langchain-docdigitizer

LangChain document loader 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 langchain-docdigitizer

Usage

from langchain_docdigitizer import DocDigitizerLoader

# Load a single PDF
loader = DocDigitizerLoader(api_key="dd_live_...")
docs = loader.load("invoice.pdf")

print(docs[0].page_content)       # JSON with extracted fields
print(docs[0].metadata)           # document_type, confidence, country_code, etc.

# Load all PDFs from a directory
loader = DocDigitizerLoader(api_key="dd_live_...", file_path="invoices/")
docs = loader.load()

# Use in a RAG pipeline
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_openai import OpenAIEmbeddings
from langchain_community.vectorstores import FAISS

splitter = RecursiveCharacterTextSplitter(chunk_size=1000)
chunks = splitter.split_documents(docs)
vectorstore = FAISS.from_documents(chunks, OpenAIEmbeddings())

Configuration

Content Formats

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

Document Metadata

Each LangChain Document includes metadata:

License

MIT