AI Automation / Document Intelligence
DocFlow AI
An AI-powered document workflow integrating OCR, Gemini, FastAPI, and Notion to extract, analyze, organize, and manage document information.
Project overview
A document-intelligence workflow that turns unstructured files into reviewable, structured information.
- Python
- FastAPI
- Gemini API
- Notion API
- PyMuPDF
- OCR
Document-processing pipeline
The workflow starts with PDF text extraction and uses OCR as a fallback for documents that cannot provide usable embedded text.
AI analysis
Gemini is used to analyze document content and produce structured JSON output that can support downstream organization and review.
Workflow orchestration
FastAPI coordinates the processing flow, while Notion database integration supports organization, status management, and a human-review step.
Technical considerations
The design has to account for extraction quality, OCR fallbacks, structured-output reliability, and the need for people to review AI-generated analysis.
Human review
Structured output is part of a reviewable workflow: extracted information can be organized in Notion, tracked by status, and checked by a person before it is used.
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