Concept project · AI and automation
Paperlane
A workspace that reads invoices and contracts, extracts fields with a confidence score, checks them against the ERP, and answers questions with the source passages shown.
The problem it is designed around
Teams re-key invoice data and search contracts by hand. Automation helps only if people can see why a value was extracted and check every answer against its source.
- Type
- Concept project: a fictional brand, built to show the work. Not a client engagement.
- Layers
- Ingestion · Extraction · Retrieval · Review
- Stack
- Node.js, OCR, RAG, AI / LLM Integrations, PostgreSQL
- Live site
- None. This is a concept, so there is no live product.
- 01
Field extraction with review
Fields are highlighted on the page; low-confidence values are flagged for a person to confirm.
- 02
Checks before posting
GSTIN format, totals and purchase-order matches are verified before anything reaches the ERP.
- 03
Answers with sources
Questions are answered from the selected documents, with clause-level citations and a suggested follow-up action.
02Screens
The interface, screen by screen
01Answers with cited sourcesEvery answer cites the clause it came from. 02Invoice extractionExtracted fields are highlighted on the page, with low-confidence values flagged.
Have something worth building?
Tell us what you want to build. A short brief is enough to start the conversation.