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Extract metadata and raw text from PDF documents into structured JSON.
Upload your .pdf document for metadata extraction
Upload PDF Document
Strictly files matching the requested format.
Upload a PDF and click Inspect to parse its structure.
JSON output feature is coming soon.
The PDF to JSON extractor maps the unstructured visual layout of standard PDF documents into a strict, deeply nested JSON hierarchy. It calculates structural boundaries (like pages, paragraphs, lists, and tables) directly from the raw PDF rendering coordinates.
Instantly convert massive PDF manuals into structured JSON arrays where every page and paragraph is neatly segmented, making it perfect for feeding into Vector Databases.
Quickly export hidden metadata fields like creation dates or internal producers into a clean JSON object.
The HTML Export feature is a great way to generate a printable summary report of the document's statistics without needing to read the raw JSON.
PDFs do not natively store table tags. The engine uses a layout heuristic that measures the horizontal whitespace between text blocks on the same Y-axis to guess table cell boundaries.
Absolutely. All processing is 100% offline and localized inside your browser's memory.
| Shortcut | Action |
|---|---|
CtrlF | Search the JSON payload |
CtrlShift[ | Fold (collapse) the current JSON block |
CtrlShift] | Unfold (expand) the current JSON block |
All parsing happens entirely in your browser using `pdfjs-dist`. Your sensitive PDF files and their extracted JSON payloads are entirely secure and are never transmitted over the network.
