v2_extraction.txt

from mindee import (
  ClientV2,
  InferenceParameters,
  InferenceResponse,
  PathInput,
)

input_path = "/path/to/the/file.ext"
api_key = "MY_API_KEY"
model_id = "MY_MODEL_ID"

# Init a new client
mindee_client = ClientV2(api_key)

# Set inference parameters
params = InferenceParameters(
    # ID of the model, required.
    model_id=model_id,

    # Options: set to `True` or `False` to override defaults

    # Enhance extraction accuracy with Retrieval-Augmented Generation.
    rag=None,
    # Extract the full text content from the document as strings.
    raw_text=None,
    # Calculate bounding box polygons for all fields.
    polygon=None,
    # Boost the precision and accuracy of all extractions.
    # Calculate confidence scores for all fields.
    confidence=None,
)

# Load a file from disk
input_source = PathInput(input_path)

# Send for processing
response = mindee_client.enqueue_and_get_result(
    InferenceResponse,
    input_source,
    params,
)

# Print a brief summary of the parsed data
print(response.inference)