mahmoud / mahmoud/awesome-python-applications

Add project: InvoiceFlowAI

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Dominant language
Jupyter Notebook
Stars
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Forks
2.7k
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Description

## Basic info

**Application name**: InvoiceFlowAI
**Application repo link**: https://github.com/EthanYoQ/Invoice-Downloader
**Application home link**: https://www.orz.md/invoice-downloader/
**Application description**: Desktop application that collects PDF, OFD, and XML invoices from a user's QQ or 163 mailbox, performs OCR-assisted extraction and classification, and generates an Excel reimbursement summary while leaving uncertain results for human review.

## Qualifications

- [x] Free software with an online source repository.
- [x] Using Python for a considerable part of its functionality.
- [x] Well-known, or at least prominently used in an identifiable niche.
- [x] Maintained or otherwise demonstrably still functional on relevant platforms.
- [x] An application, not a library or framework.

## Additional notability info

I maintain InvoiceFlowAI and am submitting it for maintainer evaluation.

The application is Apache-2.0 licensed, has 301 GitHub stars, and provides current Windows x64 and macOS Apple Silicon installers. Python is the repository's primary language and implements the mailbox, invoice-processing, OCR, classification, and reporting workflow.

Its identifiable niche is Chinese electronic-invoice collection and reimbursement preparation: it handles PDF, OFD, XML, and selected invoice download links from QQ and 163 mailboxes, then produces categorized files and an Excel summary. Low-confidence results remain available for human review rather than being presented as accounting or tax conclusions.

The project was featured in issue 410 of the Chinese-language Technology Enthusiast Weekly: https://www.ruanyifeng.com/blog/2026/08/weekly-issue-410.html

Latest release: https://github.com/EthanYoQ/Invoice-Downloader/releases/latest

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Review the existing application entries in the awesome-python-applications repository and the submitted InvoiceFlowAI links first. Confirm the project's Python usage, license, maintenance, and application fit against the repository's criteria; done means the maintainers can accept the project as a properly documented list entry.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
content, documentation
Issue type
Documentation
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Active
Clarity
Mostly clear
Newbie friendliness
68/100

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