Skip to main content

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

Project details


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

If you're not sure about the file name format, learn more about wheel file names.

receipt_parser_ocr-1.0.3-py3-none-any.whl (4.0 kB view details)

Uploaded Python 3

File details

Details for the file receipt_parser_ocr-1.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for receipt_parser_ocr-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 a918531cb9e8e70c708f43e76ea977b90338f489ae3f8905c89a3e1dd02fc386
MD5 997ae9e6fb408195676126948360d6df
BLAKE2b-256 9214d7496a4857a72d9f7b72bcaf514a8c93b5160e5e9d9ee6da8baa1809b7aa

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page