mahmoud / mahmoud/awesome-python-applications
Add project: InvoiceFlowAI
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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
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- 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