Parse complex documents: PDFs, DOCX, PPTX, HTML: with high-fidelity table extraction and built-in OCR.

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Overview

Docling is integrated into Semantica’s parse module via the DoclingParser. Documents pass through Docling’s layout engine, then feed directly into Semantica’s extraction and KG pipeline.

Multi-format

PDF, DOCX, PPTX, HTML, and more.

Table Extraction

High-fidelity table parsing with header detection.

OCR Support

Built-in OCR for scanned documents.

Markdown Export

Clean Markdown output optimized for LLM consumption.

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Installation

pip install semantica
# Docling is included as an optional dependency
# or install separately:
pip install docling

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Basic Usage

from semantica.parse import DoclingParser

parser = DoclingParser(enable_ocr=True)
result = parser.parse("financial_report.pdf")

print(result["full_text"][:200])
print(f"Found {len(result['tables'])} tables")

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Full Example

from semantica.parse import DoclingParser

parser = DoclingParser(
    enable_ocr=True,
    export_format="markdown",
)

result = parser.parse("complex_invoice.pdf")

# Full text content
print(result["full_text"])

# Extracted tables
for i, table in enumerate(result["tables"]):
    print(f"Table {i+1} headers: {table.get('headers', [])}")
    for row in table.get("rows", [])[:3]:
        print(f"  Row: {row}")

# Metadata
metadata = result["metadata"]
print(f"Title: {metadata.get('title')}")
print(f"Pages: {result.get('total_pages')}")

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DoclingParser Parameters

ParameterDefaultDescription
enable_ocrFalseEnable OCR for scanned pages
export_format"markdown"Output format: "markdown" or "text"

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Parsed Result Structure

{
    "full_text":    str,         # Clean document text
    "tables":       List[dict],  # Extracted tables (headers + rows)
    "metadata":     dict,        # Title, author, creation date, etc.
    "total_pages":  int,
}

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See Also

Parse Module

Full DocumentParser and DoclingParser reference.

Ingest Module

Loading documents before parsing.

Semantic Extract

NER and relation extraction on parsed text.

Pipeline

Using DoclingParser in a full pipeline.