ncrypt is an open-source encrypted file manager leveraging fully homomorphic encryption to enable secure storage, management, and querying of files by indexing and searching metadata while maintaining privacy.
Fully Homomorphic Encryption (FHE), Python (Concrete Library), Hugging Face Models
2025-07-05
- Website
Highlight 1
Ncrypt provides the ability to perform keyword and cosine similarity search over file metadata, such as text, images, and audio files, which is a key feature in maintaining security while enabling effective file management.
Highlight 2
The app uses Fully Homomorphic Encryption (FHE) to perform searches over encrypted data, ensuring that file contents never need to be exposed during the search process, which is a great advantage for users concerned about privacy.
Highlight 3
Ncrypt's support for a variety of file types (text, image, and audio) and its ability to generate vector embeddings for these files offer a versatile solution for managing and querying encrypted data across different media types.
Improvement 1
As FHE is inherently slow, the search performance could benefit from optimizations, especially when dealing with larger datasets. Reducing the time needed for metadata extraction and search could enhance usability.
Improvement 2
The app works best with directories under 25 files, but this may limit its usefulness for users with larger file repositories. Implementing strategies to handle larger datasets efficiently could improve user experience.
Improvement 3
The product is currently built as a command-line interface (CLI), which can be intimidating for non-technical users. A graphical user interface (GUI) could make the product more accessible to a broader audience.
Product Functionality
Consider optimizing the FHE-based search algorithms to improve performance when working with larger datasets, especially in directories with more than 25 files. This could involve parallelizing metadata extraction or caching frequently queried data.
UI & UX
The product could benefit from a GUI to complement the existing CLI, making it more accessible to non-technical users. Providing a web-based interface would make it easier for users to interact with the encrypted file manager.
SEO or Marketing
To increase visibility, a more detailed marketing campaign should be launched. This could include blog posts, case studies, and tutorials demonstrating how users can implement the product for secure file management in different scenarios.
MultiLanguage Support
Adding multi-language support would make Ncrypt more accessible to international users. Offering translations in major languages like Spanish, French, and German could help attract a wider user base.
- 1
What is Fully Homomorphic Encryption (FHE)?
Fully Homomorphic Encryption (FHE) is a type of encryption that allows computations to be performed on encrypted data without decrypting it. This ensures the privacy of the data while still enabling meaningful operations, such as searching over encrypted files.
- 2
Can I search for content inside files using Ncrypt?
No, Ncrypt currently supports searching over file metadata, such as keywords or embeddings. You cannot search inside the actual content of the files unless the metadata is indexed first.
- 3
Which file types are supported by Ncrypt?
Ncrypt currently supports metadata extraction for text, image, and audio files. It can generate vector embeddings for these file types, allowing you to perform encrypted searches on them.