AI/Selector
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Document Processing

Document Extraction (OCR + LLM)

Turn PDFs, invoices, and forms into structured data automatically.

Common use cases

  • Invoice and receipt processing
  • Insurance claims intake
  • KYC / onboarding documents
  • Contract clause extraction

Why this fits

  • High-volume document workflows
  • Teams doing manual data entry today

Watch-outs

  • Very low volumes where manual review is already fast

Key features

  • Field extraction from PDFs, scans, and forms
  • Confidence scoring per field
  • Human-in-the-loop review queue
  • Write-back to ERP, CRM, or accounting systems
  • Template-free layout handling

Key benefits

  • Eliminate manual keying on high-volume documents
  • Accelerate cash cycles and intake workflows
  • Reduce data-entry errors and downstream rework

Business view

Effort
Medium
Time to value
6-10 weeks
Category
Document Processing

Expected outcomes

  • 80-95% reduction in manual keying
  • Faster cycle times
  • Fewer entry errors

ROI levers

  • Ops headcount avoidance
  • Faster cash collection (invoices)

Try it

Live demo

A lightweight, real AI demo powered by Lovable AI. Inputs are sent to a hosted model — keep it short.

Try an example

Recommended approach

VLM extraction with confidence scores + human review queue for low-confidence items.

Pilot plan — next steps

  1. 01Pick one document type to start
  2. 02Define the target schema before building
  3. 03Set confidence thresholds and a review UI
  4. 04Measure straight-through processing rate