Extract every piece of text in your PDF, along with its page number, position and font size, and download it as clean, machine-readable JSON. Perfect for data pipelines, LLM ingestion, RAG indexing and any custom PDF processing.
Click to select a file or drag and drop
Multiple PDF files
Your files never leave your device.
Drag a single PDF onto the upload zone or click to pick it from your device. Everything happens locally; the file is never uploaded.
ZentoPDF reads every page with PDF.js, collects each text item plus its page number, x/y position, width and font size, and assembles the result into a normalised JSON tree.
Click download to grab a clean .json file you can stream into a database, vector index, LLM prompt or any custom script.
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The file contains a top-level array of pages, each with its page number and a list of text items. Every item carries the raw string, x and y coordinates, width, height and font size, so you have enough information to rebuild the layout or feed it into a structured indexer.
Yes. The output preserves reading order per page and includes positional metadata, so you can chunk the JSON intelligently for vector embedding, retrieval-augmented generation or any other LLM workflow without re-parsing the PDF on the server side.
Scanned PDFs are images of text and contain no selectable characters, so the JSON would be empty. To extract their content, first run them through our OCR PDF tool — it recognises the text and writes it back into the PDF, which then converts to JSON normally.
No. The whole extraction happens client-side in your browser with PDF.js. Your original PDF and the resulting JSON never leave your device, so the tool is safe for confidential financial, legal or research documents.
No artificial limits — only the memory of your device. Modern laptops comfortably extract JSON from PDFs with hundreds of pages, and the tool is 100% free with no signup or watermark.