracker, QR-code pet tag, NFC tag or hardware locator service.
Can AI confirm that two pet photos are the same animal?
No. AI-assisted comparison can surface possible similarities, but a person should verify markings, location, dates and ownership evidence before treating a match as confirmed.
Can FindMyPet India be used across India?
The platform is designed for lost and found pet reports from cities and states across India. Accurate location details make reports more useful for local searching and sharing.