# FaceSearch vs Flame Analytics

FaceSearch records 167,598 monthly visits with +66.6% month-over-month growth and Freemium pricing. Flame Analytics records 22,598 monthly visits with -5.6% growth and Contact for Pricing pricing.

| Metric | [FaceSearch](https://openaitools.app/tool/facesearch-ai) | [Flame Analytics](https://openaitools.app/tool/flameanalytics-com) |
| :--- | :--- | :--- |
| Website URL | https://facesearch.net | https://flameanalytics.com |
| Categories | AI Face Recognition, AI Search Engine, AI API | AI For Data Analytics, AI Marketing, AI Data Mining, AI Lead Generation |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 167,598 | 22,598 |
| MoM Growth Rate | +66.6% | -5.6% |
| Primary Market | United States | Spain |
| Direct Visits | 43,240 | 5,946 |
| Review Score | 3.7 | 4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## FaceSearch

FaceSearch is a specialized reverse search product built around faces rather than scenery or objects. Instead of typing a query, you upload a single photo; the system validates that a usable face is present, then scans indexed public imagery from social networks, dating platforms and websites and returns candidate matches with source links and confidence scores. The service markets itself for practical everyday problems: checking whether a dating profile is real, spotting a catfish or romance scam, verifying a candidate or contractor, and finding out whether your own pictures are being reused without permission.

Privacy and legality get explicit treatment throughout the product. Uploads are encrypted in transit and, per the vendor, deleted within 24 hours, with no permanent storage of biometric data. Users must confirm they have the right to search a given image, and stalking or harassment is prohibited. Each search costs three credits, and credits are only consumed when a search completes, so a technical failure gets refunded, though a search that genuinely returns nothing still uses credits.

Pricing follows a credit model with a free entry point. A PRO subscription is listed at $29 per month including 60 credits and features such as search history and PDF export, while pay-as-you-go credit packs range from a small starter pack up to enterprise volumes at progressively lower per-credit rates. Payment options cover major cards, wallets such as Apple Pay and Google Pay, PayPal, regional methods including Alipay and WeChat Pay, and cryptocurrency. The product also offers dedicated search modes per social network and companion apps for iOS and Android.

**Pricing & Plans:** Freemium with a free starting tier, a PRO subscription listed at $29/month for 60 credits plus history and PDF export, and pay-as-you-go credit packs from about $6 for 3 credits up to $599 for 1,000 credits.

- **Reverse image face search:** Search across social profiles, dating sites and general web pages to locate where a given face has appeared publicly.
- **Smart face pre-validation:** Uploaded images are screened before a search runs, so low-quality or faceless photos don't burn your search credits.
- **Exportable PDF reports:** Turn a completed search into a professional report with matches, confidence scores and source links for documentation or legal use.
- **Search history for subscribers:** PRO users can revisit and re-download past search results, keeping a record of everything they have checked.
- **Mobile apps and social-specific searches:** Apps for iOS and Android plus dedicated modes for Instagram, TikTok, Facebook, X, Snapchat, YouTube and LinkedIn.

**Strengths:** Purpose-built for faces rather than generic image matching, with confidence scores and source links for each match; Clear privacy stance: encrypted uploads deleted within 24 hours and no permanent biometric storage; Flexible payment coverage including cards, wallets, PayPal, regional methods and cryptocurrency

**Limitations:** Searches that return no results still consume credits, so unsuccessful checks cost money; Credits are generally non-refundable once purchased, aside from technical failures; Face search raises ethical and legal sensitivities that vary by jurisdiction and must be respected

[Profile (Markdown)](https://openaitools.app/tool/facesearch-ai.md)

## Flame Analytics

Flame Analytics targets anyone who runs a physical venue and needs to know what actually happens inside it. Retailers, shopping centres, supermarkets, hotels, banks, transport hubs and public venues connect their existing camera estate to the platform, and Flame's proprietary AI models turn that footage into real-time metrics. The core product is organised around three pillars: Traffic, which measures inside and outside footfall, monitors occupancy live and computes genuine conversion; Customer Journey, which tracks routes, dwell times and zone interactions to expose in-store behaviour; and Connect, which uses guest WiFi captive portals to capture, segment and market to visitors based on location, profile and behaviour.

Privacy is the defining design constraint rather than an afterthought. Flame's video technology is explicitly built without biometrics, so it does not identify individuals or store facial data, and the platform is positioned as GDPR-compliant by design. The company also emphasises hardware efficiency and reuse of existing cameras, which keeps deployment cost and effort down compared with rip-and-replace sensor rollouts. The reporting layer is aimed at non-technical operators as much as analysts: drag-and-drop dashboards, pre-built templates, dynamic reports, automated scheduling and more than 200 KPIs tailored to different venue types and use cases.

By design the platform is integration-friendly. It connects with leading CCTV and people-counting systems and plugs into cloud platforms, data lakes and enterprise analytics environments, so measurement can flow into the wider data ecosystem instead of living in isolation. Typical use cases span people counting, conversion analytics cross-checked with POS, heatmaps and dwell analysis, occupancy management with capacity alerts, queue and checkout-abandonment analytics, restroom cleaning schedules based on real usage, DOOH audience measurement for retail media sales, and guest or corporate WiFi access. The company is headquartered in Spain, publishes case studies and a partner programme, and sells mainly through a personalised demonstration with the customer's own data.

**Pricing & Plans:** Flame Analytics does not publish public list pricing. The site routes buyers to a "Request a demo" flow and a personalised 20-minute session using the customer's own data and use case, so pricing is contact-for-pricing and typically depends on venue count, modules selected and camera infrastructure.

- **Traffic and conversion measurement:** Measure indoor and outdoor footfall, monitor occupancy in real time and calculate true conversion by cross-checking visitor data against POS transactions.
- **Customer journey and behaviour analysis:** Follow routes through the space, analyse dwell time and zone interactions, and read heatmaps and visit patterns to optimise each touchpoint.
- **Connect with guest WiFi:** Turn guest WiFi into capture, segmentation and marketing activation, launching personalised campaigns based on location, profile and behaviour.
- **Privacy-first, non-biometric AI:** Video analytics built without biometrics and positioned as GDPR-compliant by design, reusing existing CCTV hardware rather than requiring new sensor deployments.
- **200+ KPIs and automated reporting:** Drag-and-drop dashboards, pre-built templates, dynamic reports, scheduled delivery and more than 200 KPIs tailored to retail, malls, hospitality and transit.

**Strengths:** Works on existing CCTV and people-counting hardware, limiting new capex and installation effort; Non-biometric approach makes privacy and GDPR review notably easier for legal teams; More than 200 KPIs with drag-and-drop dashboards aimed at non-technical venue managers; Integrations with cloud platforms, data lakes and enterprise analytics avoid a data silo

**Limitations:** No transparent public pricing; budgeting requires a sales conversation and a tailored quote; Accuracy of insights depends on camera placement and quality of the existing estate; Full value typically requires multiple sites and POS or WiFi integration to be in place

[Profile (Markdown)](https://openaitools.app/tool/flameanalytics-com.md)

## Frequently Asked Questions

### How do FaceSearch and Flame Analytics compare in monthly traffic?

FaceSearch has 167,598 monthly visits, while Flame Analytics has 22,598. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

FaceSearch has a month-over-month growth rate of +66.6%; Flame Analytics has -5.6%.

### How does pricing compare?

FaceSearch: Freemium. Freemium with a free starting tier, a PRO subscription listed at $29/month for 60 credits plus history and PDF export, and pay-as-you-go credit packs from about $6 for 3 credits up to $599 for 1,000 credits. Flame Analytics: Contact for Pricing. Flame Analytics does not publish public list pricing. The site routes buyers to a "Request a demo" flow and a personalised 20-minute session using the customer's own data and use case, so pricing is contact-for-pricing and typically depends on venue count, modules selected and camera infrastructure.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Lenso.ai](https://openaitools.app/tool/lenso-ai) | 1,588,648 | -1.3% | Freemium | Offers broader reverse image and face matching capabilities across the web, but focuses more heavily on general visual search. | [.md](https://openaitools.app/tool/lenso-ai.md) |
| 2 | [FaceSeek](https://openaitools.app/tool/faceseek-ai-face-search) | 350,166 | -11.9% | Freemium | Provides a similar direct reverse face lookup utility, though index coverage and result accuracy may vary. | [.md](https://openaitools.app/tool/faceseek-ai-face-search.md) |
| 3 | [SocialFinder.ai](https://openaitools.app/tool/socialfinder-ai) | 250,665 | +47.7% | Paid | Specializes more strictly in tracking down public social media profiles from photos, with a clean user interface. | [.md](https://openaitools.app/tool/socialfinder-ai.md) |
| 4 | [Face Search AI](https://openaitools.app/tool/face-search-ai) | 211,136 | +10% | Freemium, Paid | Scans public web pages for matching faces similarly, but includes additional built-in privacy guardrails and photo removal. | [.md](https://openaitools.app/tool/face-search-ai.md) |
| 5 | [Face2social](https://openaitools.app/tool/face2social) | 124,020 | -11.4% | Freemium | Matches uploaded photographs against public social media profile pictures, offering a straightforward alternative interface. | [.md](https://openaitools.app/tool/face2social.md) |
| 6 | [Simple Analytics](https://openaitools.app/tool/simpleanalytics-com) | 106,690 | -9.3% | Freemium, Paid | Cookie-free web analytics you can run without consent banners or personal data | [.md](https://openaitools.app/tool/simpleanalytics-com.md) |
| 7 | [viral.app](https://openaitools.app/tool/viral-app) | 89,176 | +14.3% | Free Trial, Paid | The operating system for UGC marketing and short-form analytics | [.md](https://openaitools.app/tool/viral-app.md) |
| 8 | [ComplyCube](https://openaitools.app/tool/complycube) | 85,685 | +39.6% | Contact for Pricing | Identity verification, KYC, KYB and AML compliance in one platform | [.md](https://openaitools.app/tool/complycube.md) |
| 9 | [Facia](https://openaitools.app/tool/facia) | 60,126 | -21.6% | Contact for Pricing | Liveness and deepfake detection for identity verification | [.md](https://openaitools.app/tool/facia.md) |
| 10 | [Polar Analytics](https://openaitools.app/tool/polaranalytics-com) | 44,209 | -23.6% | Free Trial, Paid | The AI data platform that gives ecommerce teams and their agents one trusted source of truth | [.md](https://openaitools.app/tool/polaranalytics-com.md) |

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Source: https://openaitools.app/compare/facesearch-ai-vs-flameanalytics-com

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