I want to build an invoice extractor for free , in which I can get desired details when I upload my invoice pdf, in a JSON format, I have tried many things like hard code approach, pre trained models on hugging face , docling , donut and layoutlmv3 too , but I am not getting accurate results , the structure and contents of my invoices are different.
If anybody can help me it would be great.
You can always use llm apis, like open ai , calude or deepseek?
So, I just created PDF based n8n node which is completely free but only for now it can do some basic stuff for real.
Right now it was in development:
- Split Pages, Merge PDF’s isn’t working for now.
And the Generate Invoice Is already working. If this is something you are looking at you are open to try it already.
By installing this as a community node “n8n-nodes-pdfbro”
And let me know what more features you need here…
And the codebase is opensource too[Open for pull requests]:
I can highly recommend easybits for data extraction. It’s super easy to set up and can be implemented directly via API through an HTTP node. You can find a step-by-step integration guide here: Extract Structured Data from Documents in Minutes
If you need any help, feel free to reach out. I’ve also created a workflow that does exactly what you’re trying to achieve, but it uses Telegram as the interface, allowing you to upload PDF files or photos directly through the chat. You can find the workflow here: Automated expense tracking with Telegram, easybits & Google Sheets | n8n workflow template