parze 0.2.0

Python SDK for the Parze API

Parze Python SDK

Official Python client for the Parze document parsing API.

Installation

pip install parze

Quick Start

from parze import ParzeClient

# Initialize client with your API key
client = ParzeClient(api_key="pk_live_your_key_here")

# Parse a document
result = client.parse("invoice.pdf")
print(result["text"])

# Extract structured data
text = result["text"]
schema = {
    "invoice_number": {"type": "string", "description": "Invoice number"},
    "total_amount": {"type": "string", "description": "Total amount"},
    "date": {"type": "string", "description": "Invoice date"}
}
extraction = client.extract(text, schema)
print(extraction["extraction"])

# Get AI-suggested schema
suggested = client.suggest_schema(text)
print(suggested)

API Reference

parse(file, output_format="structured", preserve_tables=True, preserve_layout=True, extraction_mode="auto")

Parse a document into structured text.

Parameters:

• file (str or file object): Path to file or file object
• output_format (str): "structured", "markdown", or "json"
• preserve_tables (bool): Preserve table structure
• preserve_layout (bool): Preserve document layout
• extraction_mode (str): "auto", "ocr_only", "llm_only", or "identity_doc"

Returns: Dict with parsed text and metadata

extract(text, extraction_schema)

Extract structured data from text using a schema.

Parameters:

• text (str): Document text (from parse)
• extraction_schema (dict): Schema defining fields to extract

Returns: Dict with extracted data and confidence scores

suggest_schema(text)

Get AI-suggested extraction schema based on document text.

Parameters:

• text (str): Document text

Returns: Dict with suggested schema

text_to_schema(description)

Convert natural language description to extraction schema.

Parameters:

• description (str): Natural language description of fields

Returns: Dict with generated schema

Get API Key

Get your API key from platform.parze.ai