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.
Metadata
Release files for receiptor 1.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| receiptor-1.1.1.tar.gz | 44.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| receiptor-1.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 91.8 kB
Release files / receiptor-1.1.1.tar.gz
| Download URL | receiptor-1.1.1.tar.gz |
|---|---|
| Size | 44.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.11.8
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Release files / receiptor-1.1.1-py3-none-any.whl
| Download URL | receiptor-1.1.1-py3-none-any.whl |
|---|---|
| Size | 47.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.8
|