llama-index-readers-docdigitizer 0.1.0

LlamaIndex reader for the DocDigitizer document processing API

llama-index-readers-docdigitizer

LlamaIndex reader for the DocDigitizer document processing API.

Installation

pip install llama-index-readers-docdigitizer

Usage

from llama_index.readers.docdigitizer import DocDigitizerReader

# Load a single PDF
reader = DocDigitizerReader(api_key="dd_live_...")
documents = reader.load_data(file_path="invoice.pdf")

print(documents[0].text)          # JSON with extracted fields
print(documents[0].metadata)      # document_type, confidence, etc.

# Load all PDFs from a directory
documents = reader.load_data(file_path="invoices/")

# Use in a RAG pipeline
from llama_index.core import VectorStoreIndex

index = VectorStoreIndex.from_documents(documents)
query_engine = index.as_query_engine()
response = query_engine.query("What is the invoice total?")

Configuration

Parameter	Environment Variable	Default
api_key	DOCDIGITIZER_API_KEY	—
base_url	DOCDIGITIZER_BASE_URL	https://apix.docdigitizer.com/sync
timeout	DOCDIGITIZER_TIMEOUT	300
max_retries	—	3
pipeline	—	None
content_format	—	"json"

Content Formats

• "json" (default): Document text is a JSON string of extracted fields
• "text": Key-value pairs separated by newlines (key: value)
• "kv": key=value pairs separated by newlines

Document Metadata

Each LlamaIndex Document includes metadata:

Field	Type	Description
source	str	File path of the processed PDF
document_type	str	Detected document type (e.g., "Invoice")
confidence	float	Classification confidence (0-1)
country_code	str	Detected country code (e.g., "PT")
pages	list[int]	Page numbers where document was found
trace_id	str	Unique trace identifier

License

MIT