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Python SDK for AI-powered document validation and text extraction

Project description

AI Validator

Python SDK for AI-powered document validation and text extraction.

Installation

pip install ai-doc-validator-sdk

Quick Start

from ai-doc-Validator-sdk import Validator

# Initialize
validator = Validator(
    key="sk_test_xxxxxxxxxxxxxxxxxxxxxxxx",   # Your API key
    pid="tnmc",                                # Product ID (e.g., tnmc, kyc_pro, etc.)
    mid="USQDQVKC68"                           # Merchant/User ID (_id from your users collection)
)

# Extract text from a document
result = validator.extractText(
    publicUrl="https://your-bucket.s3.amazonaws.com/id-card.pdf",
    extra={
        "fc": "kyc",
        "fid": "F123456",
        "uid": "user_789",
        "ruid": "request_abc123"
    }
)

print(f"Status: {result['status']}")
print(f"Queue: {result['payload']['queueName']}")

Features

  • Text extraction from documents
  • Face validation
  • Combined validation
  • Webhook support for async results

Configuration

Development (default)

validator = Validator(
    apiKey="sk_test_...",
    productId="pId"
)
# Uses: http://127.0.0.1:5002

Production

validator = Validator(
    apiKey="sk_prod_...",
    productId="pId",
    environment="production"
)
# Uses: https://api.yourproduction.com

Custom URL

validator = Validator(
    apiKey="sk_test_...",
    productId="pId",
    baseUrl="http://your-custom-domain.com"
)

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