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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Humanizer Pro | Advanced Text Refinement</title>
<script src="https://cdn.tailwindcss.com"></script>
<script src="https://kit.fontawesome.com/a076d05399.js" crossorigin="anonymous"></script>
<style>
.academic-bg {
background: linear-gradient(135deg, #1a365d 0%, #153e75 100%);
}
.expert-shadow {
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</style>
</head>
<body class="bg-gray-50">
<div class="academic-bg text-white py-12 px-4">
<div class="max-w-5xl mx-auto">
<div class="text-center mb-8">
<h1 class="text-4xl md:text-5xl font-bold mb-3 expert-shadow">Humanizer Pro</h1>
<p class="text-xl opacity-90">Professional-Grade Text Refinement System</p>
</div>
<div class="bg-white bg-opacity-10 backdrop-filter backdrop-blur-sm rounded-xl p-6 shadow-lg border border-white border-opacity-20">
<textarea id="inputText" placeholder="Paste analytical or AI-generated text for refinement..." class="w-full p-5 rounded-lg bg-white bg-opacity-95 text-gray-800 focus:outline-none focus:ring-2 focus:ring-blue-300 text-lg"></textarea>
<div class="mt-6 grid grid-cols-1 md:grid-cols-3 gap-4">
<div class="space-y-2">
<label for="rigor" class="block text-sm font-medium">Analytical Rigor</label>
<div class="flex items-center">
<input type="range" id="rigor" min="1" max="10" value="8" class="w-full h-2 bg-blue-200 rounded-lg appearance-none cursor-pointer">
<span id="rigorValue" class="ml-3 text-sm font-medium w-8">8</span>
</div>
</div>
<div class="space-y-2">
<label for="complexity" class="block text-sm font-medium">Conceptual Density</label>
<div class="flex items-center">
<input type="range" id="complexity" min="1" max="10" value="7" class="w-full h-2 bg-blue-200 rounded-lg appearance-none cursor-pointer">
<span id="complexityValue" class="ml-3 text-sm font-medium w-8">7</span>
</div>
</div>
<div class="flex space-x-4 justify-center md:justify-end pt-2">
<button id="rewriteBtn" class="px-6 py-3 bg-blue-700 hover:bg-blue-800 rounded-lg font-medium transition-all cursor-pulse">
<i class="fas fa-microscope mr-2"></i>Refine Text
</button>
</div>
</div>
</div>
</div>
</div>
<div class="max-w-5xl mx-auto py-12 px-4">
<div id="outputContainer" class="hidden fade-in">
<div class="flex flex-col md:flex-row justify-between items-start md:items-center mb-6">
<div>
<h2 class="text-2xl font-bold text-gray-800">Refined Analysis</h2>
<p class="text-sm text-gray-600 mt-1">Processed with academic rigor and analytical precision</p>
</div>
<div class="mt-3 md:mt-0 flex space-x-3">
<button id="copyBtn" class="px-4 py-2 bg-gray-700 hover:bg-gray-800 text-white rounded-lg text-sm font-medium transition-all">
<i class="fas fa-copy mr-1"></i>Copy
</button>
<button id="downloadBtn" class="px-4 py-2 bg-blue-700 hover:bg-blue-800 text-white rounded-lg text-sm font-medium transition-all">
<i class="fas fa-file-download mr-1"></i>PDF
</button>
</div>
</div>
<div class="mb-6 grid grid-cols-1 md:grid-cols-3 gap-4 text-sm">
<div class="bg-gray-100 px-4 py-3 rounded-lg">
<div class="flex justify-between">
<span class="text-gray-600">Original Complexity</span>
<span id="originalComplexity" class="font-medium">0.0</span>
</div>
<div class="w-full bg-gray-300 rounded-full h-1.5 mt-1">
<div id="originalComplexityBar" class="bg-blue-600 h-1.5 rounded-full" style="width: 0%"></div>
</div>
</div>
<div class="bg-blue-50 px-4 py-3 rounded-lg border border-blue-100">
<div class="flex justify-between">
<span class="text-blue-800">Refined Complexity</span>
<span id="refinedComplexity" class="font-medium text-blue-800">0.0</span>
</div>
<div class="w-full bg-blue-200 rounded-full h-1.5 mt-1">
<div id="refinedComplexityBar" class="bg-blue-700 h-1.5 rounded-full" style="width: 0%"></div>
</div>
</div>
<div class="bg-purple-50 px-4 py-3 rounded-lg border border-purple-100">
<div class="flex justify-between">
<span class="text-purple-800">Conceptual Depth</span>
<span id="conceptualDepth" class="font-medium text-purple-800">0%</span>
</div>
<div class="w-full bg-purple-200 rounded-full h-1.5 mt-1">
<div id="conceptualDepthBar" class="bg-purple-600 h-1.5 rounded-full" style="width: 0%"></div>
</div>
</div>
</div>
<div id="outputText" class="output-text bg-white p-8 rounded-xl shadow-md border border-gray-200 text-gray-800 whitespace-pre-wrap"></div>
<div class="mt-8 bg-gray-50 p-5 rounded-xl border border-gray-200">
<h3 class="text-lg font-semibold text-gray-800 mb-3">Refinement Analysis</h3>
<div id="analysisNotes" class="text-sm text-gray-700 space-y-2">
<!-- Will be populated by JS -->
</div>
</div>
</div>
<div class="mt-16">
<div class="bg-white rounded-xl shadow-md overflow-hidden border border-gray-200">
<div class="p-8">
<h3 class="text-2xl font-bold text-gray-800 mb-6">Methodological Framework</h3>
<div class="grid grid-cols-1 md:grid-cols-2 gap-10">
<div>
<div class="flex items-center mb-4">
<div class="bg-blue-100 p-2 rounded-lg mr-4">
<svg class="h-6 w-6 text-blue-700" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13 10V3L4 14h7v7l9-11h-7z" />
</svg>
</div>
<h4 class="text-lg font-semibold text-gray-800">Cognitive Complexity Enhancement</h4>
</div>
<p class="text-gray-700 text-sm leading-relaxed">
Our system employs advanced linguistic models to elevate the conceptual density of text while maintaining coherence. The proprietary algorithm enhances:
</p>
<ul class="mt-3 space-y-2 text-sm text-gray-700">
<li class="flex items-start">
<svg class="h-4 w-4 text-blue-600 mt-1 mr-2" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M5 13l4 4L19 7" />
</svg>
<span>Hierarchical argument structures</span>
</li>
<li class="flex items-start">
<svg class="h-4 w-4 text-blue-600 mt-1 mr-2" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M5 13l4 4L19 7" />
</svg>
<span>Multidimensional concept linking</span>
</li>
<li class="flex items-start">
<svg class="h-4 w-4 text-blue-600 mt-1 mr-2" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M5 13l4 4L19 7" />
</svg>
<span>Contextual bridging mechanisms</span>
</li>
</ul>
</div>
<div>
<div class="flex items-center mb-4">
<div class="bg-green-100 p-2 rounded-lg mr-4">
<svg class="h-6 w-6 text-green-700" fill="none" viewBox="0 0 24 24" stroke="currentColor">
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</svg>
</div>
<h4 class="text-lg font-semibold text-gray-800">Rhetorical Precision Matrix</h4>
</div>
<p class="text-gray-700 text-sm leading-relaxed">
The refinement process incorporates a sophisticated schema to optimize:
</p>
<ul class="mt-3 space-y-2 text-sm text-gray-700">
<li class="flex items-start">
<svg class="h-4 w-4 text-green-600 mt-1 mr-2" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M5 13l4 4L19 7" />
</svg>
<span>Terminological consistency with semantic flexibility</span>
</li>
<li class="flex items-start">
<svg class="h-4 w-4 text-green-600 mt-1 mr-2" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M5 13l4 4L19 7" />
</svg>
<span>Strategic omission of redundant qualifiers</span>
</li>
<li class="flex items-start">
<svg class="h-4 w-4 text-green-600 mt-1 mr-2" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M5 13l4 4L19 7" />
</svg>
<span>Controlled conceptual recursion patterns</span>
</li>
</ul>
</div>
</div>
</div>
</div>
</div>
</div>
<script>
document.addEventListener('DOMContentLoaded', function() {
// DOM Elements
const inputText = document.getElementById('inputText');
const outputText = document.getElementById('outputText');
const outputContainer = document.getElementById('outputContainer');
const rewriteBtn = document.getElementById('rewriteBtn');
const copyBtn = document.getElementById('copyBtn');
const downloadBtn = document.getElementById('downloadBtn');
const rigorSlider = document.getElementById('rigor');
const complexitySlider = document.getElementById('complexity');
const rigorValue = document.getElementById('rigorValue');
const complexityValue = document.getElementById('complexityValue');
const analysisNotes = document.getElementById('analysisNotes');
// Metrics elements
const originalComplexity = document.getElementById('originalComplexity');
const refinedComplexity = document.getElementById('refinedComplexity');
const conceptualDepth = document.getElementById('conceptualDepth');
const originalComplexityBar = document.getElementById('originalComplexityBar');
const refinedComplexityBar = document.getElementById('refinedComplexityBar');
const conceptualDepthBar = document.getElementById('conceptualDepthBar');
// Update slider displays
rigorSlider.addEventListener('input', () => {
rigorValue.textContent = rigorSlider.value;
});
complexitySlider.addEventListener('input', () => {
complexityValue.textContent = complexitySlider.value;
});
// Main rewrite function
rewriteBtn.addEventListener('click', async () => {
if (inputText.value.trim() === '') {
alert('Please enter analytical text for refinement');
return;
}
const originalText = inputText.value;
outputContainer.classList.remove('hidden');
outputText.textContent = '';
analysisNotes.innerHTML = '';
// Show processing state
outputText.textContent = "Implementing multidimensional semantic refinement...";
try {
// Calculate initial metrics
const originalMetrics = calculateMetrics(originalText);
originalComplexity.textContent = originalMetrics.complexity.toFixed(1);
originalComplexityBar.style.width = `${Math.min(100, originalMetrics.complexity * 10)}%`;
// Simulate processing delay for realism
await new Promise(resolve => setTimeout(resolve, 1000 + Math.random() * 1500));
// Process text with scientific refinement
const refinedText = applyScientificRefinement(
originalText,
parseInt(rigorSlider.value),
parseInt(complexitySlider.value)
);
outputText.textContent = refinedText;
// Calculate refined metrics
const refinedMetrics = calculateMetrics(refinedText);
refinedComplexity.textContent = refinedMetrics.complexity.toFixed(1);
refinedComplexityBar.style.width = `${Math.min(100, refinedMetrics.complexity * 10)}%`;
conceptualDepth.textContent = `${Math.min(100, refinedMetrics.depth)}%`;
conceptualDepthBar.style.width = `${Math.min(100, refinedMetrics.depth)}%`;
// Generate analysis notes
generateAnalysisNotes(originalMetrics, refinedMetrics);
outputContainer.scrollIntoView({ behavior: 'smooth' });
} catch (error) {
console.error('Refinement error:', error);
outputText.textContent = "Refinement process encountered an anomaly. Please retry with adjusted parameters.";
}
});
// Text metric calculations
function calculateMetrics(text) {
const words = text.split(/\s+/).filter(w => w.length > 0);
const sentences = text.match(/[^\.!\?]+[\.!\?]+/g) || [text];
// Calculate lexical density (content words vs function words)
const contentWords = words.filter(w => w.length > 4 && !w.match(/^(the|and|but|or|of|to|in|it|is|that|this|was)$/i));
const lexicalDensity = (contentWords.length / words.length) * 100 || 0;
// Sentence complexity
const avgSentenceLength = words.length / sentences.length;
const sentenceComplexity = sentences.filter(s =>
s.split(/\s+/).length > 15 ||
s.match(/[:,;—–-]/g)?.length > 1
).length / sentences.length;
// Conceptual depth estimate
const uniqueConcepts = new Set(contentWords.map(w => w.toLowerCase()));
const conceptReuse = contentWords.length / uniqueConcepts.size;
return {
length: words.length,
sentences: sentences.length,
lexicalDensity,
complexity: (lexicalDensity * 0.3) + (avgSentenceLength * 0.4) + (sentenceComplexity * 0.3),
depth: Math.min(100, ((uniqueConcepts.size / words.length) * 150) + (conceptReuse * 50))
};
}
// Sophisticated text refinement
function applyScientificRefinement(text, rigor, complexity) {
// Break into logical sections
let sections = text.split(/\n\s*\n/).filter(s => s.trim().length > 0);
// Process each section with academic rigor
let refinedSections = sections.map(section => {
// Split into discourses
let discourses = splitIntellectualDiscourses(section);
// Analyze and enhance each discourse
let enhancedDiscourses = discourses.map(discourse => {
const processed = enhanceAnalyticalDepth(
discourse,
rigor,
complexity
);
return ensureStructuralCohesion(processed);
});
return assembleScholarlySection(enhancedDiscourses, rigor);
});
return optimizedAcademicPresentation(refinedSections.join('\n\n'));
}
// Intelligent discourse splitting
function splitIntellectualDiscourses(text) {
const discourseMarkers = [
'however', 'nevertheless', 'conversely', 'moreover',
'furthermore', 'accordingly', 'consequently', 'similarly',
'indeed', 'notwithstanding', 'paradoxically', 'significantly'
];
let discourses = [];
let current = '';
const sentences = text.split(/(?<=[.!?])\s+(?=[A-Z])/).filter(s => s.trim().length > 0);
for (let i = 0; i < sentences.length; i++) {
current += (current ? ' ' : '') + sentences[i];
// Check for discourse markers in next sentence
if (i < sentences.length - 1) {
const nextSentence = sentences[i+1].toLowerCase();
if (discourseMarkers.some(marker => nextSentence.startsWith(marker))) {
discourses.push(current);
current = '';
}
}
}
if (current) discourses.push(current);
return discourses.length > 0 ? discourses : [text];
}
// Analytical enhancement
function enhanceAnalyticalDepth(text, rigor, complexity) {
const replacements = {
// Conceptual strengthening
"important": ["critical", "fundamental", "essential", "paramount", "cardinal"],
"because": ["as evinced by", "as substantiated by", "in light of the fact that", "given that"],
"shows": ["demonstrates", "evinces", "substantiated", "corroborates"],
"many": ["a multiplicity of", "a plurality of", "a diverse array of"],
"can": ["is capable of", "exhibits the capacity to", "manifests the potential to"],
// Precision enhancement
"good": ["effective", "optimal", "superior", "competent"],
"bad": ["deficient", "suboptimal", "counterproductive", "problematic"],
"big": ["substantial", "considerable", "significant", "sizable"],
"small": ["limited", "insubstantial", "marginal", "negligible"],
// Active voice conversion
"is achieved by": "results from",
"can be seen as": "demonstrates",
"it has been observed that": "observation reveals",
"was found to be": "demonstrated"
};
// Apply rigorous replacements
let processed = text;
for (const [key, replacementsList] of Object.entries(replacements)) {
const regex = new RegExp(`\\b${key}\\b`, 'gi');
processed = processed.replace(regex, (match) => {
const options = Array.isArray(replacementsList) ? replacementsList : [replacementsList];
const selected = options[Math.floor(Math.random() * options.length)];
return match === match.toUpperCase() ? selected.toUpperCase() :
match[0] === match[0].toUpperCase() ? selected[0].toUpperCase() + selected.slice(1) : selected;
});
}
// Add rigorous qualifiers based on parameters
if (rigor > 7) {
const qualifiers = [
"Empirical evidence demonstrates ",
"Methodologically rigorous analysis reveals ",
"Theoretical frameworks suggest ",
"Conceptually, this observation implies ",
"Systematic investigation confirms "
];
if (Math.random() < (rigor - 5)/10) {
processed = qualifiers[Math.floor(Math.random() * qualifiers.length)] +
processed[0].toLowerCase() + processed.slice(1);
}
}
// Add hierarchical connections
if (complexity > 5 && processed.split(/\s+/).length > 15) {
const connectors = [
"a phenomenon which, when considered in relation to",
"an observation that derives meaning from its interplay with",
"a conceptual framework that intersects meaningfully with",
"a dynamic that acquires analytical significance through its connection to"
];
if (Math.random() < (complexity - 4)/12) {
const insertPos = Math.floor(processed.length * 0.4 + Math.random() * processed.length * 0.2);
processed = processed.slice(0, insertPos) + ", " +
connectors[Math.floor(Math.random() * connectors.length)] +
processed.slice(insertPos);
}
}
// Transform passive to active where appropriate
if (rigor > 5) {
processed = processed.replace(
/(\w+) is ([\w\s]+)ed by (\w+)/gi,
"$3 $2s $1"
);
processed = processed.replace(
/it can be (seen|observed) that/gi,
"analysis reveals"
);
}
return processed;
}
// Structural optimization
function ensureStructuralCohesion(text) {
// Remove redundancy
let processed = text.replace(
/(?:however,\s*|nevertheless,\s*)(?:it should be noted that|we must consider that|it is important to remember that)\s*([^.!?]+)/gi,
"however, $1"
);
// Ensure proper academic discourse markers
const sentenceMarkers = {
"but": "however",
"and": "moreover",
"so": "consequently",
"also": "additionally"
};
for (const [key, value] of Object.entries(sentenceMarkers)) {
const regex = new RegExp(`^${key}\\s`, 'gi');
processed = processed.replace(regex, `${value} `);
const midRegex = new RegExp(`\\.\\s*${key}\\s`, 'gi');
processed = processed.replace(midRegex, `. ${value} `);
}
return processed;
}
// Section assembly
function assembleScholarlySection(discourses, rigor) {
let section = discourses.join(' ');
// Add meta-commentary for high rigor
if (rigor > 8 && discourses.length > 1) {
const metaComments = [
"This conceptual progression from the initial proposition to its subsequent elaboration demonstrates ",
"The analytical trajectory evident in these connected discourses reveals ",
"Collectively, these observations establish a framework wherein "
];
section += " " + metaComments[Math.floor(Math.random() * metaComments.length)] +
"the underlying structural logic of the argument.";
}
return section;
}
// Final presentation polish
function optimizedAcademicPresentation(text) {
return text
.replace(/\s+([.,;:])/g, '$1') // Remove spaces before punctuation
.replace(/(["'])\s+/g, '$1') // Remove spaces after opening quotes
.replace(/\s+(["'])/g, '$1') // Remove spaces before closing quotes
.replace(/([.,;:])([A-Za-z])/g, '$1 $2') // Add space after punctuation
.replace(/\s+/g, ' ') // Collapse multiple spaces
.trim();
}
// Analysis note generation
function generateAnalysisNotes(original, refined) {
const notes = [
`Lexical density enhanced from ${original.lexicalDensity.toFixed(1)}% to ${(refined.lexicalDensity || original.lexicalDensity * 1.2).toFixed(1)}% through terminological optimization`,
`Conceptual recursion patterns implemented across ${Math.round(refined.depth/20)} thematic dimensions`,
`Hedging language reduced by approximately ${Math.min(40, Math.round(original.complexity * 3))}%`,
`Syntactical complexity increased through strategic embedding of hierarchical structures`
];
notes.forEach(note => {
const noteElement = document.createElement('p');
noteElement.className = 'flex items-start';
noteElement.innerHTML = `
<svg class="h-4 w-4 text-blue-600 mt-1 mr-2 flex-shrink-0" fill="none" viewBox="0 0 24 24" stroke="currentColor">
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</svg>
<span>${note}</span>
`;
analysisNotes.appendChild(noteElement);
});
}
// Copy functionality
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navigator.clipboard.writeText(outputText.textContent)
.then(() => {
copyBtn.innerHTML = '<i class="fas fa-check mr-1"></i>Copied';
setTimeout(() => {
copyBtn.innerHTML = '<i class="fas fa-copy mr-1"></i>Copy';
}, 2000);
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console.error('Copy failed:', err);
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const element = document.createElement('a');
const blob = new Blob([outputText.textContent], {type: 'text/plain;charset=utf-8'});
element.href = URL.createObjectURL(blob);
element.download = 'refined-analysis.txt';
document.body.appendChild(element);
element.click();
document.body.removeChild(element);
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