# FaceSearch Wiki > A reference site on face search, face recognition and image privacy: every engine, law, case, term and opt-out route, sourced and dated. Published by Humanity Founders, the company behind the FaceSearch engine (https://facesearch.cc). Neutral reference: every engine documented in the same fields, every claim sourced and dated. Not legal advice. Entries never identify private individuals. ## Sections - [Engines](https://facesearch.wiki/engines/): Every face and image search engine, in one format: what it indexes, what it costs, how to opt out. - [Laws](https://facesearch.wiki/laws/): Biometric, data-protection and image-abuse laws by country and US state, with what each one changes for face search. - [Cases](https://facesearch.wiki/cases/): Regulator decisions and court rulings on face search engines and biometric data. - [Glossary](https://facesearch.wiki/glossary/): Plain definitions of the terms used in face search, privacy and image law. - [Concepts](https://facesearch.wiki/concepts/): How the technology works, from a photo to a match, and where it fails. - [Organisations](https://facesearch.wiki/organisations/): Regulators, courts, research bodies, help lines and advocacy groups that shape the field. - [Directories](https://facesearch.wiki/directories/): Hand-built tables: opt-out routes, report forms, removal routes and help lines. - [Timeline](https://facesearch.wiki/timeline/): Face recognition and face search from the first experiments to today, event by event. - [About](https://facesearch.wiki/about/): who publishes the wiki and how entries are written. - [Editorial policy](https://facesearch.wiki/editorial-policy/): sourcing, review cadence, what is not published. ## Engines - [Amazon Rekognition](https://facesearch.wiki/engines/amazon-rekognition/): Amazon Rekognition face APIs: DetectFaces, CompareFaces, collections and SearchFacesByImage, per-image pricing, the free tier, and the police moratorium since 2020. - [Betaface](https://facesearch.wiki/engines/betaface/): Betaface, the face recognition API and SDK vendor: what the API does, the free demo and daily limit, and how it differs from a web face search. - [Bing Visual Search](https://facesearch.wiki/engines/bing-visual-search/): Bing Visual Search: what it identifies, where it is built in (Bing, Edge, Snipping Tool, Windows Photos), what results show, and why it is not a face search engine. - [Clearview AI](https://facesearch.wiki/engines/clearview-ai/): Clearview AI: the law-enforcement face search built on scraped web images, its 100-billion-image claim, who may use it, and fines and orders from seven countries. - [Eyematch.ai](https://facesearch.wiki/engines/eyematch/): Eyematch.ai: a newer face search engine with Standard and Advanced monthly plans, custom tiers, an opt-out form naming Eyematch AI Pte. Ltd., five languages. - [Face Search AI (facesearchai.com)](https://facesearch.wiki/engines/face-search-ai/): Face Search AI (facesearchai.com): 3 free searches a day, plans from $7.77 a month, API from $50, apps and free removal. A different company from FaceSearch. - [FaceCheck.ID](https://facesearch.wiki/engines/facecheck-id/): FaceCheck.ID: what it indexes, its similarity scores and red flags, credit-pack pricing, the free selfie-verified removal, and its children and prohibited-use rules. - [FaceSearch (facesearch.cc)](https://facesearch.wiki/engines/facesearch/): FaceSearch (facesearch.cc): normal and deep search over the public web, a free first search, three paid plans, email removal, apps. By this wiki's publisher. - [FaceSift](https://facesearch.wiki/engines/facesift/): FaceSift: an anonymous face search front end powered by FaceCheck.ID, a free try with a $1 unlock, a removal page, and FaceCheck.ID's disclaimers on use. - [Findsio](https://facesearch.wiki/engines/findsio/): Findsio by Veknika Inc.: US people search with phone lookup and an image lookup, the $1 trial, the FCRA disclaimer, and what is unverified about its face search. - [Google Lens](https://facesearch.wiki/engines/google-lens/): Google Lens as an image search: search by image on desktop and phone, what results show, why it does not find faces, and how Google removes photos of you. - [Lenso.ai](https://facesearch.wiki/engines/lenso-ai/): Lenso.ai: an image search suite with a regional face category, Starter, Professional and Developer plans, Research Mode, alerts, API, opt-out and DMCA routes. - [PimEyes](https://facesearch.wiki/engines/pimeyes/): PimEyes, the best-known face search engine: what it indexes, what the free search shows, plan prices, how the opt-out works, and the regulator actions against it. - [ProFaceFinder](https://facesearch.wiki/engines/profacefinder/): ProFaceFinder: pay-per-pack face search ($7.95 for 2 searches, $11.95 for 5), a blurred free preview, the sources it claims to cover, and its opt-out page. - [Protevio](https://facesearch.wiki/engines/protevio/): Protevio, the GDPR-oriented reverse face search: free daily searches, euro plans with built-in takedowns, the 48-hour opt-out, and the minor-detection block. - [Reversely.ai](https://facesearch.wiki/engines/reversely-ai/): Reversely.ai: image search suite with a face tool, Silver and Gold weekly and monthly plans, the $9.99 single-search unlock, B2B API, and its opt-out and DMCA forms. - [Search4Faces](https://facesearch.wiki/engines/search4faces/): Search4Faces: a face search over VK, Odnoklassniki, TikTok and Clubhouse profile photos, with published dataset sizes and dates, and no stated price or opt-out. - [Social Catfish](https://facesearch.wiki/engines/social-catfish/): Social Catfish: a US people-search service with a face-matching reverse image search, trial-then-subscription pricing, name and phone lookups, and the Scamfish blog. - [TinEye](https://facesearch.wiki/engines/tineye/): TinEye, the image-copy search engine since 2008: fingerprint matching, sort options, free web search, API bundle prices, and why it never finds another face photo. - [Yandex Images](https://facesearch.wiki/engines/yandex-images/): Yandex Images search by image: how it works, why it finds faces more often than Google or Bing, what it returns, and the privacy questions around uploading a photo. ## Laws - [Australia: Privacy Act 1988](https://facesearch.wiki/laws/australia-privacy-act/): Australia's Privacy Act 1988 and face search: sensitive information rules, the Clearview determination, the 2024 privacy tort and doxxing offences, and penalties. - [Canada: PIPEDA, the federal private-sector privacy law](https://facesearch.wiki/laws/canada-pipeda/): Canada's PIPEDA and face search: consent for facial images, the 2021 Clearview findings, the provincial orders upheld on appeal, and Bill C-36 tabled in June 2026. - [EU Artificial Intelligence Act and the ban on scraping faces](https://facesearch.wiki/laws/eu-ai-act/): EU AI Act Article 5(1)(e): the ban on untargeted scraping of facial images for recognition databases, in force since February 2025, fines up to 7% of turnover. - [EU Digital Services Act (DSA) and image removal](https://facesearch.wiki/laws/eu-digital-services-act/): The EU Digital Services Act: notice-and-action duties, statements of reasons, trusted flaggers, very large platform duties, fines up to 6%, and misused photos. - [General Data Protection Regulation (GDPR) and biometric data](https://facesearch.wiki/laws/eu-gdpr/): GDPR and face search: Article 9 biometric data, the household exemption, territorial reach under Article 3(2), fines up to 4%, and the Clearview and PimEyes cases. - [India's Digital Personal Data Protection Act, 2023](https://facesearch.wiki/laws/india-dpdp-act/): India's DPDP Act 2023 and Rules 2025: phased commencement to May 2027, consent and notice duties, the Data Protection Board, penalties up to 250 crore rupees. - [India: Information Technology Act 2000 and the IT Rules 2021](https://facesearch.wiki/laws/india-it-act-and-rules/): India's IT Act 2000 and IT Rules 2021: Section 66E privacy offences, 24-hour removal of intimate and impersonating images, safe harbour, and the 2026 deepfake rules. - [Quebec: Law 25 and the private-sector privacy act](https://facesearch.wiki/laws/quebec-law-25/): Quebec Law 25: express consent for biometric identification, a 60-day database declaration to the CAI, penalties to CAD 25 million or 4 percent, and the Clearview or - [UK GDPR and the Data Protection Act 2018](https://facesearch.wiki/laws/uk-gdpr-and-dpa-2018/): UK GDPR and the Data Protection Act 2018: biometric data as special category data, ICO fines up to 17.5 million pounds or 4%, Clearview, and the 2025 DUA Act. - [UK Online Safety Act 2023 and intimate image offences](https://facesearch.wiki/laws/uk-online-safety-act/): UK Online Safety Act 2023: Ofcom's platform duties, intimate image offences in force since January 2024, the 2026 deepfake creation offence, and misused photos. - [California Consumer Privacy Act (CCPA, as amended by the CPRA)](https://facesearch.wiki/laws/us-california-ccpa/): California CCPA/CPRA: biometric data as sensitive personal information, the rights to know, delete and limit, CPPA and Attorney General enforcement, and face search. - [Fair Credit Reporting Act (FCRA) and face search](https://facesearch.wiki/laws/us-fcra/): How the US Fair Credit Reporting Act applies to face search: why engines disclaim consumer-report use, what a permissible purpose is, and employer duties. - [Illinois Biometric Information Privacy Act (BIPA)](https://facesearch.wiki/laws/us-illinois-bipa/): Illinois BIPA (740 ILCS 14): consent before collecting face geometry, a private right of action, $1,000 to $5,000 per violation, the 2024 amendment, and face search. - [TAKE IT DOWN Act (United States)](https://facesearch.wiki/laws/us-take-it-down-act/): The US TAKE IT DOWN Act: a criminal offence for non-consensual intimate images and deepfakes, the 48-hour platform removal duty enforced by the FTC from May 2026. - [Texas Capture or Use of Biometric Identifier Act (CUBI)](https://facesearch.wiki/laws/us-texas-cubi/): Texas CUBI (Bus. & Com. Code 503.001): consent before capturing face geometry, Attorney General enforcement at $25,000 per violation, the Meta and Google deals. - [Washington biometric law and the My Health My Data Act](https://facesearch.wiki/laws/us-washington-biometric-law/): Washington's two biometric laws: RCW 19.375 (2017, Attorney General only) and the My Health My Data Act (2023, private right of action), and face search. ## Cases - [ACLU v Clearview AI (Illinois BIPA settlement)](https://facesearch.wiki/cases/aclu-v-clearview/): ACLU v Clearview AI: the 2020 BIPA suit, the 2022 settlement banning sales to private companies, and the federal class action whose settlement was vacated in 2026. - [Baden-Wurttemberg data protection authority v PimEyes (Germany)](https://facesearch.wiki/cases/baden-wurttemberg-v-pimeyes/): Baden-Wurttemberg's LfDI inquiry into PimEyes: opened 2021, fine proceeding from December 2022, the move to the Seychelles, and no published decision by 2026. - [PimEyes: Belgian and Hamburg regulators and the noyb lawsuit](https://facesearch.wiki/cases/belgian-dpa-v-pimeyes/): What is and is not on record about PimEyes in Belgium, the Hamburg authority's November 2025 decision, and noyb's 2026 lawsuit over the lack of enforcement. - [CNIL v Clearview AI (France)](https://facesearch.wiki/cases/cnil-v-clearview/): CNIL v Clearview AI: the 2021 formal notice, the EUR 20 million fine of October 2022, the EUR 5.2 million overdue penalty of 2023, and the enforcement gap. - [Cothron v. White Castle System, Inc.](https://facesearch.wiki/cases/cothron-v-white-castle/): Cothron v. White Castle (2023 IL 128004): a BIPA claim accrues on every scan. The per-scan ruling that triggered the 2024 amendment and a USD 9.4 million settlement. - [Autoriteit Persoonsgegevens v Clearview AI (Netherlands)](https://facesearch.wiki/cases/dutch-dpa-v-clearview/): Dutch DPA v Clearview AI: the EUR 30.5 million GDPR fine of 2024, its penalty payments, why the decision is final, and what it means for face search engines. - [Facebook BIPA settlement (USD 650 million)](https://facesearch.wiki/cases/facebook-bipa-settlement/): The Facebook BIPA case: Tag Suggestions, the 2019 Ninth Circuit standing ruling, the USD 650 million settlement of 2021, and what it set for consent. - [FTC v Rite Aid (facial recognition surveillance order)](https://facesearch.wiki/cases/ftc-v-rite-aid/): FTC v Rite Aid: the December 2023 complaint over store facial recognition, the five-year ban, the safeguards the order requires, and what it signals. - [Garante v Clearview AI (Italy)](https://facesearch.wiki/cases/garante-v-clearview/): Garante v Clearview AI: Italy's EUR 20 million fine of 2022, the ban on collecting Italian residents' faces, the deletion order, and the first EU decision. - [Rivera v Google (Google Photos BIPA settlement, USD 100 million)](https://facesearch.wiki/cases/google-photos-bipa-settlement/): Rivera v Google: the Google Photos face-grouping BIPA claims, the standing detour in federal court, and the USD 100 million Cook County settlement approved in 2022. - [Hellenic DPA v Clearview AI (Greece)](https://facesearch.wiki/cases/hellenic-dpa-v-clearview/): Hellenic DPA v Clearview AI: Greece's EUR 20 million fine of July 2022 after a Homo Digitalis complaint, the ban and deletion order, and its place in the EU. - [Information Commissioner v Clearview AI (United Kingdom)](https://facesearch.wiki/cases/ico-v-clearview/): ICO v Clearview AI: the GBP 7.5 million fine, the 2023 tribunal loss, the October 2025 Upper Tribunal judgment, and the Court of Appeal stage pending in 2026. - [Meta Platforms v Joy Timeline HK Limited (CrushAI)](https://facesearch.wiki/cases/meta-v-joy-timeline-crushai/): Meta v Joy Timeline (CrushAI), filed June 2025 in Hong Kong: a platform suing a nudify app maker over evaded ads, the 2026 enforcement wave, and its pending status. - [OAIC v Clearview AI (Australia)](https://facesearch.wiki/cases/oaic-v-clearview/): OAIC v Clearview AI: Australia's 2021 determination, the 2023 tribunal decision affirming it, and the August 2024 decision not to pursue further action. - [Privacy Commissioners v Clearview AI (Canada)](https://facesearch.wiki/cases/opc-v-clearview/): Canada's joint Clearview AI findings of 2021, the provincial orders that followed, and the British Columbia court decisions that upheld them through 2025. - [Rosenbach v. Six Flags Entertainment Corp.](https://facesearch.wiki/cases/rosenbach-v-six-flags/): Rosenbach v. Six Flags (2019 IL 123186): a procedural BIPA violation is enough to sue, no further harm needed. The ruling behind Illinois biometric class actions. ## Glossary - [Biometric data](https://facesearch.wiki/glossary/biometric-data/): Biometric data defined: identifying data from a face, fingerprint, iris or voice, when a photo becomes biometric data, and the GDPR, BIPA and DPDP rules. - [C2PA content credentials](https://facesearch.wiki/glossary/c2pa-content-credentials/): C2PA content credentials defined: signed provenance metadata recording how an image was made and edited, who supports it, and what it does and does not prove. - [Catfishing](https://facesearch.wiki/glossary/catfishing/): Catfishing defined: a false online identity built on borrowed photos, how it differs from a romance scam, the signs, and the photo check that exposes it. - [Consent (data protection)](https://facesearch.wiki/glossary/consent/): Consent in data-protection law: what makes it valid, when it must be explicit, why a public photo is not consent, and why face search engines rarely have it. - [Crawler](https://facesearch.wiki/glossary/crawler/): Crawler defined: the program that fetches public web pages and images for indexing, how robots rules and logins limit it, and what that means for coverage. - [Data broker](https://facesearch.wiki/glossary/data-broker/): Data broker defined: companies that compile and sell profiles of people, how people-search sites differ from face search engines, and the opt-out laws. - [Deep search](https://facesearch.wiki/glossary/deep-search/): Deep search defined: the wider, slower second pass some face and image search engines sell beyond the default search, what it adds, and what it never reaches. - [Deepfake](https://facesearch.wiki/glossary/deepfake/): Deepfake defined: faces, voices and video synthesised or swapped by machine learning, how they are made and detected, and the laws that cover them. - [DMCA takedown](https://facesearch.wiki/glossary/dmca-takedown/): DMCA takedown defined: the US copyright notice that makes online services remove infringing material, what it must contain, when it applies to photos, and limits. - [Doppelganger effect](https://facesearch.wiki/glossary/doppelganger-effect/): The doppelganger effect: why a face search returns look-alikes, how index size and photo quality make it worse, and how to verify a match with non-face evidence. - [EXIF metadata](https://facesearch.wiki/glossary/exif-metadata/): EXIF metadata defined: the camera, time and location data embedded in photo files, what it can reveal, which platforms strip it, and how to remove it before sharing. - [Face detection](https://facesearch.wiki/glossary/face-detection/): Face detection defined: locating faces in an image with boxes and landmarks, how it differs from recognition, common detectors, and the failures that limit a search. - [Face embedding](https://facesearch.wiki/glossary/face-embedding/): Face embedding defined: the numeric vector a network computes from a face, why same-person vectors sit close, how it is compared, and why it is biometric data. - [Face recognition](https://facesearch.wiki/glossary/face-recognition/): Face recognition defined: comparing faces to decide whether they match, the difference between verification, identification and search, and how it is regulated. - [Index (face search)](https://facesearch.wiki/glossary/face-search-index/): Index defined for face search: the stored set of face embeddings and source URLs built from crawled public pages, how it is refreshed, and why its scope matters. - [Facial recognition search](https://facesearch.wiki/glossary/facial-recognition-search/): Facial recognition search defined: using face recognition to search a large image collection or the web for a face, and its relation to reverse face search. - [False positive](https://facesearch.wiki/glossary/false-positive/): False positive in face recognition defined: a reported match between different people, its relation to false negatives and thresholds, and how rates are measured. - [Impersonation (online)](https://facesearch.wiki/glossary/impersonation/): Online impersonation defined: fake accounts using a real person's name and photos, how platforms and the law treat it, and how it is found and reported. - [Liveness detection](https://facesearch.wiki/glossary/liveness-detection/): Liveness detection defined: how systems tell a live, present face from a photo, replay or deepfake, the active and passive methods, and the ISO standard. - [NCII (non-consensual intimate images)](https://facesearch.wiki/glossary/ncii/): NCII defined: non-consensual intimate images, real or synthetic, the laws covering them in the US, UK, EU, India and Australia, and the removal routes. - [One-to-many matching (1:N)](https://facesearch.wiki/glossary/one-to-many-matching/): One-to-many (1:N) face matching defined: a probe face against a gallery of many, how it differs from 1:1 verification, and why errors grow with gallery size. - [Opt-out](https://facesearch.wiki/glossary/opt-out/): Opt-out defined for face search engines: a request to one engine to remove your face from its results, what it requires, what it does, and what it does not do. - [OSINT (open-source intelligence)](https://facesearch.wiki/glossary/osint/): OSINT defined: intelligence from public sources, the image and face techniques it uses, who practises it, and the ethics and laws that bound it. - [Perceptual hash](https://facesearch.wiki/glossary/perceptual-hash/): Perceptual hash defined: an image fingerprint that survives resizing and compression, how it differs from other hashes and embeddings, and how StopNCII uses it. - [Public web](https://facesearch.wiki/glossary/public-web/): Public web defined: the pages anyone can load without a login, the only part of the internet a face search engine can index, and what falls outside it. - [Re-encoding](https://facesearch.wiki/glossary/re-encoding/): Re-encoding defined: decoding an uploaded image and writing a clean new file, why services do it (metadata removal, safety, normalisation), and its effect. - [Reverse face search](https://facesearch.wiki/glossary/reverse-face-search/): Reverse face search defined: a query by face rather than by image file, how it differs from reverse image search, what a result contains, and which engines offer it. - [Reverse image search](https://facesearch.wiki/glossary/reverse-image-search/): Reverse image search defined: searching the web with a picture as the query, what it finds (copies, crops, edits), the main engines, and why it is not a face search. - [Romance scam](https://facesearch.wiki/glossary/romance-scam/): Romance scam defined: fraud through a false online relationship, the reported losses, the scripts and photos behind them, the law, and where victims report it. - [Sextortion](https://facesearch.wiki/glossary/sextortion/): Sextortion defined: blackmail with intimate images, who is targeted, the first steps that stop it, the laws and removal routes, and the limits of a face search. - [Similarity score](https://facesearch.wiki/glossary/similarity-score/): Similarity score defined: the number from comparing two face embeddings, what it does and does not mean, thresholds, and why a high score is a lead, not proof. - [Source page](https://facesearch.wiki/glossary/source-page/): Source page defined: the web page where a face search found a matching image, why it is the actionable part of a result, and how engines differ in showing it. ## Concepts - [Accuracy, bias and testing](https://facesearch.wiki/concepts/accuracy-bias-and-testing/): How face recognition accuracy is measured, what NIST FRTE reports found on error rates and demographic differences, and why marketing claims cannot be checked. - [Building a web-scale face index](https://facesearch.wiki/concepts/building-a-web-scale-face-index/): How face search engines crawl the public web, store billions of embeddings for nearest-neighbour lookup, keep the index fresh, and decide what counts as public. - [Deepfakes and synthetic faces](https://facesearch.wiki/concepts/deepfakes-and-synthetic-faces/): How deepfakes and AI-generated faces are made, why a face search cannot find a face that never existed, the tells that still work, and the laws that now apply. - [Embeddings and similarity](https://facesearch.wiki/concepts/embeddings-and-similarity/): What a face embedding is, how networks place the same face close together, how cosine similarity becomes a score, and why a high score is not proof of identity. - [Face detection and alignment](https://facesearch.wiki/concepts/face-detection-and-alignment/): What face detection and alignment do before a face is compared, how detectors work, why small or turned faces fail, and the photo properties that matter. - [How a face search works](https://facesearch.wiki/concepts/how-a-face-search-works/): The face search pipeline step by step: detection, alignment, embedding, index lookup, ranking and source pages, with the limits at each stage. - [Image provenance and metadata](https://facesearch.wiki/concepts/image-provenance-and-metadata/): What EXIF metadata, platform identifiers and C2PA content credentials reveal about a photo, who strips them, and how provenance helps or fails when tracing an image. - [Opt-outs, removal, and the limits of both](https://facesearch.wiki/concepts/opt-outs-removal-and-the-limits-of-both/): Opting out of a face search engine, de-listing from Google and removing a photo from its host: the legal bases, routes, timelines and limits of each. ## Organisations - [CNIL (Commission nationale de l'informatique et des libertés)](https://facesearch.wiki/organisations/cnil/): France's data protection authority: its powers under the GDPR, the Clearview AI fine and penalty, its facial recognition guidance, and how to complain. - [European Data Protection Board (EDPB)](https://facesearch.wiki/organisations/edpb/): The EU body that coordinates national data protection authorities: its powers, its facial recognition and scraping guidance, and its 2026 smart glasses statement. - [Electronic Frontier Foundation (EFF)](https://facesearch.wiki/organisations/eff/): The US digital rights group: its litigation and campaigns on face recognition, the Atlas of Surveillance, BIPA briefs, and its self-defence guides. - [Indian Cyber Crime Coordination Centre (I4C)](https://facesearch.wiki/organisations/i4c-india/): India's national cybercrime coordination body: the cybercrime.gov.in portal, the 1930 helpline, what to report there and how, and its scam advisories. - [Information Commissioner's Office (ICO)](https://facesearch.wiki/organisations/ico/): The UK data protection regulator: what it enforces, its biometric guidance, the Clearview AI fine and appeals, and how to complain about a face search engine. - [Internet Freedom Foundation (IFF)](https://facesearch.wiki/organisations/internet-freedom-foundation/): India's digital rights group: Project Panoptic's tracker of facial recognition deployments, its legal work on privacy and the DPDP Act, and how to use it. - [National Center for Missing & Exploited Children (NCMEC)](https://facesearch.wiki/organisations/ncmec/): The US clearinghouse for child exploitation reports: the CyberTipline, the Take It Down hashing service for minors' intimate images, and how to use them. - [National Institute of Standards and Technology (NIST)](https://facesearch.wiki/organisations/nist/): The US standards agency whose FRTE and FATE programmes publish the only continuing independent tests of face recognition accuracy, including demographic effects. - [noyb (None of Your Business)](https://facesearch.wiki/organisations/noyb/): The European privacy litigation non-profit: its GDPR complaints against Clearview AI and its 2026 lawsuit over the Hamburg regulator's inaction on PimEyes. - [Office of the Australian Information Commissioner (OAIC)](https://facesearch.wiki/organisations/oaic/): Australia's privacy regulator: its powers under the Privacy Act, the Clearview AI determination and the 2024 decision not to pursue it, and how to complain. - [Office of the Privacy Commissioner of Canada (OPC)](https://facesearch.wiki/organisations/opc-canada/): Canada's federal privacy regulator: its role under PIPEDA, the 2021 Clearview AI findings with the provincial commissioners, and how to complain. - [StopNCII.org](https://facesearch.wiki/organisations/stopncii/): The hash-based service for adults' intimate images: who runs it, how hashing works, which platforms participate, who is eligible and what it cannot do. ## Directories - [Helplines for image abuse, scams and online harm, by country](https://facesearch.wiki/directories/helplines/): Helplines and reporting portals for image abuse, sextortion, romance fraud, stalking and crisis in the US, UK, India, Canada, Australia and Europe. - [Removing intimate images shared without consent, by country](https://facesearch.wiki/directories/ncii-removal-by-country/): Intimate image removal routes in 11 countries: the law, where to report, the platform deadline and the helpline, from the US and UK to India and Brazil. - [Opt-out routes for every face search engine](https://facesearch.wiki/directories/opt-out-routes/): Opt-out routes for 20 face and image search engines side by side: form or email, verification asked for, stated timeline, cost and link. Checked Nov 6, 2026. - [Where to report a fake or impersonating account](https://facesearch.wiki/directories/report-impersonation/): Official impersonation report routes for 13 platforms, from Instagram and Facebook to Tinder and Telegram, with who can file and what each asks for. Entry count: 108. Sections: Engines, Laws, Cases, Glossary, Concepts, Organisations, Directories, Timeline.