semantica/docs/integrations/docling.md

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Docling Integration	Native Docling integration for high-fidelity PDF, DOCX, and PPTX parsing with table extraction and OCR.	file-lines

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

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.

Installation

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

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")

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')}")

DoclingParser Parameters

Parameter	Default	Description
enable_ocr	False	Enable OCR for scanned pages
export_format	"markdown"	Output format: "markdown" or "text"

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,
}

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.