PimEyes matches faces. Google matches file bytes. Neither one indexes Tinder or Bumble. A head-to-head comparison of coverage, accuracy, cost and privacy — plus what to use when both come up empty.

Short answer
Google matches files; PimEyes matches faces. Google finds pages where the same image file was published, so an unpublished or cropped photo returns nothing. PimEyes builds a mathematical face signature and finds different photos of the same person. Neither one searches dating apps, because those photos sit behind a login.
The confusion between PimEyes and Google Images comes from the shared phrase "reverse image search." Both accept a picture and return links. Everything after that step is different.
Launched in 2011, folded into Google Lens in 2022. You upload a photo (or paste a URL) and Google returns pages on the public web that host the same image file or visually similar ones. The core matching signal is the image bytes: crop, filter or resave the file and Google's confidence drops fast. It has no dedicated face-recognition layer, and Google Search deliberately does not use faces as a primary matching feature for privacy reasons. Free, unlimited, no account required.
A Polish company founded in 2017, now headquartered in Dubai. PimEyes is a face search engine. You upload a photo and it returns other pages on the public web that contain the same face — not the same file, the same person. It runs continuous crawls of billions of publicly indexable images and matches with a facial recognition model. Free for a tease (blurred previews of match URLs); paid from $29.99/month to actually see the results.
PartnerCheck is not a general-purpose face search engine. It is a specialist dating-app search: one photo, one query, 50+ dating apps checked in parallel (Tinder, Bumble, Hinge, Match, OkCupid, Feeld, Ashley Madison, Seeking, Grindr, Gleeden and roughly 40 others). PimEyes and Google do not — and structurally cannot — index those apps, because every major dating platform blocks external crawlers.
One paragraph of technical detail, because it explains almost every difference in what these tools return.
Google hashes an image with a perceptual hash (a compact fingerprint of the pixels) and looks up that hash across its index of the public web. If the same fingerprint exists on another page, the page shows up. Similar images use a nearest-neighbour search over image embeddings. Neither method isolates faces from the background — you are matching whole scenes.
PimEyes runs a face detection model first, crops each detected face out of every image on the pages it has crawled, then encodes each face as a numeric vector (a "face embedding"). Your uploaded photo goes through the same process. The lookup is a cosine similarity search over the vector database. This is why PimEyes matches different photos of the same person taken years apart, while Google usually cannot.
PartnerCheck uses the same face-embedding approach as PimEyes, but the reference database is different: instead of the public web, it is the public profile grids of 50+ dating apps. That distinction is the entire story of why one tool answers "does this person have a Tinder profile" and the other two cannot.
The public web is huge, but it is not everything. A large share of the internet — including every dating app — is either behind a login wall or actively blocks crawlers.
| Content type | PimEyes | PartnerCheck | |
|---|---|---|---|
| News sites, blogs, forums | |||
| Public LinkedIn, personal sites | |||
| Instagram / TikTok public profiles | partial | partial | |
| Stock photo sites | |||
| Tinder / Bumble / Hinge profiles | 50+ apps | ||
| Ashley Madison, Feeld, Seeking | |||
| Matches faces (not just files) |
The row that matters, if you landed here from a dating-app question, is the Tinder/Bumble/Hinge row. Neither Google nor PimEyes has ever been able to index those profiles. Every major dating app blocks external crawlers in its robots.txt and serves photos from private CDNs with rotating signed URLs. There is no way to fix this from the outside; it requires a tool that queries the apps directly.
Face recognition accuracy is measured in false-match rate (someone else flagged as you) and false-non-match rate (missing an actual match). The NIST Face Recognition Vendor Test — the industry benchmark — puts top face-embedding models above 99% on frontal photos in good lighting, dropping into the low 90s on side profiles, sunglasses or photos more than five years old. PimEyes and PartnerCheck both use models in that top tier.
Google reverse image search is a different metric entirely because it is not doing face matching. Its useful accuracy is measured as: "did this exact file appear elsewhere?" On unmodified files it is near-perfect. On cropped, filtered or recompressed files it collapses to near-zero — which is exactly what happens to every photo that has been re-uploaded to a dating profile.
Practical takeaway: if the photo you have is the original file, Google will find copies. If it is a screenshot or an edited version, only face-embedding tools have a chance. If the copy you are looking for lives inside a dating app, only a tool that queries those apps directly will find it.
| Tool | Entry price | What you get |
|---|---|---|
| Google Images | Free | Unlimited searches, unlimited public-web results |
| PimEyes Open Plus | $29.99/mo | 25 searches/day, unblurred match URLs |
| PimEyes PROtect | $89.99/mo | Continuous face monitoring, takedown assistance |
| PartnerCheck single search | $19.99 | One photo scanned across 50+ dating apps once |
| PartnerCheck lifetime monitoring | $49 one-off | Alerts when a new dating profile appears with that face |
If you have exactly one question — "is this person on dating apps right now?" — a single PartnerCheck search is cheaper than a single month of PimEyes, and it answers the question that neither PimEyes nor Google can. If your question is broader ("where does my face appear across the whole internet?"), PimEyes is the tool.
Google does not permanently store the photo you upload for a reverse image search, per its documented policy, though the query does appear in your account activity if you are signed in.
PimEyes stores face embeddings of everyone it has ever crawled. It offers an opt-out request form that removes your face from its index if you submit a photo of yourself plus ID. Opt-out is free but slow (typically 2–4 weeks) and does not cover future re-crawls unless you sign up for PROtect.
PartnerCheck deletes the uploaded photo after the scan completes and does not build a persistent face index of the people being searched for. Reports are tied to a checkout email rather than a persistent user account.
For finding other pictures of a specific person on the public web, yes. PimEyes matches faces; Google matches image files. For finding where a specific image file has been used online, Google is better and free. Neither one indexes dating apps like Tinder, Bumble or Hinge.
No. Tinder, Bumble, Hinge and every other major dating app block external crawlers in their robots.txt and serve profile photos from private CDNs with rotating URLs. PimEyes has no way to index them. Only a tool that queries the dating apps directly, such as PartnerCheck, can search inside them.
PimEyes runs a face detection model over every image on the pages it has crawled, encodes each detected face as a numeric vector called a face embedding, then stores those vectors in a search index. When you upload a photo it encodes the face the same way and finds vectors that are mathematically close. This is why PimEyes matches different photos of the same person taken years apart, while Google reverse image search usually cannot.
PimEyes Open Plus is $29.99 per month for up to 25 searches per day with unblurred match URLs. PROtect, which continuously monitors for new appearances of a face and assists with takedowns, is $89.99 per month. A free tier exists but blurs the actual match URLs so you can see there are matches without knowing where they are.
Yes and it is unlimited. There is no signed-in requirement and no per-search cost. The tradeoff is that Google matches file bytes rather than faces, so any edit to the image (crop, filter, recompression) can break the match. Most dating profile photos have been edited or recompressed at least once, which is why Google usually fails on them.
A dating-app-specific search. PartnerCheck runs one photo against 50+ apps including Tinder, Bumble, Hinge, Feeld and Ashley Madison in under 60 seconds for $19.99. Neither Google nor PimEyes can see inside those apps. PimEyes might surface a public Instagram or LinkedIn from the same face, which is useful adjacent context but not proof of an active dating profile.
Yes, within limits. Face embeddings tolerate ageing better than file matching does. NIST Face Recognition Vendor Test results show top face models stay above 90% accuracy on photos up to about five years old under normal conditions. Beyond ten years, accuracy drops noticeably. Google reverse image search would fail on the same photo unless the exact file were reposted somewhere else on the public web.
Submit an opt-out request on the PimEyes website with a photo of yourself and a government ID. Removal takes two to four weeks typically. It removes your current face embeddings but does not prevent re-indexing later unless you subscribe to their PROtect plan, which monitors and repeats removals automatically.
In the United States, yes. Both tools search publicly accessible content. PimEyes indexes the open web; PartnerCheck queries public dating profiles. You are not accessing anyone's account and you are not intercepting communications. Private use to inform your own decisions is legal. Publishing the results, contacting the person's employer, or using them to harm someone can create separate legal issues.