PDF to JSON Converter
Convert PDF to structured JSON online for free. 4 schema presets (Full document / Tables objects / Tables arrays / Text per page), OCR for scanned PDFs in 14 languages, precision-safe type-coercion, camelCase/snake_case/kebab key transforms, collapsible tree viewer, syntax-highlighted output.
Convert PDF to JSON — Machine-Readable Data for Developers
If you are building a web app, a mobile backend, a data pipeline, or an API integration, JSON is the format your code already speaks. Converting a PDF to JSON means the content — paragraphs, tables, metadata — lands in a structure you can parse with a single line of JavaScript, Python, or any modern language without regex hacks or string splitting.
Our PDF to JSON converter extracts text, tables, and document metadata and exports them as a clean JSON object. Pages become array entries, tables become nested arrays of row arrays, and metadata fields like title, author, and creation date sit at the top level. The output parses without errors in every JSON library. No signup and no watermark: 2 free tasks a day (3 with a free account).
How to Convert PDF to JSON
The process is fully automatic. Upload the PDF and the engine decides what is a paragraph, what is a heading, what is a table, and what is metadata.
1. Upload Your PDF
Drop a file from your device, Drive, or Dropbox. Text-based and OCR-scanned PDFs are both supported.
2. Parse the Document
The engine maps pages, paragraphs, headings, tables, and metadata into a nested JSON structure.
3. Generate Valid JSON
Output is a single JSON object with pages, content, tables, and metadata arrays. UTF-8 encoded, no trailing commas, no BOM.
4. Download the .json File
Plug the JSON into your app, API, or script. The original PDF is deleted within two hours.
Why Developers Choose PDF to JSON
JSON is the native data format of the web. Converting PDFs to JSON eliminates the need for custom parsers and makes document content immediately consumable by any modern stack.
Parse in One Line
JSON.parse() in JavaScript, json.loads() in Python, or Gson in Java. No custom PDF libraries needed.
Tables as Nested Arrays
Each table becomes an array of row arrays, making iteration and data extraction trivial in any language.
Metadata at Top Level
Title, author, creation date, page count, and producer are available as top-level keys for cataloguing.
OCR Included
Scanned PDFs are processed through OCR before JSON generation, so you get text content, not image blobs.
Free, No Signup
No signup and no watermark: 2 free conversions a day without an account, 3 with a free account.
Secure and Private
256-bit SSL, isolated processing, two-hour deletion. No account needed.
PDF to JSON — FAQs
{pageNumber, text}) and a tables array (each row as a {column: value} object). "Tables only" and "Tables as arrays" emit just the tables, and "Text per page" emits just the page text. Everything is valid JSON parseable by any standard library.