Van-to-Quote

说明与用途

Van‑to‑Quote 是一款离线应用，使用 Whisper 和本地 Qwen2.5 模型将工人口述的工作记录转换为带价的 PDF 报价单，确保数据私密且不产生云端费用。

问题

Tradespeople spend evenings typing quotes after jobs; cloud quoting apps require internet and store customer data.

结果

The app enables offline, private, zero‑per‑quote cost quoting, reducing manual typing and eliminating cloud dependence.

工作流

• 1. Record spoken job notes using the app’s microphone or text box.
• 2. Whisper (faster-whisper) transcribes the audio to text.
• 3. A local LLM (Qwen2.5 3B via Ollama) parses the transcript and outputs JSON with items, quantities, and hours.
• 4. Python code matches JSON items against a local prices.json file, applies VAT, and calculates totals.
• 5. ReportLab generates a PDF quote; items not in the price list are flagged for manual pricing.
• 6. The user reviews and edits the draft in a Flask web page, then downloads the final PDF.

证据

Van-to-Quote is a local app that turns a tradesperson's spoken job notes into a priced PDF quote.

来源

Whisper (faster-whisper) transcribes -> a local LLM extracts items, quantities and hours as JSON -> your own price list supplies every price and all maths is plain code.

来源

The key design choice: the model never sets a price. It only decides what was done.

来源

I tested the full flow end to end on my own laptop with spoken job descriptions.

来源