Convert PDF to JSON Free
Extract text, tables, metadata from PDFs into clean JSON. Perfect for data pipelines and APIs. Free, no signup, browser-based.
About PDF To Json
PDF to JSON extracts the full structure of a PDF — text, paragraphs, headings, tables, images, form fields, annotations, and metadata — and exports it as a structured JSON object. Unlike simple text extraction, JSON output preserves page coordinates, font properties (family, size, weight), reading order, paragraph boundaries, and table cell values in a queryable hierarchical format. The extraction runs browser-side using pdf.js for content parsing. The resulting JSON schema follows a consistent structure: document → pages → blocks → items, where blocks are paragraphs, tables, images, or form fields. This makes PDF-to-JSON ideal for developers building data pipelines, content management systems, and AI workflows that need structured PDF content without relying on a server API.
Text extraction gives you a flat string. PDF-to-JSON gives you structure: every text block tagged with its page number, bounding box (x,y,width,height), font size, and bold/italic state. Table cells land in a nested array. Form field values are key-value pairs. This structured output eliminates the regex parsing that developers typically apply to plain-text PDF extractions.
How We Compare
Compared to desktop alternatives like Adobe Acrobat Pro (starting at $19.99/month), Smallpdf ($12/month for unlimited), or iLovePDF ($9/month Premium), PDF AI Tools delivers comparable quality at $0 for the core feature set. We skip the subscription friction by processing most operations directly in your browser with WebAssembly — no server infrastructure costs to pass on to users. Our AI features (summarization, chat, OCR) use a pay-as-you-go backend that keeps your total cost well under $5/month even for power users.
How to Use Convert PDF to JSON Free
- Step 1: Upload your PDF
- Step 2: Choose what to extract: text only, text + tables, full structure, or form fields
- Step 3: Preview the JSON tree in the viewer
- Step 4: Download the JSON file or copy to clipboard
Why Choose PDF AI Tools
We've built PDF AI Tools to replace expensive desktop software like Adobe Acrobat for 95% of common document workflows — at zero cost to you. Unlike competitors who gate features behind paywalls, add watermarks, or limit file sizes, our tools are genuinely free and genuinely unlimited. Your privacy matters: files processed client-side in your browser never touch our servers, and even AI-powered features use encrypted, auto-deleting processing pipelines.
Key Features
- Hierarchical JSON structure: document → pages → blocks (paragraph, table, image, form field)
- Text blocks include: text content, page number, bounding box, font family, font size, bold/italic state
- Table extraction with nested row/cell arrays
- Form field extraction: field name, type (text, checkbox, radio), and current value
- Image metadata: page, bounding box, width/height, and base64-encoded image data (optional)
- Document metadata: title, author, creation date, page count, PDF version
- Annotation extraction: comments, highlights, links, and their target URLs
- Minified or pretty-printed JSON output
Frequently Asked Questions
What does the JSON structure look like?
Top level: { "pages": [ { "pageNumber": 1, "width": 612, "height": 792, "blocks": [ { "type": "paragraph", "text": "...", "bbox": {...}, "font": {...} } ] } ] }
Can I use this to extract form field values?
Yes — form fields are extracted as a separate "formFields" array with field names, types, and current values. Interactive AcroForm PDFs are fully supported.
Does it extract images?
Yes — embedded images are extracted with their bounding box coordinates. You can choose to include base64-encoded image data or just the metadata.
Is this suitable for AI/LLM pipelines?
Yes — the structured JSON output is well-suited for pre-processing PDFs before feeding to LLMs, RAG systems, or document QA pipelines. Paragraphs are pre-segmented and tagged with page/section context.