receiptor 1.1.1

Extract receipt / invoice/ orders data from your gmail .

Receiptor Package

Overview

Receiptor is a Python package designed to extract receipt, invoice, and order data from a user's Gmail account. It provides an easy-to-use interface for developers to fetch and structure email data, including attachments. The package also includes a feature that uses LLMs (Language Model Models) to structure the extracted data into JSON format.

Github Repository : Repo

Features

• Extract receipt/invoice/order data from Gmail
• Parse email attachments
• Structure extracted data using LLMs

Installation

To install the Receiptor package, use pip:

pip install receiptor

Usage

1. Import required modules

from receiptor import Receiptor
from receiptor.llm_parser.gpt_4o_mini_parser.gpt_4o_mini import DocumentStructureExtractor

2. Setup OpenAi Api Keys as follows :

Pass the API keys into the function.

structured_data = DocumentStructureExtractor.structure_document_data(
       raw_text=data.attachments[0].attachment_raw_text
       ,openai_api_key = "" , org_id = ""
   )

Note : org_id is optional , if you are using any organisation project then you may require this org_id , which can be obtained through open ai account dashboard. For more information you can go through open ai official documentation.

3. Initialize the Receiptor object

obj = Receiptor()

4. Set up Gmail access token

Obtain a Gmail access token through the OAuth2 flow. Store this token securely.

access_token = "Your_Gmail_access_token_here"

5. Fetch and process receipt data

for data in obj.fetch_receipt_data(access_token=access_token):
    print(data)
    if data.attachments:
        # Print the raw text of the first attachment
        print(data.attachments[0].attachment_raw_text)
        
        # Structure the attachment text using DocumentStructureExtractor
        structured_data = DocumentStructureExtractor.structure_document_data(
            raw_text=data.attachments[0].attachment_raw_text ,openai_api_key = "your api key" , org_id = "org id but this is optional"
        )
        print(structured_data)

Example Output

Main Data

{
"message_id": "1dsse2342dfs3",
"body": "body text",
"company": "zomato.com",
"attachments": [
"<models.attachment.Attachment object at 0x1040d45c0>",
"<models.attachment.Attachment object at 0x10407b440>",
"<models.attachment.Attachment object at 0x103f90980>"
],
"attachment_extension": "pdf"
}

Attachment Raw Text

Zomato Food Order: Summary and Receipt

Structured Document Data

{
"brand": "brand name",
"total_cost": "189",
"location": "New york",
"purchase_category": "Food",
"brand_category": "Culinary Services",
"Date": "01-01-2024",
"currency": "INR",
"filename": "filename",
"payment_method": null,
"metadata": null
}

Contributing We welcome contributions to the Receiptor package. Please feel free to submit issues, feature requests, or pull requests on our GitHub repository. License This project is licensed under the MIT License. See the LICENSE file for details. Support

Thank you for using Receiptor! We hope this package simplifies your receipt and invoice data extraction process.