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automaited Python API library

The automaited Python library provides convenient access to the automaited REST API from any Python 3.10+ application. The library includes type definitions for all request params and response fields, and offers both synchronous and asynchronous clients powered by httpx.

Installation

[!IMPORTANT] The document extraction service is currently in a closed beta.

# install from PyPI
pip install automaited

Usage

Define the target model you want to populate and pass it with the PDF that you want to process into the .extract_model() method. Here is an example:

from datetime import date
from pydantic import Field, BaseModel
from automaited import DocExtClient
# from automaited import AsyncDocExtClient

class Article(BaseModel):
    article_number: str = Field(..., description="Typically alphabetical or alphanumerical.")
    description: str = Field(..., description="Description of the item.")
    quantity: float = Field(..., description="Number of pieces.")

class PurchaseOrder(BaseModel):
    customer_name: str = Field(..., description="Examples: Kaladent Inc., Henkel GmbH")
    order_number: str = Field(..., description="The purchase order number.")
    order_date: date = Field(..., description="The purchase order date.")
    items: list[Article] = Field(default_factory=list, description="List of all ordered articles.")

client = DocExtClient(API_KEY="TEST_BETA:you@company.com") # Replace the email with yours. As soon as we are out of beta you will receive a proper API key for production.
result: PurchaseOrder = client.extract_model(PurchaseOrder, "./po.pdf") # automaited.dev/samples
print(result)

You can download a sample PDF here: automaited.dev/samples If you want to learn more about how to define target models, just take a look at the pydantic docs

Metadata

Release files for automaited 0.1.4

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Table of built distributions (wheels) for automaited 0.1.4
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