Haoyi-SJTU

Haoyi-SJTU / Invoice_LLM

Public

基于千问大模型的发票文件批量处理汇总工具A Batch Processing and Summarization Tool for Invoice Documents Based on Qwen LLM

15
0
100% credibility
Found May 08, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

A user-friendly desktop app that automatically extracts key details like buyer info, amounts, and dates from invoice images and PDFs using AI, then compiles them into a ready-to-use Excel spreadsheet.

How It Works

1
🔍 Find the Invoice Helper

You stumble upon this free app online that promises to pull all the important details from your messy stack of receipts without the hassle.

2
📥 Download and Launch

Grab the ready-to-use program file and double-click to open it on your computer – no complicated setup needed.

3
🔗 Connect the Smart Reader

Click the settings button and paste in your service passcode so the AI can start reading your invoices accurately.

4
📁 Pick Your Invoice Folder

Choose the folder packed with your invoice photos or PDFs, and pick which details like amounts or dates you want extracted.

5
✨ Review Smart Extractions

For each invoice, see a preview with the AI-pulled info like buyer name, total amount, and date – easily edit anything off.

6
✅ Confirm or Skip Each One

Hit confirm to save the data and move to the next, or skip if it's not needed, watching the progress bar fill up.

🎉 Get Your Organized Spreadsheet

When done, open the new Excel file in the same folder, perfectly formatted with all your invoice details ready for bookkeeping.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 15 to 15 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is Invoice_LLM?

Invoice_LLM is a Python desktop app built with PyQt6 that uses Alibaba Cloud's Qwen-VL vision LLM for invoice data extraction from batches of PDF, PNG, JPG, or JPEG files. Drop a folder of invoices, and it pulls fields like buyer name, tax ID, date, invoice number, project name, and total amount—converting Chinese uppercase amounts to numbers—while letting you edit and confirm before appending to an Excel sheet. It solves the drudgery of manual entry or clunky paid tools, delivering a ready-to-use summary tailored for reimbursements.

Why is it gaining traction?

This batch processing tool stands out with its lightweight setup, no-code API config via UI, and smart token-saving image compression that cuts LLM costs during bulk runs. Unlike bloated commercial software or limited free alternatives, it offers real-time verification, progress tracking, and direct Excel output without manual cleanup—ideal as an invoice extraction using llm example. Developers grab it for quick prototyping, while users love the pre-built EXE release for non-coders.

Who should use this?

Chinese university finance teams handling reimbursement stacks, like at SJTU, where the Excel format matches exactly. Small biz accountants batch processing dozens of invoices monthly via a simple GUI. Devs exploring invoice data extraction llm for custom batch processing systems, skipping boilerplate OCR setup.

Verdict

Grab the EXE release if you're in the niche—it works out of the box with solid bilingual docs—but at 15 stars and 1.0% credibility, it's early-stage with no tests, so expect tweaks for production. Solid starter for batch invoice workflows.

(187 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.