ENJIN STUDIO
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Work/DocExtract

DocExtract

ClientEnjin Studio
Year2026
AIFull StackData Engineering
docextract-self.vercel.app
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Problem: Teams waste time manually transcribing invoices, purchase orders, and quotes into spreadsheets. Inconsistent fo…”

Overview

Problem: Teams waste time manually transcribing invoices, purchase orders, and quotes into spreadsheets. Inconsistent formats and scanned PDFs make reliable extraction difficult at scale.

Solution: An uploader that accepts any business document and returns a clean, structured table: line items, quantities, prices, totals, dates, and reference IDs. Built to handle diverse formats with minimal user setup.

Detail: DocExtract reuses the parser deployed in a live logistics pipeline that processes five client formats. The system combines layout-aware OCR, domain-specific entity extraction, and deterministic post-processing to produce validated CSV-ready tables. Freemium limits (five free documents/month) with a $29/month unlimited plan make it useful for individuals and teams.

Impact: Reduced manual data-entry time for bookkeepers and operations staff. In production trials the parser cut per-document processing time by >70%, lowered extraction errors, and removed a common operational bottleneck for clients with high-volume document flows.

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