ShivamGoyal03/PrivyDoc

A secure, on-device document analysis tool using Foundry Local & Microsoft Agent Framework

40
/ 100
Emerging

PrivyDoc is a local document intelligence tool that helps professionals analyze sensitive documents like policies, research materials, or legal contracts without uploading them to the cloud. You input PDF or DOCX files, and it extracts key information, provides summaries, recognizes entities (like names or dates), and analyzes sentiment. This tool is designed for anyone who needs deep insights from confidential documents while ensuring complete data privacy.

Use this if you need to analyze confidential PDF or DOCX documents to extract summaries, entities, or sentiment, and require all processing to happen securely on your own computer without any data leaving your device.

Not ideal if you primarily work with image-based documents that require OCR, or if your analysis needs go beyond summarization, entity recognition, and sentiment into more complex, domain-specific AI tasks.

document-analysis legal-review compliance-auditing policy-management confidential-research
No Package No Dependents
Maintenance 6 / 25
Adoption 4 / 25
Maturity 15 / 25
Community 15 / 25

How are scores calculated?

Stars

8

Forks

4

Language

Python

License

MIT

Last pushed

Nov 12, 2025

Commits (30d)

0

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