PDF to JSON
Extract all text content from a PDF file and output it as structured JSON, with each page's text stored as a separate object and optional metadata fields such as title, author, page count, and creation date. Toggle per-page grouping to get a flat combined text block instead, and enable pretty-print for a human-readable result. The entire extraction runs in your browser via PDF.js — your file is never uploaded to any server.
PDF File
Drop a PDF here or click to upload
Extracted locally — your file never leaves your browser
Output Structure
Formatting
JSON
What is PDF to JSON Converter?
PDF was designed for printing, not for data extraction — but a surprising amount of useful data lives only in PDF form: invoices, statements, research papers, government filings, and exported reports. This tool extracts the text layer from digital PDFs (not scanned images, which require OCR) and structures the content as JSON: each page becomes an entry in a pages array, document metadata (title, author, creation date) is captured in a separate object, and the text content is normalised and whitespace-trimmed. The extraction runs entirely in the browser using a client-side PDF parsing library, so sensitive financial documents and confidential reports are never uploaded anywhere. Use it to feed PDF content into search indexers, build keyword extraction pipelines, migrate content from PDF archives to headless CMS platforms, or programmatically process document libraries without server infrastructure.
How to Use
- 1
Upload Your PDF
Click "Upload PDF" to select a .pdf file from your computer. The tool extracts text using a client-side PDF parser — no file is uploaded to any server. Scanned image PDFs require OCR and are not supported.
- 2
Set Extraction Options
Choose whether to extract text by page (each page as a separate JSON entry), by paragraph, or as a single merged string. Optionally include page numbers and document metadata (title, author, creation date).
- 3
Extract Text to JSON
Click "Extract to JSON". The PDF text layer is parsed page by page and structured into a JSON object with a "pages" array and a "metadata" object containing document properties.
- 4
Copy or Download the JSON
Copy the JSON for use in a text processing pipeline, search indexer, or content migration script — or download it as a .json file for analysis with Python, Node.js, or Elasticsearch.
Common Use Cases
Invoice & Receipt Data Extraction
Extract text content from PDF invoices, receipts, or purchase orders into JSON for automated accounting, expense tracking, or ERP data entry workflows.
Document Digitisation
Convert scanned or digital PDF reports, forms, and contracts into structured JSON to feed document content into search indexes, NLP pipelines, or content management systems.
Research Paper Processing
Extract text from academic PDFs into JSON to build citation databases, topic indexes, or training datasets for language models without manual copy-paste workflows.
Compliance & Audit Workflows
Parse PDF regulatory filings, audit reports, or compliance documents into JSON text content for programmatic review, keyword search, and automated compliance checking tools.
Conversion Examples
PDF Pages → JSON Text Array
Each page's text content is extracted into a JSON array entry.
Input JSON
PDF: 2-page invoice Page 1: Invoice #INV-001, Date: 2024-01-15, Client: Acme Corp Page 2: Line items: Widget x2 @ $9.99, Total: $19.98
Output CSV
{
"pages": [
{"page": 1, "text": "Invoice #INV-001 Date: 2024-01-15 Client: Acme Corp"},
{"page": 2, "text": "Widget x2 @ $9.99 Total: $19.98"}
],
"total_pages": 2
}PDF Metadata → JSON Object
Document properties like title, author, and creation date are extracted as JSON fields.
Input JSON
PDF Metadata: Title: Q4 Sales Report Author: Finance Team Created: 2024-01-10 Pages: 12
Output CSV
{
"title": "Q4 Sales Report",
"author": "Finance Team",
"created": "2024-01-10",
"pages": 12
}