document

PDF
JSON
Converter

Convert PDF documents into clean, structured JSON output. Extracts text, tables, form fields, metadata, and document structure into a machine-readable JSON format suitable for API ingestion, database storage, and programmatic processing.

Max file size: 200 MB

Estimated: 2-15 sec per page

1 input formats

How It Works

Upload a PDF file or provide a URL to the Mixpeek API.

The document is classified as digital-native or scanned, with OCR applied as needed.

Layout analysis segments the document into pages, paragraphs, tables, and form fields.

An LLM maps extracted content to your target JSON schema or a default document schema.

Structured JSON is returned with pages, content blocks, tables, and metadata.

Code Examples

from mixpeek import Mixpeek

client = Mixpeek(api_key="YOUR_API_KEY")

result = client.convert(
    source="https://example.com/annual-report.pdf",
    from_format="pdf",
    to_format="json",
    options={
        "ocr_fallback": True,
        "extract_tables": True,
        "extract_images": False,
        "pages": "1-20"
    }
)

for page in result.pages:
    print(f"--- Page {page.number} ({len(page.blocks)} blocks) ---")
    for block in page.blocks:
        print(f"  [{block.type}] {block.text[:100]}...")

Use Cases

Ingest PDF reports into data warehouses and analytics platforms

Convert invoice PDFs into JSON for automated accounting workflows

Parse legal contracts into structured clause-level JSON for review tools

Transform product specification PDFs into JSON for e-commerce catalog imports

Supported Input Formats

PDF

Quick Info

Categorydocument

Max File Size200 MB

Est. Time2-15 sec per page

Extractordocument-descriptor

Try This Conversion

Get started with the Mixpeek API and convert your first file in minutes.

Frequently Asked Questions

Related Converters

PDF

Text

PDF to Text

Extract clean, structured text from PDF documents including scanned pages, multi-column layouts, headers/footers, and tables. Combines traditional parsing with OCR and layout analysis for maximum accuracy.

PDF

JSON

PDF to Structured Data

Extract structured key-value pairs, tables, and form fields from PDF documents. Uses layout analysis and LLM extraction to produce clean JSON output, even from complex forms and invoices.

PDF

Markdown

PDF to Markdown

Convert PDF documents to clean Markdown format, preserving headings, lists, tables, links, and emphasis. Ideal for migrating content into wikis, CMS platforms, and documentation systems.

PDF

Table Data

PDF to Table Data

Extract tables from PDF documents and convert them into structured formats like JSON arrays, CSV, or Excel. Handles complex table layouts with merged cells, nested headers, multi-page tables, and borderless tables using AI-powered layout detection.

Ready to convert pdf to json?

Start using the Mixpeek PDF to JSON in minutes. Sign up for a free API key and follow the documentation to get started.

PDFJSONConverter