Understanding the workflow.
Manual document processing is repetitive, and extracted information needs context, validation, and a reliable review path.
All ProjectsINTELLIGENCE, WITH OVERSIGHT.01 / THE PROBLEM 02 / THE SOLUTION 03 / ARCHITECTURE01 02 03 04 04 / KEY FEATURES 05 / ENGINEERING CHALLENGES 06 / TECHNOLOGY STACK 07 / OUTCOME
ENGINEERING CASE STUDY · DEMO
Portfolio conceptDocuFlow AI
Intelligent Document Processing Platform
DocuFlow AI Search your workspaceNS
Document workspaceReview. Validate. Move forward.
Documents24▁▂▂▃▂▄▅▃▅▆
Ready for review06▁▂▂▃▂▄▅▃▅▆
Completed18▁▂▂▃▂▄▅▃▅▆
Recent documentsView all ↗
Invoice_Q3.pdfExtracted fields · Ready to reviewReady
Service_agreement.pdfExtracted fields · Ready to reviewProcessed
Research_notes.pdfExtracted fields · Ready to reviewProcessed
PROJECT OVERVIEW
An AI-powered document processing workflow designed to transform uploaded documents into validated structured data with human review and automation.
A connected approach.
A document pipeline with schema-based extraction, confidence signals, and human review before downstream actions.
Designed as a system.
Document upload & OCR
FastAPI processing services
Schema-validated extraction
Human review queue
Purposeful functionality.
- Document intake
- Extraction status tracking
- Structured field review
- Approval workflows
Beyond the happy path.
Making uncertain AI output visible and reviewable rather than silently treating every extraction as correct.
PythonFastAPIPostgreSQLReactOCRLLM APIsDocker
A foundation to build on.
A demo of practical human-in-the-loop document processing; no production performance claims are made.
Live and source links will be added when available.
NEXT PROJECT
FlowOps
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