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Pinnacle - Local Document Intelligence

Documentation

Pinnacle is a professional-grade, local-first document intelligence platform designed for privacy-conscious users and enterprises. Built with Rust and Tauri, it provides exceptional performance for complex PDF operations without ever letting your data leave your device.

Read the full documentation at pbse.github.io/Pinnacle.

Why Pinnacle?

  • Privacy First: All processing happens 100% locally on your machine. No cloud, no tracking.
  • Local AI: Chat with your documents, generate summaries, and extract insights using local LLMs.
  • High Performance: Powered by a Rust backend for lightning-fast document manipulation.
  • Intelligence Built-in: Automated metadata extraction, content analysis, and smart organization.

🤖 Local AI Setup

Pinnacle uses local Large Language Models (LLMs) to provide document intelligence without compromising your privacy. You can choose between two providers:

Option 1: Ollama (Recommended)

Ollama provides the best performance and supports a wider range of models. It runs as a separate process on your machine.

  1. Install Ollama: Download and install from ollama.com.
  2. Download the Model: Open your terminal and run: 
    ollama run llama3.2:1b
    (Pinnacle is optimized for the Llama 3.2 1B model for its balance of speed and intelligence).
  3. Launch Pinnacle: The app will automatically detect your local Ollama instance. You can verify the connection in the Assistant pane.

Option 2: Web-LLM (Zero-Install)

If you don't want to install extra software, Pinnacle can run models directly in your browser's WebGPU environment via MLC Web-LLM.

  1. Requirements: A browser with WebGPU support (Chrome 113+, Edge 113+).
  2. Setup: Simply switch the AI Provider to "Web-LLM" in the app settings.
  3. First Run: On your first AI task, Pinnacle will download the Llama-3.2-1B-Instruct model weights (~1GB) and cache them in your browser. This only happens once.

🛠 Core Capabilities

  • Assistant: Chat with single PDFs or your entire library. Ask questions, find citations, and synthesize information.
  • Smart Analysis: Automatically generate summaries, suggested tags, and BibTeX entries.
  • Document Insights: Extract entities like dates, organizations, and currency amounts.
  • Precise Manipulation: Merge, split, reorder, and rotate PDF pages.
  • Secure Annotations: Highlight, comment, and markup documents natively.
  • Professional Signatures: Add visual signatures or cryptographic PFX-based digital signatures.
  • Advanced Security: Flatten annotations, redact sensitive info, and manage PDF encryption.

🚀 Quick Start for Developers

Prerequisites

Setup

  1. Clone & Install

    git clone https://github.com/pbse/Pinnacle.git
cd Pinnacle
npm install

  2. Run in Development

    npm run tauri dev

  3. Run Tests

    npm run test# Runs all tests (Backend, UI, E2E)
npm run test:backend # Rust unit tests
npm run test:ui # Vitest UI tests

📱 Supported Platforms

  • ✅ macOS (Silicon & Intel)
  • ✅ Windows (10/11)
  • ✅ Linux
  • ✅ iPadOS/iOS (Native & WebAssembly)

📁 Project Structure

  • src/ui/: Svelte 5 frontend with Tailwind CSS and Runes for state management.
  • src-tauri/src/pdf/: High-performance Rust modules for PDF logic.
  • src-tauri/tauri.conf.json: Application configuration and security allowlists.

📄 License

MIT License - See LICENSE for details.

Maintainer

Prashant Bansal

About

Local Document Intelligence Cross Platform App

pbse.github.io/Pinnacle/

Topics

documentdocument-intelligencepdf

Resources

Readme
MIT license
Activity

Stars

0 stars

Watchers

1 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
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Pinnacle - Local Document Intelligence
Documentation
Pinnacle is a professional-grade, local-first document intelligence platform designed for privacy-conscious users and enterprises. Built with Rust and Tauri, it provides exceptional performance for complex PDF operations without ever letting your data leave your device.
Read the full documentation at pbse.github.io/Pinnacle.
Why Pinnacle?
  • Privacy First: All processing happens 100% locally on your machine. No cloud, no tracking.
  • Local AI: Chat with your documents, generate summaries, and extract insights using local LLMs.
  • High Performance: Powered by a Rust backend for lightning-fast document manipulation.
  • Intelligence Built-in: Automated metadata extraction, content analysis, and smart organization.
🤖 Local AI Setup
Pinnacle uses local Large Language Models (LLMs) to provide document intelligence without compromising your privacy. You can choose between two providers:
Option 1: Ollama (Recommended)
Ollama provides the best performance and supports a wider range of models. It runs as a separate process on your machine.
  1. Install Ollama: Download and install from ollama.com.
  2. Download the Model: Open your terminal and run:

    ollama run llama3.2:1b
    (Pinnacle is optimized for the Llama 3.2 1B model for its balance of speed and intelligence).
  3. Launch Pinnacle: The app will automatically detect your local Ollama instance. You can verify the connection in the Assistant pane.
Option 2: Web-LLM (Zero-Install)
If you don't want to install extra software, Pinnacle can run models directly in your browser's WebGPU environment via MLC Web-LLM.
  1. Requirements: A browser with WebGPU support (Chrome 113+, Edge 113+).
  2. Setup: Simply switch the AI Provider to "Web-LLM" in the app settings.
  3. First Run: On your first AI task, Pinnacle will download the Llama-3.2-1B-Instruct model weights (~1GB) and cache them in your browser. This only happens once.
🛠 Core Capabilities
  • Assistant: Chat with single PDFs or your entire library. Ask questions, find citations, and synthesize information.
  • Smart Analysis: Automatically generate summaries, suggested tags, and BibTeX entries.
  • Document Insights: Extract entities like dates, organizations, and currency amounts.
  • Precise Manipulation: Merge, split, reorder, and rotate PDF pages.
  • Secure Annotations: Highlight, comment, and markup documents natively.
  • Professional Signatures: Add visual signatures or cryptographic PFX-based digital signatures.
  • Advanced Security: Flatten annotations, redact sensitive info, and manage PDF encryption.
🚀 Quick Start for Developers
Prerequisites
Setup
  1. Clone & Install
    git clone https://github.com/pbse/Pinnacle.git
cd Pinnacle
npm install
  2. Run in Development
    npm run tauri dev
  3. Run Tests
    npm run test# Runs all tests (Backend, UI, E2E)
npm run test:backend # Rust unit tests
npm run test:ui # Vitest UI tests
📱 Supported Platforms
  • ✅ macOS (Silicon & Intel)
  • ✅ Windows (10/11)
  • ✅ Linux
  • ✅ iPadOS/iOS (Native & WebAssembly)
📁 Project Structure
  • src/ui/: Svelte 5 frontend with Tailwind CSS and Runes for state management.
  • src-tauri/src/pdf/: High-performance Rust modules for PDF logic.
  • src-tauri/tauri.conf.json: Application configuration and security allowlists.
📄 License
MIT License - See LICENSE for details.
Maintainer
Prashant Bansal
About
Local Document Intelligence Cross Platform App
pbse.github.io/Pinnacle/
Topics
documentdocument-intelligencepdf
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 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
Pinnacle - Local Document Intelligence
Documentation
Pinnacle is a professional-grade, local-first document intelligence platform designed for privacy-conscious users and enterprises. Built with Rust and Tauri, it provides exceptional performance for complex PDF operations without ever letting your data leave your device.
Read the full documentation at pbse.github.io/Pinnacle.
Why Pinnacle?
  • Privacy First: All processing happens 100% locally on your machine. No cloud, no tracking.
  • Local AI: Chat with your documents, generate summaries, and extract insights using local LLMs.
  • High Performance: Powered by a Rust backend for lightning-fast document manipulation.
  • Intelligence Built-in: Automated metadata extraction, content analysis, and smart organization.
🤖 Local AI Setup
Pinnacle uses local Large Language Models (LLMs) to provide document intelligence without compromising your privacy. You can choose between two providers:
Option 1: Ollama (Recommended)
Ollama provides the best performance and supports a wider range of models. It runs as a separate process on your machine.
  1. Install Ollama: Download and install from ollama.com.
  2. Download the Model: Open your terminal and run:

    ollama run llama3.2:1b
    (Pinnacle is optimized for the Llama 3.2 1B model for its balance of speed and intelligence).
  3. Launch Pinnacle: The app will automatically detect your local Ollama instance. You can verify the connection in the Assistant pane.
Option 2: Web-LLM (Zero-Install)
If you don't want to install extra software, Pinnacle can run models directly in your browser's WebGPU environment via MLC Web-LLM.
  1. Requirements: A browser with WebGPU support (Chrome 113+, Edge 113+).
  2. Setup: Simply switch the AI Provider to "Web-LLM" in the app settings.
  3. First Run: On your first AI task, Pinnacle will download the Llama-3.2-1B-Instruct model weights (~1GB) and cache them in your browser. This only happens once.
🛠 Core Capabilities
  • Assistant: Chat with single PDFs or your entire library. Ask questions, find citations, and synthesize information.
  • Smart Analysis: Automatically generate summaries, suggested tags, and BibTeX entries.
  • Document Insights: Extract entities like dates, organizations, and currency amounts.
  • Precise Manipulation: Merge, split, reorder, and rotate PDF pages.
  • Secure Annotations: Highlight, comment, and markup documents natively.
  • Professional Signatures: Add visual signatures or cryptographic PFX-based digital signatures.
  • Advanced Security: Flatten annotations, redact sensitive info, and manage PDF encryption.
🚀 Quick Start for Developers
Prerequisites
Setup
  1. Clone & Install
    git clone https://github.com/pbse/Pinnacle.git
cd Pinnacle
npm install
  2. Run in Development
    npm run tauri dev
  3. Run Tests
    npm run test# Runs all tests (Backend, UI, E2E)
npm run test:backend # Rust unit tests
npm run test:ui # Vitest UI tests
📱 Supported Platforms
  • ✅ macOS (Silicon & Intel)
  • ✅ Windows (10/11)
  • ✅ Linux
  • ✅ iPadOS/iOS (Native & WebAssembly)
📁 Project Structure
  • src/ui/: Svelte 5 frontend with Tailwind CSS and Runes for state management.
  • src-tauri/src/pdf/: High-performance Rust modules for PDF logic.
  • src-tauri/tauri.conf.json: Application configuration and security allowlists.
📄 License
MIT License - See LICENSE for details.
Maintainer
Prashant Bansal
About
Local Document Intelligence Cross Platform App
pbse.github.io/Pinnacle/
Topics
documentdocument-intelligencepdf
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 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
Pinnacle - Local Document Intelligence
Documentation
Pinnacle is a professional-grade, local-first document intelligence platform designed for privacy-conscious users and enterprises. Built with Rust and Tauri, it provides exceptional performance for complex PDF operations without ever letting your data leave your device.
Read the full documentation at pbse.github.io/Pinnacle.
Why Pinnacle?
  • Privacy First: All processing happens 100% locally on your machine. No cloud, no tracking.
  • Local AI: Chat with your documents, generate summaries, and extract insights using local LLMs.
  • High Performance: Powered by a Rust backend for lightning-fast document manipulation.
  • Intelligence Built-in: Automated metadata extraction, content analysis, and smart organization.
🤖 Local AI Setup
Pinnacle uses local Large Language Models (LLMs) to provide document intelligence without compromising your privacy. You can choose between two providers:
Option 1: Ollama (Recommended)
Ollama provides the best performance and supports a wider range of models. It runs as a separate process on your machine.
  1. Install Ollama: Download and install from ollama.com.
  2. Download the Model: Open your terminal and run:

    ollama run llama3.2:1b
    (Pinnacle is optimized for the Llama 3.2 1B model for its balance of speed and intelligence).
  3. Launch Pinnacle: The app will automatically detect your local Ollama instance. You can verify the connection in the Assistant pane.
Option 2: Web-LLM (Zero-Install)
If you don't want to install extra software, Pinnacle can run models directly in your browser's WebGPU environment via MLC Web-LLM.
  1. Requirements: A browser with WebGPU support (Chrome 113+, Edge 113+).
  2. Setup: Simply switch the AI Provider to "Web-LLM" in the app settings.
  3. First Run: On your first AI task, Pinnacle will download the Llama-3.2-1B-Instruct model weights (~1GB) and cache them in your browser. This only happens once.
🛠 Core Capabilities
  • Assistant: Chat with single PDFs or your entire library. Ask questions, find citations, and synthesize information.
  • Smart Analysis: Automatically generate summaries, suggested tags, and BibTeX entries.
  • Document Insights: Extract entities like dates, organizations, and currency amounts.
  • Precise Manipulation: Merge, split, reorder, and rotate PDF pages.
  • Secure Annotations: Highlight, comment, and markup documents natively.
  • Professional Signatures: Add visual signatures or cryptographic PFX-based digital signatures.
  • Advanced Security: Flatten annotations, redact sensitive info, and manage PDF encryption.
🚀 Quick Start for Developers
Prerequisites
Setup
  1. Clone & Install
    git clone https://github.com/pbse/Pinnacle.git
cd Pinnacle
npm install
  2. Run in Development
    npm run tauri dev
  3. Run Tests
    npm run test# Runs all tests (Backend, UI, E2E)
npm run test:backend # Rust unit tests
npm run test:ui # Vitest UI tests
📱 Supported Platforms
  • ✅ macOS (Silicon & Intel)
  • ✅ Windows (10/11)
  • ✅ Linux
  • ✅ iPadOS/iOS (Native & WebAssembly)
📁 Project Structure
  • src/ui/: Svelte 5 frontend with Tailwind CSS and Runes for state management.
  • src-tauri/src/pdf/: High-performance Rust modules for PDF logic.
  • src-tauri/tauri.conf.json: Application configuration and security allowlists.
📄 License
MIT License - See LICENSE for details.
Maintainer
Prashant Bansal
About
Local Document Intelligence Cross Platform App
pbse.github.io/Pinnacle/
Topics
documentdocument-intelligencepdf
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 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
Pinnacle - Local Document Intelligence
Documentation
Pinnacle is a professional-grade, local-first document intelligence platform designed for privacy-conscious users and enterprises. Built with Rust and Tauri, it provides exceptional performance for complex PDF operations without ever letting your data leave your device.
Read the full documentation at pbse.github.io/Pinnacle.
Why Pinnacle?
  • Privacy First: All processing happens 100% locally on your machine. No cloud, no tracking.
  • Local AI: Chat with your documents, generate summaries, and extract insights using local LLMs.
  • High Performance: Powered by a Rust backend for lightning-fast document manipulation.
  • Intelligence Built-in: Automated metadata extraction, content analysis, and smart organization.
🤖 Local AI Setup
Pinnacle uses local Large Language Models (LLMs) to provide document intelligence without compromising your privacy. You can choose between two providers:
Option 1: Ollama (Recommended)
Ollama provides the best performance and supports a wider range of models. It runs as a separate process on your machine.
  1. Install Ollama: Download and install from ollama.com.
  2. Download the Model: Open your terminal and run:

    ollama run llama3.2:1b
    (Pinnacle is optimized for the Llama 3.2 1B model for its balance of speed and intelligence).
  3. Launch Pinnacle: The app will automatically detect your local Ollama instance. You can verify the connection in the Assistant pane.
Option 2: Web-LLM (Zero-Install)
If you don't want to install extra software, Pinnacle can run models directly in your browser's WebGPU environment via MLC Web-LLM.
  1. Requirements: A browser with WebGPU support (Chrome 113+, Edge 113+).
  2. Setup: Simply switch the AI Provider to "Web-LLM" in the app settings.
  3. First Run: On your first AI task, Pinnacle will download the Llama-3.2-1B-Instruct model weights (~1GB) and cache them in your browser. This only happens once.
🛠 Core Capabilities
  • Assistant: Chat with single PDFs or your entire library. Ask questions, find citations, and synthesize information.
  • Smart Analysis: Automatically generate summaries, suggested tags, and BibTeX entries.
  • Document Insights: Extract entities like dates, organizations, and currency amounts.
  • Precise Manipulation: Merge, split, reorder, and rotate PDF pages.
  • Secure Annotations: Highlight, comment, and markup documents natively.
  • Professional Signatures: Add visual signatures or cryptographic PFX-based digital signatures.
  • Advanced Security: Flatten annotations, redact sensitive info, and manage PDF encryption.
🚀 Quick Start for Developers
Prerequisites
Setup
  1. Clone & Install
    git clone https://github.com/pbse/Pinnacle.git
cd Pinnacle
npm install
  2. Run in Development
    npm run tauri dev
  3. Run Tests
    npm run test# Runs all tests (Backend, UI, E2E)
npm run test:backend # Rust unit tests
npm run test:ui # Vitest UI tests
📱 Supported Platforms
  • ✅ macOS (Silicon & Intel)
  • ✅ Windows (10/11)
  • ✅ Linux
  • ✅ iPadOS/iOS (Native & WebAssembly)
📁 Project Structure
  • src/ui/: Svelte 5 frontend with Tailwind CSS and Runes for state management.
  • src-tauri/src/pdf/: High-performance Rust modules for PDF logic.
  • src-tauri/tauri.conf.json: Application configuration and security allowlists.
📄 License
MIT License - See LICENSE for details.
Maintainer
Prashant Bansal
About
Local Document Intelligence Cross Platform App
pbse.github.io/Pinnacle/
Topics
documentdocument-intelligencepdf
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 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
Pinnacle - Local Document Intelligence
Documentation
Pinnacle is a professional-grade, local-first document intelligence platform designed for privacy-conscious users and enterprises. Built with Rust and Tauri, it provides exceptional performance for complex PDF operations without ever letting your data leave your device.
Read the full documentation at pbse.github.io/Pinnacle.
Why Pinnacle?
  • Privacy First: All processing happens 100% locally on your machine. No cloud, no tracking.
  • Local AI: Chat with your documents, generate summaries, and extract insights using local LLMs.
  • High Performance: Powered by a Rust backend for lightning-fast document manipulation.
  • Intelligence Built-in: Automated metadata extraction, content analysis, and smart organization.
🤖 Local AI Setup
Pinnacle uses local Large Language Models (LLMs) to provide document intelligence without compromising your privacy. You can choose between two providers:
Option 1: Ollama (Recommended)
Ollama provides the best performance and supports a wider range of models. It runs as a separate process on your machine.
  1. Install Ollama: Download and install from ollama.com.
  2. Download the Model: Open your terminal and run:

    ollama run llama3.2:1b
    (Pinnacle is optimized for the Llama 3.2 1B model for its balance of speed and intelligence).
  3. Launch Pinnacle: The app will automatically detect your local Ollama instance. You can verify the connection in the Assistant pane.
Option 2: Web-LLM (Zero-Install)
If you don't want to install extra software, Pinnacle can run models directly in your browser's WebGPU environment via MLC Web-LLM.
  1. Requirements: A browser with WebGPU support (Chrome 113+, Edge 113+).
  2. Setup: Simply switch the AI Provider to "Web-LLM" in the app settings.
  3. First Run: On your first AI task, Pinnacle will download the Llama-3.2-1B-Instruct model weights (~1GB) and cache them in your browser. This only happens once.
🛠 Core Capabilities
  • Assistant: Chat with single PDFs or your entire library. Ask questions, find citations, and synthesize information.
  • Smart Analysis: Automatically generate summaries, suggested tags, and BibTeX entries.
  • Document Insights: Extract entities like dates, organizations, and currency amounts.
  • Precise Manipulation: Merge, split, reorder, and rotate PDF pages.
  • Secure Annotations: Highlight, comment, and markup documents natively.
  • Professional Signatures: Add visual signatures or cryptographic PFX-based digital signatures.
  • Advanced Security: Flatten annotations, redact sensitive info, and manage PDF encryption.
🚀 Quick Start for Developers
Prerequisites
Setup
  1. Clone & Install
    git clone https://github.com/pbse/Pinnacle.git
cd Pinnacle
npm install
  2. Run in Development
    npm run tauri dev
  3. Run Tests
    npm run test# Runs all tests (Backend, UI, E2E)
npm run test:backend # Rust unit tests
npm run test:ui # Vitest UI tests
📱 Supported Platforms
  • ✅ macOS (Silicon & Intel)
  • ✅ Windows (10/11)
  • ✅ Linux
  • ✅ iPadOS/iOS (Native & WebAssembly)
📁 Project Structure
  • src/ui/: Svelte 5 frontend with Tailwind CSS and Runes for state management.
  • src-tauri/src/pdf/: High-performance Rust modules for PDF logic.
  • src-tauri/tauri.conf.json: Application configuration and security allowlists.
📄 License
MIT License - See LICENSE for details.
Maintainer
Prashant Bansal
About
Local Document Intelligence Cross Platform App
pbse.github.io/Pinnacle/
Topics
documentdocument-intelligencepdf
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 watching
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0 forks
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, '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('^' + ".*" + '

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Pinnacle - Local Document Intelligence
Documentation
Pinnacle is a professional-grade, local-first document intelligence platform designed for privacy-conscious users and enterprises. Built with Rust and Tauri, it provides exceptional performance for complex PDF operations without ever letting your data leave your device.
Read the full documentation at pbse.github.io/Pinnacle.
Why Pinnacle?
  • Privacy First: All processing happens 100% locally on your machine. No cloud, no tracking.
  • Local AI: Chat with your documents, generate summaries, and extract insights using local LLMs.
  • High Performance: Powered by a Rust backend for lightning-fast document manipulation.
  • Intelligence Built-in: Automated metadata extraction, content analysis, and smart organization.
🤖 Local AI Setup
Pinnacle uses local Large Language Models (LLMs) to provide document intelligence without compromising your privacy. You can choose between two providers:
Option 1: Ollama (Recommended)
Ollama provides the best performance and supports a wider range of models. It runs as a separate process on your machine.
  1. Install Ollama: Download and install from ollama.com.
  2. Download the Model: Open your terminal and run:

    ollama run llama3.2:1b
    (Pinnacle is optimized for the Llama 3.2 1B model for its balance of speed and intelligence).
  3. Launch Pinnacle: The app will automatically detect your local Ollama instance. You can verify the connection in the Assistant pane.
Option 2: Web-LLM (Zero-Install)
If you don't want to install extra software, Pinnacle can run models directly in your browser's WebGPU environment via MLC Web-LLM.
  1. Requirements: A browser with WebGPU support (Chrome 113+, Edge 113+).
  2. Setup: Simply switch the AI Provider to "Web-LLM" in the app settings.
  3. First Run: On your first AI task, Pinnacle will download the Llama-3.2-1B-Instruct model weights (~1GB) and cache them in your browser. This only happens once.
🛠 Core Capabilities
  • Assistant: Chat with single PDFs or your entire library. Ask questions, find citations, and synthesize information.
  • Smart Analysis: Automatically generate summaries, suggested tags, and BibTeX entries.
  • Document Insights: Extract entities like dates, organizations, and currency amounts.
  • Precise Manipulation: Merge, split, reorder, and rotate PDF pages.
  • Secure Annotations: Highlight, comment, and markup documents natively.
  • Professional Signatures: Add visual signatures or cryptographic PFX-based digital signatures.
  • Advanced Security: Flatten annotations, redact sensitive info, and manage PDF encryption.
🚀 Quick Start for Developers
Prerequisites
Setup
  1. Clone & Install
    git clone https://github.com/pbse/Pinnacle.git
cd Pinnacle
npm install
  2. Run in Development
    npm run tauri dev
  3. Run Tests
    npm run test# Runs all tests (Backend, UI, E2E)
npm run test:backend # Rust unit tests
npm run test:ui # Vitest UI tests
📱 Supported Platforms
  • ✅ macOS (Silicon & Intel)
  • ✅ Windows (10/11)
  • ✅ Linux
  • ✅ iPadOS/iOS (Native & WebAssembly)
📁 Project Structure
  • src/ui/: Svelte 5 frontend with Tailwind CSS and Runes for state management.
  • src-tauri/src/pdf/: High-performance Rust modules for PDF logic.
  • src-tauri/tauri.conf.json: Application configuration and security allowlists.
📄 License
MIT License - See LICENSE for details.
Maintainer
Prashant Bansal
About
Local Document Intelligence Cross Platform App
pbse.github.io/Pinnacle/
Topics
documentdocument-intelligencepdf
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 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
Pinnacle - Local Document Intelligence
Documentation
Pinnacle is a professional-grade, local-first document intelligence platform designed for privacy-conscious users and enterprises. Built with Rust and Tauri, it provides exceptional performance for complex PDF operations without ever letting your data leave your device.
Read the full documentation at pbse.github.io/Pinnacle.
Why Pinnacle?
  • Privacy First: All processing happens 100% locally on your machine. No cloud, no tracking.
  • Local AI: Chat with your documents, generate summaries, and extract insights using local LLMs.
  • High Performance: Powered by a Rust backend for lightning-fast document manipulation.
  • Intelligence Built-in: Automated metadata extraction, content analysis, and smart organization.
🤖 Local AI Setup
Pinnacle uses local Large Language Models (LLMs) to provide document intelligence without compromising your privacy. You can choose between two providers:
Option 1: Ollama (Recommended)
Ollama provides the best performance and supports a wider range of models. It runs as a separate process on your machine.
  1. Install Ollama: Download and install from ollama.com.
  2. Download the Model: Open your terminal and run:

    ollama run llama3.2:1b
    (Pinnacle is optimized for the Llama 3.2 1B model for its balance of speed and intelligence).
  3. Launch Pinnacle: The app will automatically detect your local Ollama instance. You can verify the connection in the Assistant pane.
Option 2: Web-LLM (Zero-Install)
If you don't want to install extra software, Pinnacle can run models directly in your browser's WebGPU environment via MLC Web-LLM.
  1. Requirements: A browser with WebGPU support (Chrome 113+, Edge 113+).
  2. Setup: Simply switch the AI Provider to "Web-LLM" in the app settings.
  3. First Run: On your first AI task, Pinnacle will download the Llama-3.2-1B-Instruct model weights (~1GB) and cache them in your browser. This only happens once.
🛠 Core Capabilities
  • Assistant: Chat with single PDFs or your entire library. Ask questions, find citations, and synthesize information.
  • Smart Analysis: Automatically generate summaries, suggested tags, and BibTeX entries.
  • Document Insights: Extract entities like dates, organizations, and currency amounts.
  • Precise Manipulation: Merge, split, reorder, and rotate PDF pages.
  • Secure Annotations: Highlight, comment, and markup documents natively.
  • Professional Signatures: Add visual signatures or cryptographic PFX-based digital signatures.
  • Advanced Security: Flatten annotations, redact sensitive info, and manage PDF encryption.
🚀 Quick Start for Developers
Prerequisites
Setup
  1. Clone & Install
    git clone https://github.com/pbse/Pinnacle.git
cd Pinnacle
npm install
  2. Run in Development
    npm run tauri dev
  3. Run Tests
    npm run test# Runs all tests (Backend, UI, E2E)
npm run test:backend # Rust unit tests
npm run test:ui # Vitest UI tests
📱 Supported Platforms
  • ✅ macOS (Silicon & Intel)
  • ✅ Windows (10/11)
  • ✅ Linux
  • ✅ iPadOS/iOS (Native & WebAssembly)
📁 Project Structure
  • src/ui/: Svelte 5 frontend with Tailwind CSS and Runes for state management.
  • src-tauri/src/pdf/: High-performance Rust modules for PDF logic.
  • src-tauri/tauri.conf.json: Application configuration and security allowlists.
📄 License
MIT License - See LICENSE for details.
Maintainer
Prashant Bansal
About
Local Document Intelligence Cross Platform App
pbse.github.io/Pinnacle/
Topics
documentdocument-intelligencepdf
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages