Convert NotebookLM exported PDFs into PPTX presentations with separated background images and editable text layers.

✨ Updated (2026-01-21): v2.2.1 Release - Complete i18n Overhaul! All language versions now feature professional light theme design with improved UX and standardized documentation.

繁體中文 | 简体中文 | 日本語 | Español | Français

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Direct Download (4.7 MB)

Background Music: "Happy Upbeat Ukulele" by MaxKoMusic (CC BY-SA 3.0)

Original (NotebookLM PDF)	Output (Editable PPTX)

PDF.js native text extraction provides precise text positioning without additional API calls.

Before (NotebookLM PDF)	After (Editable PPTX)

Left: Original PDF from NotebookLM (text embedded in image) Right: Converted PPTX with clean background + editable text layers

• Lite Model (Default): Uses gemini-2.5-flash-lite for OCR, 40-50% faster with 50% API quota savings
• Standard Model (Optional): Uses gemini-2.5-flash for full font size, weight, and color style detection
• User Flexibility: Switch OCR models during page selection to balance speed and quality based on your needs

• Simultaneous Execution: Text removal and OCR run concurrently, no waiting
• Reduced Processing Time: From 3-4 seconds per page down to 2-3 seconds
• Intelligent Fault Tolerance: Single API failure doesn't affect the overall workflow, improving stability

• Lite Model Best For: Plain text notes, meeting minutes, content drafts (when visual formatting doesn't matter)
• Standard Model Best For: Beautiful presentations, brand showcases, teaching slides (require visual hierarchy)
• Transparent Limitations: Clear communication about Lite model's inability to detect font styles

Lite Model	Standard Model

Lite Model: All text uses uniform styling, no font size variation (faster, saves API quota) Standard Model: Fully preserves font size hierarchy between titles and body text (complete style detection)

• Professional Design Across All Languages: Completely redesigned all language versions (English, Spanish, Japanese, French, Simplified Chinese) from dark theme to modern light theme
• Unified Font System: Migrated to Poppins (headings) + Open Sans (body) with language-specific fallbacks (Noto Sans JP, Noto Sans SC, etc.)
• Professional Blue Color Scheme: Implemented consistent #3B82F6 primary color across all versions for trust and professionalism
• Enhanced API Key Modal: Browser-based API Key storage with localStorage integration eliminates need for code editing
• Collapsible UI Elements: Added collapsible alert banner and tools section for cleaner interface

• Comprehensive READMEs: All language README files now follow 204-line comprehensive structure
• Quick Start Guide: Added 3-step quick start instructions for better onboarding
• Free API Quota Details: Clear documentation of Google Gemini's free tier (15 RPM, 1500 RPD, no credit card)
• Complete FAQ Section: 5 Q&A pairs covering common questions about API keys, security, failures, sharing, and offline usage

• Light Theme: #F8FAFC background for better readability
• Modern Card Layout: Clean borders (#E2E8F0) and subtle shadows
• Professional SVG Icons: Replaced emoji icons with proper SVG graphics
• Responsive Typography: Optimized font sizes and spacing for all screen sizes

• No More Re-entering: API Key is now preserved in memory when you click "Restart"
• Unlimited Restarts: Process multiple batches without re-entering your API Key
• Smart State Management: Resets all processing state while keeping your credentials

• 70% Faster Processing: Reduced inter-page delay from 3.5s to 1.0s
• Parallel Processing: Leverages concurrent API calls for maximum efficiency
• Instant Reset: Soft reset returns to initial state immediately without page reload

• Improved AI Prompt: Enhanced prompt engineering to avoid copyright detection
• Better Background Reconstruction: More accurate content-aware fill results
• Reduced Temperature: More consistent AI behavior with temperature 0.4

• Clearer Instructions: Updated API Key setup guide to match actual workflow
• Clean Reset UI: Restored initial upload interface on reset instead of loading spinner

• AI Text Removal: Uses Gemini 2.5 Flash to automatically remove text from images and reconstruct backgrounds
• Hybrid Text Extraction: PDF sources use native PDF.js extraction for precise coordinates; image sources use enhanced Gemini OCR
• Separated Layers: Exported PPTX contains background images and text as independent layers for easy editing
• Batch Processing: Supports processing multiple PDF pages or images at once
• Page Selection: Freely select which pages to process, saving time and API quota

1. Open the HTML file in your browser (Chrome/Edge recommended)
2. Follow the guided setup to get your free API Key from Google
3. Start processing your PDF or images immediately!

When you first open the application, a friendly setup wizard will guide you through:

1. Visit Google AI Studio - One-click link to aistudio.google.com/apikey
2. Create Your Free API Key - Sign in with your Google account (no credit card required)
3. Paste and Save - Copy your API Key and paste it into the app

🔒 Your API Key is stored securely in your browser and never uploaded to any server.

Google Gemini API offers a generous free tier:

• 15 requests per minute
• 1,500 requests per day
• No credit card required

This is more than enough for typical daily use!

If you prefer to run in Gemini Canvas environment:

1. Open Google Gemini
2. Paste the code from 01.html into Canvas
3. Click "Preview" to run

⚠️ Note: As of January 2026, API Key is still required even in Canvas environment. The app will prompt you to set it up.

┌─────────────┐    ┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│  Upload PDF │ -> │   Select    │ -> │ AI Process  │ -> │ Export PPTX │
│  or Images  │    │   Pages     │    │ Remove Text │    │ BG + Text   │
└─────────────┘    └─────────────┘    └─────────────┘    └─────────────┘

• Drag and drop or click to upload NotebookLM exported PDFs
• Also supports JPG, PNG, WebP and other image formats
• Multiple files can be uploaded at once

Tip: NotebookLM exported PDFs can be quite large. You can use free PDF compression services to reduce file size before uploading for much better efficiency.

• System automatically generates thumbnails for all pages
• Check the pages you want to process (all selected by default)
• Click "Start Processing" to proceed

• Gemini removes text from each page and reconstructs the background
• Progress is displayed in real-time
• Each page takes approximately 3-5 seconds (including API latency)

Note: Gemini text removal may sometimes be incomplete. If you notice excessive text residue, you can try processing again.

• Select presentation ratio (16:9 / 9:16 / 4:3)
• Click "Export PPTX" to download
• Text positioning uses hybrid strategy:
  • PDF sources: Uses pre-extracted coordinates from PDF.js (instant, no API call)
  • Image sources: Uses Gemini OCR with enhanced styling detection

Each slide in the exported PPTX contains:

This layered structure allows you to:

• Easily modify text content
• Change fonts, colors, and sizes
• Adjust text positions
• Preserve the original design style

1. API Quota: Text removal uses Gemini API; PDF text extraction is local (no API cost)
2. Rate Limiting: System automatically waits and retries on 429 errors
3. Processing Time: For large numbers of pages, consider processing in batches
4. Network: Requires stable internet connection
5. Browser: Chrome or Edge (latest version) recommended
6. PDF Advantage: PDF sources export faster with more accurate text positioning

A: No! Google Gemini API offers a completely free tier with no credit card required. Just sign in with your Google account.

A: Yes! Your API Key is stored only in your browser's localStorage and is never sent to any server except Google's official Gemini API.

A: Common causes:

• Invalid API Key (check if it starts with "AIza")
• Unstable network connection
• Image too large or unsupported format
• API rate limit exceeded (free tier: 15/min, 1500/day - wait and retry)

A: Absolutely! Just share the HTML file. Each user will set up their own API Key, so everyone gets their own free quota.

A: No, this tool requires Gemini API calls for AI processing.

MIT License