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Reel Asset Engine

An AI-powered asset search engine for finding high-quality images, videos, and articles across multiple sources. Built with Next.js, it uses LLMs to score and summarize results, helping you quickly find and download the best assets for your projects.

Features

  • Multi-source search - Aggregates results from SearxNG, Pinterest, Unsplash, Freepik, and Pexels
  • AI-powered scoring - Uses LLMs (Ollama, OpenAI, Google Gemini) to rate aesthetic quality and summarize assets
  • Search modes - Search for images, videos, or articles
  • Asset preview - Preview assets in a modal with full details, scores, and aesthetic flags
  • Individual downloads - Download images and videos directly to your browser
  • Bulk downloads - Select multiple assets and build download packages
  • Search history - All searches are saved locally for easy revisiting
  • Asset library - Browse and manage previously discovered assets

Tech Stack

  • Framework: Next.js 16 (App Router)
  • Database: SQLite via better-sqlite3 + Drizzle ORM
  • Styling: Tailwind CSS
  • UI: Headless UI, Lucide icons, Framer Motion
  • AI Providers: Ollama, OpenAI, Google Gemini

Getting Started

Prerequisites

  • Node.js 18+
  • Yarn
  • A running SearxNG instance with JSON format enabled
  • At least one LLM provider (Ollama, OpenAI, or Google Gemini)

Installation

  1. Clone the repository:

    git clone https://github.com/QuantumWars/PublicAssetScraper.git
cd PublicAssetScraper

  2. Install dependencies:

    yarn install

  3. Build the application:

    yarn build

  4. Start the application:

    yarn start

  5. Open http://localhost:3000 and configure your settings (API keys, models, SearxNG URL) in the setup screen.

Development

yarn dev

License

MIT

About

No description, website, or topics provided.

Resources

Readme
MIT license

Contributing

Contributing
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Reel Asset Engine
An AI-powered asset search engine for finding high-quality images, videos, and articles across multiple sources. Built with Next.js, it uses LLMs to score and summarize results, helping you quickly find and download the best assets for your projects.
Features
  • Multi-source search - Aggregates results from SearxNG, Pinterest, Unsplash, Freepik, and Pexels
  • AI-powered scoring - Uses LLMs (Ollama, OpenAI, Google Gemini) to rate aesthetic quality and summarize assets
  • Search modes - Search for images, videos, or articles
  • Asset preview - Preview assets in a modal with full details, scores, and aesthetic flags
  • Individual downloads - Download images and videos directly to your browser
  • Bulk downloads - Select multiple assets and build download packages
  • Search history - All searches are saved locally for easy revisiting
  • Asset library - Browse and manage previously discovered assets
Tech Stack
  • Framework: Next.js 16 (App Router)
  • Database: SQLite via better-sqlite3 + Drizzle ORM
  • Styling: Tailwind CSS
  • UI: Headless UI, Lucide icons, Framer Motion
  • AI Providers: Ollama, OpenAI, Google Gemini
Getting Started
Prerequisites
  • Node.js 18+
  • Yarn
  • A running SearxNG instance with JSON format enabled
  • At least one LLM provider (Ollama, OpenAI, or Google Gemini)
Installation
  1. Clone the repository:
    git clone https://github.com/QuantumWars/PublicAssetScraper.git
cd PublicAssetScraper
  2. Install dependencies:
    yarn install
  3. Build the application:
    yarn build
  4. Start the application:
    yarn start
  5. Open http://localhost:3000 and configure your settings (API keys, models, SearxNG URL) in the setup screen.
Development
yarn dev
License
MIT
About
No description, website, or topics provided.
Resources
Readme
MIT license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Reel Asset Engine
An AI-powered asset search engine for finding high-quality images, videos, and articles across multiple sources. Built with Next.js, it uses LLMs to score and summarize results, helping you quickly find and download the best assets for your projects.
Features
  • Multi-source search - Aggregates results from SearxNG, Pinterest, Unsplash, Freepik, and Pexels
  • AI-powered scoring - Uses LLMs (Ollama, OpenAI, Google Gemini) to rate aesthetic quality and summarize assets
  • Search modes - Search for images, videos, or articles
  • Asset preview - Preview assets in a modal with full details, scores, and aesthetic flags
  • Individual downloads - Download images and videos directly to your browser
  • Bulk downloads - Select multiple assets and build download packages
  • Search history - All searches are saved locally for easy revisiting
  • Asset library - Browse and manage previously discovered assets
Tech Stack
  • Framework: Next.js 16 (App Router)
  • Database: SQLite via better-sqlite3 + Drizzle ORM
  • Styling: Tailwind CSS
  • UI: Headless UI, Lucide icons, Framer Motion
  • AI Providers: Ollama, OpenAI, Google Gemini
Getting Started
Prerequisites
  • Node.js 18+
  • Yarn
  • A running SearxNG instance with JSON format enabled
  • At least one LLM provider (Ollama, OpenAI, or Google Gemini)
Installation
  1. Clone the repository:
    git clone https://github.com/QuantumWars/PublicAssetScraper.git
cd PublicAssetScraper
  2. Install dependencies:
    yarn install
  3. Build the application:
    yarn build
  4. Start the application:
    yarn start
  5. Open http://localhost:3000 and configure your settings (API keys, models, SearxNG URL) in the setup screen.
Development
yarn dev
License
MIT
About
No description, website, or topics provided.
Resources
Readme
MIT license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Reel Asset Engine
An AI-powered asset search engine for finding high-quality images, videos, and articles across multiple sources. Built with Next.js, it uses LLMs to score and summarize results, helping you quickly find and download the best assets for your projects.
Features
  • Multi-source search - Aggregates results from SearxNG, Pinterest, Unsplash, Freepik, and Pexels
  • AI-powered scoring - Uses LLMs (Ollama, OpenAI, Google Gemini) to rate aesthetic quality and summarize assets
  • Search modes - Search for images, videos, or articles
  • Asset preview - Preview assets in a modal with full details, scores, and aesthetic flags
  • Individual downloads - Download images and videos directly to your browser
  • Bulk downloads - Select multiple assets and build download packages
  • Search history - All searches are saved locally for easy revisiting
  • Asset library - Browse and manage previously discovered assets
Tech Stack
  • Framework: Next.js 16 (App Router)
  • Database: SQLite via better-sqlite3 + Drizzle ORM
  • Styling: Tailwind CSS
  • UI: Headless UI, Lucide icons, Framer Motion
  • AI Providers: Ollama, OpenAI, Google Gemini
Getting Started
Prerequisites
  • Node.js 18+
  • Yarn
  • A running SearxNG instance with JSON format enabled
  • At least one LLM provider (Ollama, OpenAI, or Google Gemini)
Installation
  1. Clone the repository:
    git clone https://github.com/QuantumWars/PublicAssetScraper.git
cd PublicAssetScraper
  2. Install dependencies:
    yarn install
  3. Build the application:
    yarn build
  4. Start the application:
    yarn start
  5. Open http://localhost:3000 and configure your settings (API keys, models, SearxNG URL) in the setup screen.
Development
yarn dev
License
MIT
About
No description, website, or topics provided.
Resources
Readme
MIT license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Reel Asset Engine
An AI-powered asset search engine for finding high-quality images, videos, and articles across multiple sources. Built with Next.js, it uses LLMs to score and summarize results, helping you quickly find and download the best assets for your projects.
Features
  • Multi-source search - Aggregates results from SearxNG, Pinterest, Unsplash, Freepik, and Pexels
  • AI-powered scoring - Uses LLMs (Ollama, OpenAI, Google Gemini) to rate aesthetic quality and summarize assets
  • Search modes - Search for images, videos, or articles
  • Asset preview - Preview assets in a modal with full details, scores, and aesthetic flags
  • Individual downloads - Download images and videos directly to your browser
  • Bulk downloads - Select multiple assets and build download packages
  • Search history - All searches are saved locally for easy revisiting
  • Asset library - Browse and manage previously discovered assets
Tech Stack
  • Framework: Next.js 16 (App Router)
  • Database: SQLite via better-sqlite3 + Drizzle ORM
  • Styling: Tailwind CSS
  • UI: Headless UI, Lucide icons, Framer Motion
  • AI Providers: Ollama, OpenAI, Google Gemini
Getting Started
Prerequisites
  • Node.js 18+
  • Yarn
  • A running SearxNG instance with JSON format enabled
  • At least one LLM provider (Ollama, OpenAI, or Google Gemini)
Installation
  1. Clone the repository:
    git clone https://github.com/QuantumWars/PublicAssetScraper.git
cd PublicAssetScraper
  2. Install dependencies:
    yarn install
  3. Build the application:
    yarn build
  4. Start the application:
    yarn start
  5. Open http://localhost:3000 and configure your settings (API keys, models, SearxNG URL) in the setup screen.
Development
yarn dev
License
MIT
About
No description, website, or topics provided.
Resources
Readme
MIT license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Reel Asset Engine
An AI-powered asset search engine for finding high-quality images, videos, and articles across multiple sources. Built with Next.js, it uses LLMs to score and summarize results, helping you quickly find and download the best assets for your projects.
Features
  • Multi-source search - Aggregates results from SearxNG, Pinterest, Unsplash, Freepik, and Pexels
  • AI-powered scoring - Uses LLMs (Ollama, OpenAI, Google Gemini) to rate aesthetic quality and summarize assets
  • Search modes - Search for images, videos, or articles
  • Asset preview - Preview assets in a modal with full details, scores, and aesthetic flags
  • Individual downloads - Download images and videos directly to your browser
  • Bulk downloads - Select multiple assets and build download packages
  • Search history - All searches are saved locally for easy revisiting
  • Asset library - Browse and manage previously discovered assets
Tech Stack
  • Framework: Next.js 16 (App Router)
  • Database: SQLite via better-sqlite3 + Drizzle ORM
  • Styling: Tailwind CSS
  • UI: Headless UI, Lucide icons, Framer Motion
  • AI Providers: Ollama, OpenAI, Google Gemini
Getting Started
Prerequisites
  • Node.js 18+
  • Yarn
  • A running SearxNG instance with JSON format enabled
  • At least one LLM provider (Ollama, OpenAI, or Google Gemini)
Installation
  1. Clone the repository:
    git clone https://github.com/QuantumWars/PublicAssetScraper.git
cd PublicAssetScraper
  2. Install dependencies:
    yarn install
  3. Build the application:
    yarn build
  4. Start the application:
    yarn start
  5. Open http://localhost:3000 and configure your settings (API keys, models, SearxNG URL) in the setup screen.
Development
yarn dev
License
MIT
About
No description, website, or topics provided.
Resources
Readme
MIT license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Reel Asset Engine
An AI-powered asset search engine for finding high-quality images, videos, and articles across multiple sources. Built with Next.js, it uses LLMs to score and summarize results, helping you quickly find and download the best assets for your projects.
Features
  • Multi-source search - Aggregates results from SearxNG, Pinterest, Unsplash, Freepik, and Pexels
  • AI-powered scoring - Uses LLMs (Ollama, OpenAI, Google Gemini) to rate aesthetic quality and summarize assets
  • Search modes - Search for images, videos, or articles
  • Asset preview - Preview assets in a modal with full details, scores, and aesthetic flags
  • Individual downloads - Download images and videos directly to your browser
  • Bulk downloads - Select multiple assets and build download packages
  • Search history - All searches are saved locally for easy revisiting
  • Asset library - Browse and manage previously discovered assets
Tech Stack
  • Framework: Next.js 16 (App Router)
  • Database: SQLite via better-sqlite3 + Drizzle ORM
  • Styling: Tailwind CSS
  • UI: Headless UI, Lucide icons, Framer Motion
  • AI Providers: Ollama, OpenAI, Google Gemini
Getting Started
Prerequisites
  • Node.js 18+
  • Yarn
  • A running SearxNG instance with JSON format enabled
  • At least one LLM provider (Ollama, OpenAI, or Google Gemini)
Installation
  1. Clone the repository:
    git clone https://github.com/QuantumWars/PublicAssetScraper.git
cd PublicAssetScraper
  2. Install dependencies:
    yarn install
  3. Build the application:
    yarn build
  4. Start the application:
    yarn start
  5. Open http://localhost:3000 and configure your settings (API keys, models, SearxNG URL) in the setup screen.
Development
yarn dev
License
MIT
About
No description, website, or topics provided.
Resources
Readme
MIT license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
Reel Asset Engine
An AI-powered asset search engine for finding high-quality images, videos, and articles across multiple sources. Built with Next.js, it uses LLMs to score and summarize results, helping you quickly find and download the best assets for your projects.
Features
  • Multi-source search - Aggregates results from SearxNG, Pinterest, Unsplash, Freepik, and Pexels
  • AI-powered scoring - Uses LLMs (Ollama, OpenAI, Google Gemini) to rate aesthetic quality and summarize assets
  • Search modes - Search for images, videos, or articles
  • Asset preview - Preview assets in a modal with full details, scores, and aesthetic flags
  • Individual downloads - Download images and videos directly to your browser
  • Bulk downloads - Select multiple assets and build download packages
  • Search history - All searches are saved locally for easy revisiting
  • Asset library - Browse and manage previously discovered assets
Tech Stack
  • Framework: Next.js 16 (App Router)
  • Database: SQLite via better-sqlite3 + Drizzle ORM
  • Styling: Tailwind CSS
  • UI: Headless UI, Lucide icons, Framer Motion
  • AI Providers: Ollama, OpenAI, Google Gemini
Getting Started
Prerequisites
  • Node.js 18+
  • Yarn
  • A running SearxNG instance with JSON format enabled
  • At least one LLM provider (Ollama, OpenAI, or Google Gemini)
Installation
  1. Clone the repository:
    git clone https://github.com/QuantumWars/PublicAssetScraper.git
cd PublicAssetScraper
  2. Install dependencies:
    yarn install
  3. Build the application:
    yarn build
  4. Start the application:
    yarn start
  5. Open http://localhost:3000 and configure your settings (API keys, models, SearxNG URL) in the setup screen.
Development
yarn dev
License
MIT
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