🔍 Face Search AI

An advanced, performing fast and highly accurate reverse image searches for faces across the internet. Discover where an image appears online, find social media profiles, track digital footprints, and uncover matched identities from public websites using powerful facial recognition search engines.

🌟 Key Features

• 📂 Direct Image Upload & URL Support: Easily upload an image directly through the Apify console using the file uploader widget, or provide a public URL to start your search.
• 🤖 Smart Automation & Captcha Handling: Features built-in intelligence to simulate human behavior, handle complex website interactions, bypass agreement dialogs, and intelligently solve slider captchas automatically using advanced image pixel analysis.
• 🌐 Proxy Integration: Fully compatible with Apify Residential Proxies to ensure robust, uninterrupted searches and avoid geolocation or IP-based blocking.
• 📊 Comprehensive Structured Output: Delivers clean JSON dataset results that include Base64 images, match confidence scores, exact source URLs, and unique internal identifiers.
• 📸 Error & Debug Snapshots: Automatically captures debugging screenshots if a search fails or a captcha gets blocked, ensuring complete transparency and easy troubleshooting directly from your dataset.

🎯 Top Use Cases

• 🕵️ OSINT & Investigations: An essential tool for Open-Source Intelligence (OSINT) gathering, verifying identities, identifying bad actors, and detecting fake accounts or catfishing.
• 🛡️ Brand & Copyright Protection: Monitor your own face or a client's images to find unauthorized usage, impersonation, or copyright infringement across social media platforms like Instagram, LinkedIn, and websites.
• 🔎 Research & Journalism: Trace the origin of viral images and identify individuals from public web records quickly and accurately.

🛠️ How it Works

1. Input Configuration: Provide an image_url (either a direct HTTP URL or an uploaded file).
2. Proxy Setup: Configure residential proxies for optimal success rates (enabled by default).
3. Execution: The actor deploys a headless browser, navigates to a top facial recognition engine, securely uploads the image, bypasses necessary automated checks, and waits for the search to complete to 100%.
4. Data Extraction: Once the search completes, the actor parses the responses to extract the matched visual profiles and saves them into the dataset.

📝 Input Parameters

The Actor is designed for simplicity. Here is a breakdown of the input schema:

• Image (image_url): The image you want to scan. You can upload an image file directly from your computer using the UI widget or paste a direct image URL.
• Proxy Configuration (proxy_configuration): Residential Proxies are highly recommended (and set as the default) to prevent the search engine from flagging the automated requests as bots.

📈 Output Data Structure

The Actor pushes the data directly into your Apify Dataset. Below is a sample of the JSON output format provided for each matched face:

{
  "image": "data:image/webp;base64, ...",
  "score": 85,
  "url": "https://www.instagram.com/*****"
}

Explanation of Output Fields:

• image: A Base64 representation or URL of the matched face found online (renderable directly in the Apify console).
• score: The confidence/accuracy match score (usually 0 to 100, where higher is better).
• url: The direct link to the social profile or webpage where the face was discovered.

💡 Tips for Best Results

• Use High-Quality Images: For the best match scores, upload clear, well-lit, high-resolution, front-facing photos without excessive blur, sunglasses, or heavy obstructions.
• Enable Residential Proxies: To ensure long-running reliability without IP bans, maintaining the default residential proxies network setting is strongly advised.