llama-index-readers-docdigitizer

LlamaIndex reader for the DocDigitizer document processing API.

v0.1.x is deprecated. Upgrade to v0.2.0+ for the new API endpoint. The previous endpoint (https://apix.docdigitizer.com/sync) will be removed in a future release.

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

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:

License

MIT