← All workAI · DATA ENGINEERING · DOCUMENT PROCESSING · 2026

DocExtract.

ドックエクストラクト

Teams were burning hours manually transcribing invoices, purchase orders, and scanned PDFs into structured data.

DocExtract hero
ClientEnjin Studio
LocationBrisbane
Year2026
RoleDesign + Engineering
StatusSHIPPED
01 · Challenge

Why this needed building.

Every business handling invoices, purchase orders, or quotes deals with the same pain: humans manually typing numbers from PDFs into spreadsheets. It's slow, error-prone, and a terrible use of people's time. Existing document parsing tools are expensive, brittle on scanned documents, and inflexible when format changes.

02 · Solution

How we built it.

We built a lightweight tool that combines OCR with LLM-based field extraction. Upload any document, scanned or digital, and get structured data out. The LLM handles format variation without needing templates for every supplier. Output goes straight to CSV or an API.

03Outcome

DocExtract is a lab project, live and usable, continuing to evolve. It's been tested across dozens of document types.

"Every business has a pile of PDFs they wish were spreadsheets."
Enjin Studio
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