FakeSec - AI Deepfake Detector

Gallery

About

FakeSec.com - The AI-Generated Image & Deepfake Detection PlatformThe StoryThe explosion of AI-generated content - from Midjourney portraits to deepfake videos - has created an urgent, global problem: you can no longer trust what you see online. Journalists need to verify sources. Marketers need to protect brand integrity. Dating platforms need to catch catfish. Legal teams need forensic evidence. Schools need to detect AI submissions.FakeSec was built to solve this. It's a fully functional, production-ready SaaS that analyzes photos and videos for signs of AI generation using a proprietary 12-method ensemble engine - something no competitor offers. While most detectors rely on a single neural network and return a simple "real or fake" answer, FakeSec runs 3 AI models + 9 forensic analysis techniques simultaneously, giving users a transparent, detailed breakdown of exactly why an image is likely real or AI-generated.The platform is live, monetized, and serving users across 3 channels: a modern web app, a Telegram bot, and a developer API - all from a single efficient codebase.Zero Marketing - Already Getting UsersThis project has never been advertised. Not a single dollar has been spent on marketing. Despite that, the platform is already attracting real users organically:Total registered users: 26 (9 web + 17 Telegram bot)Total analyses performed: 397 (85 web + 312 bot)Google OAuth sign-ups: 7Marketing budget spent: $0Advertising campaigns run: NoneLive since: February 2026Users still registering: Yes - latest registration todayAll 26 users found the platform on their own - through organic search, social media content published by the automated pipeline, or direct discovery. New users are still signing up every week with zero promotion.The entire development focus has been on building a complete, production-grade product - not on marketing. All monetization infrastructure (LemonSqueezy payments, Telegram Stars, API subscriptions) is fully wired and tested, ready to convert the moment traffic arrives.What this means for the new owner: the hardest part - building the product - is done. The platform works, users are finding it organically, and the payment system is ready. All that's missing is a marketing budget. Run Google Ads on "AI image detector", "deepfake checker", "is this photo real" - these are high-intent, low-competition keywords - and the revenue will follow. The product-market fit is already validated by real users choosing to register and use the tool without any prompting.Development InvestmentThis is not a weekend project or a ChatGPT wrapper. Here are the real numbers:Total lines of code: 44,505Total project files: 994Python backend code: 14,417 lines across 88 filesFrontend code (HTML/CSS/JS): 11,510 lines across 37 filesLocalization content: 12,599 lines (25 languages)SEO & metadata: 5,989 linesMedia assets: 766 files (images, videos, fonts)Estimated development hours: 1,100 - 1,500+ hoursEstimated development cost: $70,000 - $100,000+Breakdown of development cost by component:AI engine (12 analyzers, scorer, ensemble logic) - 200+ hrs - $16,000 - $24,000Proprietary model training (data collection, fine-tuning) - 150+ hrs - $15,000 - $22,500Web application (auth, handlers, payments, admin, middleware) - 140+ hrs - $8,400 - $11,200Telegram bot (handlers, Stars payments, inline mode, cards) - 60+ hrs - $3,000 - $4,200REST API (endpoints, rate limiting, key system, docs) - 30+ hrs - $1,800 - $2,400Content automation (video parser, reels generator, 4-platform publisher) - 120+ hrs - $6,000 - $8,400Frontend (landing page, dashboard, check UI, admin panel, API docs) - 160+ hrs - $6,400 - $9,600Localization (25 languages, 242 keys each, URL routing, RTL) - 80+ hrs - $3,200 - $4,000Database architecture (schema, async ORM, migrations) - 25+ hrs - $1,500 - $2,000SEO (125-URL sitemap, JSON-LD, hreflang, llms.txt, ai.json) - 30+ hrs - $1,200 - $1,800DevOps (Nginx, SSL, deployment, process management) - 20+ hrs - $1,200 - $1,600UI/UX design (landing, result cards, PIL image generation) - 40+ hrs - $2,000 - $2,800Testing & debugging - 60+ hrs - $3,000You're not paying for development time - you're skipping it entirely and getting a finished product at a fraction of what it cost to build.How It Works (The Technology)Every uploaded image goes through 12 independent analyses:3 Neural Network Models:1 proprietary custom-trained model (included in the sale - ~1.5GB trained weights, significant R&D investment)2 third-party high-accuracy models9 Forensic Analysis Methods:FFT (frequency domain analysis)ELA (error level / compression artifacts)Noise pattern detectionEXIF metadata inspectionTexture analysisColor distribution analysisBenford's Law statistical checkEdge detection analysisPixel-level analysisThe engine uses weighted ensemble scoring with intelligent model consensus - if multiple models strongly agree, their verdict is boosted. The final result is a 0-100% confidence score with a clear verdict: REAL, UNCERTAIN, or AI.Video analysis is live and working (Beta): the system extracts 8-20 keyframes (scaled by duration), runs full analysis on each, then applies 5 additional video-specific checks (temporal consistency, motion noise, color stability, edge coherence, codec metadata). The video analyzer is fully functional right now - not a roadmap item. Most competitors don't offer video detection at all.This multi-method approach is a genuine technical moat - it's not something a buyer of a single-API wrapper can replicate overnight.3 Distribution Channels, 3 Revenue Streams1. Web Application (fakesec.com)Conversion-optimized dark-themed landing pageDrag-and-drop upload with real-time progress (Server-Sent Events)User dashboard with full check historyGoogle OAuth + email/password registrationAdmin panel: user management, analytics, promo codes, revenue trackingGDPR-compliant (Privacy Policy, Terms of Service, Cookie Policy)2. Telegram Bot (@FakeSecBot)Built on aiogram 3.15 - the most modern Python Telegram frameworkPhoto & video analysis with auto-generated visual result cardsNative Telegram Stars in-app purchasesInline mode (users can analyze images from any chat)Built-in referral system (+5 tokens for referrer, +3 for new user)Dedicated support bot (@FakeSecSupportBot)10 languages supported in-bot3. Developer REST APIStarter: 1,000 tokens/month - $29/moPro: 5,000 tokens/month - $99/moBusiness: 25,000 tokens/month - $249/moRate-limited endpoints, test/live API key systemFull API documentation page includedJSON responses with complete 12-method breakdownsMonetization DetailsWeb token packs (LemonSqueezy): $2.99 / $9.99 / $19.99 (one-time)API subscriptions (LemonSqueezy): $29 / $99 / $249 per month (recurring)Telegram Stars: 150 / 500 / 1,000 Stars per pack (Telegram native payments)Token economics: 1 photo check = 1 token. 1 video check (Beta) = 5 tokens. New users get 3 free tokens (no credit card required). Referral program drives organic acquisition.LemonSqueezy handles all payment processing, webhooks, and order fulfillment - fully automated, no manual intervention needed.25 Languages - Global From Day OneThe entire web platform is localized into 25 languages: English, Russian, German, French, Spanish, Portuguese, Turkish, Italian, Arabic, Indonesian, Chinese, Japanese, Korean, Hindi, Vietnamese, Thai, Polish, Dutch, Ukrainian, Swedish, Danish, Norwegian, Czech, Romanian, and Greek.URL-prefix routing (/ru/check, /zh/check, /es/check, etc.)Localized meta tags, page titles, FAQ sections, and legal pagesRTL support for ArabicXML Sitemap with 125 URLs (25 languages x 5 pages) + full hreflang implementationThis isn't a "translate later" TODO - it's done, deployed, and indexed.Built-In Content Marketing AutomationThe sale includes a suite of automated content tools that are actively running right now, generating and publishing organic marketing content:Video Parser - auto-discovers trending AI/deepfake videos on YouTube, downloads them, runs FakeSec analysis, and generates branded verdict videosReels Generator - creates vertical short-form content (9:16 format) optimized for TikTok and Instagram Reels, complete with scan animations and result revealsMulti-Platform Publisher - currently live and auto-posting content to Facebook, Instagram, and Threads via official Meta APIs. YouTube publishing is also configured. All credentials, OAuth tokens, and API integrations are included.This isn't theoretical - the content pipeline is running on automation as you read this, publishing branded FakeSec content to social media 24/7 with zero manual effort.SEO & AI DiscoveryXML Sitemap (125 URLs) with XSL stylesheet for browser viewingJSON-LD structured data: Application, Organization, FAQ, HowTo schemasOpen Graph + Twitter Card meta tags on every pagerobots.txt configured to allow all major AI crawlers (GPTBot, Claude-Web, Bingbot, PerplexityBot)llms.txt, llms-full.txt, and ai.json - structured product info for AI assistants and LLM-powered searchAlready being crawled by Google, Bing, Semrush, Ahrefs, and AppleTech StackBackend: Python 3.11, aiohttp (fully async)Telegram Bot: aiogram 3.15Database: PostgreSQL + asyncpg + SQLAlchemy asyncAI/ML: Proprietary model + third-party modelsAuthentication: JWT + Google OAuth 2.0 + bcryptPayments: LemonSqueezy + Telegram StarsHosting: Hetzner VPS, Debian 12, NginxFrontend: Vanilla HTML/CSS/JS - no heavy frameworks, fast load timesSingle-process architecture: bot + web server share AI models in memory (~3GB RAM). Efficient and easy to maintain.What's IncludedComplete source code (backend + frontend) - 44,500+ linesDomain: fakesec.comProprietary trained AI model (~1.5GB weights)PostgreSQL database with full schema and existing users25 web translation files (242 keys each)10 Telegram bot locale filesContent automation tools (video parser, reels generator, multi-platform publisher)LemonSqueezy store with configured products & variantsTelegram bot tokens (main bot + support bot)Google OAuth app credentialsYouTube / Instagram / Facebook / Threads API integrations & tokensHetzner VPS (transferable)Admin panel with full analyticsFull onboarding support during transitionWhy This Market Is ExplodingAI image generation is growing exponentially - DALL-E, Midjourney, Stable Diffusion, Flux, and now video generators like Sora and KlingVideo deepfakes are the next frontier - FakeSec already has a working video detector (currently in Beta), putting it ahead of 95% of competitors who can only handle static imagesRegulatory pressure is accelerating: EU AI Act mandates AI content labeling, US states are passing deepfake legislation, platforms are requiring AI disclosureEvery industry needs this: journalism, legal, insurance, education, dating, e-commerce, real estate, social media moderationThe AI detection market is projected to reach $5B+ by 2030Growth Opportunities for the New OwnerJust add traffic - the product is complete, payments are wired, users are already converting organically. A $500/month Google Ads budget on high-intent keywords could generate $2,000-5,000/month in token sales and API subscriptionsVideo detection full release - the video analyzer is already built and working in Beta; graduating it to GA unlocks premium pricing and a massive differentiatorEnterprise tier - unlimited API plans for agencies and platforms ($500-2,000/mo)Browser extension - right-click "Check with FakeSec" on any image (massive distribution channel)White-label API - license the engine to dating apps, news agencies, social platformsBulk analysis - upload folders/archives for batch processingMobile app - wrap the web app in a native shellAffiliate program - let bloggers and journalists earn commissionAd monetization - add non-intrusive ads on free tier result pagesOperating CostsRunning costs are minimal:Hetzner VPS: ~$20-40/monthDomain renewal: ~$12/yearLemonSqueezy: transaction fees only (no monthly cost)No ongoing API costs for AI models (all run locally)FakeSec is a complete, production-grade SaaS with real technology behind it - not a template, not a wrapper around someone else's API. Over 44,000 lines of code, 1,100+ development hours, and $70,000+ in development cost. The product is built, users are already coming in with zero marketing, and the payment infrastructure is ready. All the new owner needs to do is turn on the traffic.