Local-first where practical
Prefer on-device processing when it meaningfully reduces unnecessary exposure.
Secure Tools
Local-first software with clear privacy boundaries.
An ecosystem of independently maintained browser tools, desktop applications, local AI software, and reusable libraries designed to minimize unnecessary data exposure.
What Secure Tools is
Independent projects, shared expectations
Secure Tools brings independently released software into one understandable ecosystem. Projects favor local processing where it is practical and disclose when network access, storage, or other runtime behavior is required.
Each product owns its technical guarantees, version, and release cycle. The Hub provides discovery and high-level disclosure without forcing projects into one runtime, plugin system, or ecosystem version.
Core principles
Practical boundaries people can inspect
Minimal unnecessary data exposure
Request, transmit, and retain only what a product actually needs.
Transparent network behavior
Explain when requests occur and what purpose they serve.
Privacy-aware defaults
Favor lower-exposure behavior by default where it is technically appropriate.
Auditable implementation
Keep source and dependencies understandable where practical.
Traceable deployment
Make official web deployment provenance visible where practical.
Products
Software for end users
Each application is maintained and released independently.
Browser application
Stable
Secure Tools Web Utilities
Local browser workflows for supported PDF, image, metadata, and privacy tasks.
View product
Desktop application
In development
Secure Desktop Pet
A local desktop companion developed outside the browser utilities runtime.
View product
Local AI application
Planned
Secure Local AI
A planned category whose processing, model, and network boundaries are not finalized.
View productLibraries
Reusable technical components
Libraries support products without becoming end-user applications.
Library
v0.1.1
Secure Metadata
Deterministic, local metadata inspection, cleaning, and verification for supported image formats.
View libraryPrivacy disclosure
One ecosystem does not mean one universal guarantee.
Browser tools, desktop applications, local AI runtimes, and libraries have different processing and network requirements. Product-specific disclosures take precedence over ecosystem-level principles.
Understand the ecosystem privacy model