Can Qwen3.6-35B-A3B on an RTX 3060 Replace Google Vision for Receipt-to-JSON Extraction?

I tried replacing Google Vision in my receipt pipeline with a local Qwen model.

I had an old LINE message bot where I could send a receipt photo, it would go to Google Vision, get parsed into JSON, and saved in SQLite.

Recently I tried again, but locally.

Setup:

• RTX 3060 12GB
• llama.cpp
• Qwen3.6-35B-A3B 12GB-target GGUF quant
• Paperless-ngx for uploading receipt images
• output goes to JSON / SQLite

It worked pretty well.

On around 30 Japanese receipts, the fields I actually care about were consistently right:

• store
• date
• subtotal
• tax
• total

Speed was not great, but fine for this use case:

• ~31.75s per receipt
• ~11.06 GiB peak VRAM

I wrote the details here: https://rafaelviana.com/article/qwen-receipt
Is anyone else using local VLMs for boring document extraction stuff? Receipts, invoices, forms, etc.