regia-ai-sdk 0.5.0

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Regia AI SDK

A lightweight Python SDK to interact with the Regia Vision Extractor API.
Send PDF documents and automatically extract structured data using Pydantic schemas.

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📦 Installation

pip install regia-ai-sdk

🚀 Quickstart

from regia_ai_sdk import VisionClient
from pydantic import BaseModel, Field
import os

class InvoiceModel(BaseModel):
  due_date: str = Field(..., description="The due date of the invoice")
  total_amount: float = Field(..., description="The total amount of the invoice")

base_url = os.getenv("BASE_URL")
token = os.getenv("API_TOKEN")

client = VisionClient(token=token, base_url=base_url)

result = client.extract("./data/sample.pdf", InvoiceModel)
print(result)

📂 Other Input Methods

From bytes

with open("./data/sample.pdf", "rb") as f:
  content_bytes = f.read()

result = client.extract(content_bytes, InvoiceModel, filename="sample_bytes.pdf")
print(result)

From base64

import base64

with open("./data/sample.pdf", "rb") as f:
  base64_string = base64.b64encode(f.read()).decode("utf-8")

result = client.extract(base64_string, InvoiceModel, filename="sample_base64.pdf")
print(result)

🧠 Features

• ✅ Simple interface for sending documents to the Regia Vision API
• ✅ Supports file path, bytes, and base64 inputs
• ✅ Use Pydantic models to define the expected data
• ✅ Automatically converts Pydantic to schema JSON

🔐 Authentication

You must provide an API token and base URL:

export BASE_URL=https://your-api-url.com
export API_TOKEN=your_api_token_here

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Made with 💡 by Regia.ai