Extract PDF Text as JSON
Feed PDF content into scripts, spreadsheets, and data pipelines without copy-pasting. This tool extracts the text of every page and packages it into a structured JSON file with page-by-page organization, ready for parsing in Python, JavaScript, or any ETL workflow. Researchers, analysts, and developers use it to unlock data trapped in reports. Extraction is performed locally in your browser, so even unreleased reports remain private.
Choose files or drag & drop here
.pdf · single file
Processed locally in your browser — your files never leave your device.
How to pdf to JSON
- Upload the PDF whose text you want as data.
- Click "Convert to JSON" to extract the text of every page.
- Download the structured JSON file for your pipeline.
Frequently asked questions
What does the JSON output look like?
You get a structured object containing the document page count and an array of pages, each with its page number and extracted text content.
Does it work with scanned PDFs?
Scanned documents contain images, not a text layer, so they produce empty text. Run OCR on such files first, then extract the JSON.
Why extract PDF text to JSON?
JSON is trivial to parse programmatically, enabling search indexing, data analysis, content migration, and automated reporting from PDF sources.
Related tools
PDF to JPG
Convert PDF pages to JPG images at your chosen resolution
PDF to PNG
Export PDF pages as crisp PNG images with lossless quality
PDF to WebP
Convert PDF pages to modern WebP images — smaller than JPG at similar quality
PDF to Greyscale
Convert a color PDF to black-and-white greyscale for cheaper printing and smaller files
PDF to TXT
Extract all text from any PDF into a plain TXT file you can edit, search or archive
Extract Images
Pull every embedded image out of a PDF and download them as individual PNG files