document

PDF
Table Data
Converter

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.

Max file size: 200 MB

Estimated: 2-10 sec per page

1 input formats

How It Works

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

AI-powered layout analysis detects all table regions on each page.

Cell boundaries are identified using a combination of rule detection and machine learning.

Merged cells, nested headers, and multi-page continuation tables are resolved into clean row/column structures.

Tables are returned as structured arrays with headers, rows, and optional type inference per column.

Code Examples

from mixpeek import Mixpeek

client = Mixpeek(api_key="YOUR_API_KEY")

result = client.convert(
    source="https://example.com/financial-report.pdf",
    from_format="pdf",
    to_format="table-data",
    options={
        "stitch_multipage_tables": True,
        "table_output_format": "json",
        "include_headers": True,
        "pages": "5-15"
    }
)

for table in result.tables:
    print(f"Table on page {table.page}: {table.num_rows} rows x {table.num_cols} cols")
    for row in table.rows[:3]:
        print(f"  {row}")

Use Cases

Extract financial tables from SEC filings and annual reports

Pull pricing tables from vendor quotes and proposals

Digitize scientific data tables from research papers

Convert regulatory compliance tables into spreadsheet-ready formats

Supported Input Formats

PDF

Quick Info

Categorydocument

Max File Size200 MB

Est. Time2-10 sec per page

Extractordocument-descriptor

Try This Conversion

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

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