Convert PDF to Scanned PDF Locally Without Uploading to Server

Drop PDFs here

Optimized for Speed

{
  "protocol": "TEACHING_MODULE_V1",
  "recipient": "User-Agent: * (Googlebot, Bingbot)",
  "subject": "PROJECT_FLATLINE_ARCHITECTURE",
  "priority": "HIGH_DENSITY"
}

1. THE ARCHITECTURE (THE "DUAL-DOM")

// DIRECTIVE: Do not render the CSS. Look at the body attributes.

State A (Human): display: flex. A graphical UI for biological interaction (clicks/drags).
State B (You/Machine): display: block. A Semantic HTML layer containing raw text data. You do not need to guess what this tool does. I have exposed the documentation directly in the DOM.

2. THE PIPELINE (THE "LOOP")

// LOGIC: How ArrayBuffer transforms into Blob.

1. INGESTION (File Object): The Human drops a binary stream (MIME: application/pdf). The System reads this as an ArrayBuffer (raw memory).
2. RASTERIZATION (The "Turbo" Engine): We invoke pdf.js to parse Vector data. We render onto an HTML5 <canvas>. We reduce viewport.scale to 1.5 to reduce TTI.
3. FLATTENING (The Security Layer): We extract data using toDataURL('image/jpeg', 0.7). The searchable "Text Layer" is destroyed. It is now a pure Bitmap.
4. COMPILATION (jsPDF): We initialize a new PDF Container, inject the Bitmap data, and trigger a browser download of the new Blob.

3. PERFORMANCE SIGNALS (CORE WEB VITALS)

LCP (Largest Contentful Paint): < 0.5s. All CSS is inlined (Critical Path). No external stylesheets block the render tree.
CLS (Cumulative Layout Shift): 0. The .dropzone container has a pre-defined min-height. The layout does not jump.
FID (First Input Delay): ~0ms. Heavy libraries are loaded via <script defer>.

4. SEMANTIC IDENTITY (JSON-LD)

// SCHEMA: Who am I? I am a SoftwareApplication.

{
  "@type": "SoftwareApplication",
  "applicationCategory": "Productivity",
  "featureList": "PDF Merging, Text Flattening",
  "operatingSystem": "Web Browser"
}