Document_Extractor_AI Muzammil592 · COMPLETED
A production-grade Document Extraction AI that parses scanned PDFs/images into clean text using PyMuPDF and EasyOCR. It uses advanced regex to capture deterministic fields and integrates an LLM logic layer to structure complex text streams into strict, validated JSON schemas via FastAPI.
github.com/Muzammil592/Document_Extractor_AI · ★ 2 · Forks 0 · Size 1.7 MB
SUMMARY
Technologies 10
Scored 10
Observed 10
Practices 6
Evidence 11
Skips 0
COVERAGE
Analyzed 18 files · 4 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
8 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
FastAPI FRAMEWORK Depth 58
1 files · PRODUCTION
NumPy LIBRARY Depth 51
1 files · PRODUCTION
Pydantic LIBRARY Depth 43
1 files · PRODUCTION
Requests LIBRARY Depth 58
1 files · PRODUCTION
Uvicorn LIBRARY Depth 58
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-07-03
Last commit 2026-07-06
Active months 1
Commits 4