A lightweight library to parse and categorize receipts from OCR text
Project description
Receipt Parser
A lightweight Python library to parse and categorize receipt data from OCR-extracted text.
Features
- Parse receipt text from OCR output (PDFs, images)
- Extract key data: store name, total amount, payment mode, date
- Auto-categorize receipts (Groceries, Food, Travel, Shopping, etc.)
- Robust text cleaning - handles common OCR encoding issues
- Easy to use - simple, intuitive API
Installation
pip install receipt-parser-ocr
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file receipt_parser_ocr-1.0.1-py3-none-any.whl.
File metadata
- Download URL: receipt_parser_ocr-1.0.1-py3-none-any.whl
- Upload date:
- Size: 4.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fd9e51f0cf8dc9e9ad5177f83deebade73589639a0b63b62115e426ee97598e6
|
|
| MD5 |
4ca4d6e5acb1ebd16a70289e83ab848b
|
|
| BLAKE2b-256 |
7ed1e77f03709036c64cbce66a5e563dafe1a648f1c3e03784e225ce14cd023d
|
