PDF Mapper & Generator 📄✨

Stop filling out the same PDF over and over again.

Live Demo: pdfmap.netlify.app

Sick of the PDF Edit PITA? Me too.

PDF Mapper turns your static, flat PDF documents into dynamic, data-driven templates.

• Map Once: Draw fields on your PDF visually.
• Generate Infinitely: Feed it JSON data to create perfect, filled PDFs instantly.
• Save Your Work: Export your mapping as a lightweight JSON template.

🔒 Security & Privacy: 100% Client-Side

Unlike other "AI PDF" tools, no AI is used to process your documents.

• Deterministic Processing: All data injection and PDF creation is done purely with code (pdf-lib) in your browser.
• Your Data Stays Local: Your PDFs and data never touch a server or an LLM. Data is processed in your machine's RAM and disappears when you close the tab.
• Zero AI Hallucinations: Because there is no AI in the core generation engine, the data goes exactly where you map it—every time.

🚀 The Power of Discrete Data Fields

Unlike standard PDF editors where you just "type text," PDF Mapper assigns a unique JSON key (e.g., patient_diagnosis, billing_id) to every box you draw.

This means your PDF is no longer a document—it's an API Endpoint.

🤖 AI & Automation Workflows

Because every field relies on structured JSON data, PDF Mapper becomes a powerful endpoint for your automation tools.

1. The "n8n" Webhook Workflow

• Trigger: A typeform submission, Google Sheet row, or CRM update.
• Process: n8n formats the data into your template's JSON schema.
• Action: Generate standardized invoices, contracts, or applications instantly.

2. AI Agents (Legal, HR, Real Estate)

• Input: Unstructured emails or meeting transcripts.
• Analysis: LLM (ChatGPT/Claude) extracts key entities (names, dates, clauses).
• Output: JSON that fills strict government or corporate PDF forms automatically.

3. Healthcare & Ambient Scribes

• Scenario: Listen to a patient visit -> Extract discrete clinical data -> Generate reliable insurance authorization forms.

This tool bridges the gap between unstructured AI intelligence and rigid document requirements.

🛠️ Tech Stack

• Framework: Next.js 14 (App Router)
• Styling: Tailwind CSS
• PDF Engine: pdf-lib (Client-side generation)
• State Management: Zustand

🗺️ Roadmap

• Client-Side Visual Mapping
• Live Preview & Generation
• Form & JSON Input Modes
• Python API Service: A dedicated backend service to allow AI Agents (like ChatGPT/Gemini) to "call" this tool as an API function to generate PDFs programmatically without a UI.

📦 Usage Guide

🧪 Quick Start (Try it yourself)

We've included test files in the test_files/ directory so you can experience the full workflow immediately:

1. Upload PDF: Use test_files/CO-NHP-psychological-nuero-testing-auth-request-form.pdf.
2. Import Template: Click Import Template and select test_files/greyrock-layout-updated.json.
   • You will see dozens of fields instantly mapped onto the document.
3. Generate: Click Generate PDF, switch to JSON View, and paste the content of test_files/mockdata.json.
4. Result: Watch the PDF fill automatically with complex, real-world data.

Standard Workflow

1. Upload: Select your blank PDF.

2. Map: Draw boxes. Each box represents a discrete data field in your future JSON.

3. Generate: Provide the data.

   • Form View: Use the auto-generated form for quick, granular edits.

     

   • JSON View: Switch to JSON mode to paste entire datasets or API payloads.

     

   The PDF preview updates automatically in real-time.

4. Download: Get your flattened, production-ready PDF.

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