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

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-1.0.0-py3-none-any.whl (4.0 kB view details)

Uploaded Python 3

File details

Details for the file receipt_parser_ocr-1.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for receipt_parser_ocr-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 73965152be50a0bc68ab3033da71fc9909356a4b04f4f122637776688482706d
MD5 4576ee671e01bca80ad1c6660a380141
BLAKE2b-256 3eed14f4a2b41a38bf5be2d6f78d2df4ac5866857968a80e8f3aa507f00b0c4e

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