DocLD vs Google Document AI

Audit Current Usage

Review your Document AI processors, monthly volume, custom processors, and downstream systems.

Map Processors to Schemas

DocLD uses extraction schemas instead of processors.

// Google Document AI processor
{
  "processor_type": "INVOICE_PROCESSOR",
  "display_name": "Invoice Processor"
}

// DocLD extraction schema
{
  "name": "Invoice Schema",
  "fields": [
    {"name": "invoice_number", "type": "string"},
    {"name": "vendor_name", "type": "string"},
    {"name": "total_amount", "type": "number"}
  ]
}

Create DocLD Account

Sign up for DocLD and set up your organization. No GCP project required.

Update API Calls

Update your applications to use DocLD's API.

# Google Document AI
from google.cloud import documentai_v1 as documentai
client = documentai.DocumentProcessorServiceClient()
result = client.process_document(request={"name": processor_name, "raw_document": document})

# DocLD
import requests
response = requests.post(
    "https://api.docld.com/api/extract/run",
    headers={"Authorization": f"Bearer {api_key}"},
    json={"document_id": doc_id, "schema_id": schema_id}
)

Build Workflows

Replace Cloud Functions and Pub/Sub with DocLD workflows. Create visual workflows with triggers and notifications.

Set Up Knowledge Bases

Create knowledge bases for document organization and chat - a new capability you didn't have with Document AI alone.