Source files
Stay in the selected folder and remain authoritative. FileNyani writes product state only below .filenyani.
Concrete privacy boundaries
FileNyani reads the folder you explicitly choose, runs retrieval and generation locally, and keeps portable workspace state beside the source files. There is no FileNyani cloud account or remote inference service.
Original files remain ordinary files. FileNyani never silently rewrites, moves, or converts them.
Portable conversations, extraction artifacts, reviews, saved field lists, and rebuildable derived state.
What lives where
Different categories of state have deliberately different owners.
Stay in the selected folder and remain authoritative. FileNyani writes product state only below .filenyani.
Stay on the device in folder-owned conversation files. No cloud conversation store exists.
Download only after an explicit preparation action and live in browser or app-owned caches, never the workspace.
Absolute recent-workspace paths stay in Desktop application data, outside portable .filenyani state.
Binds loopback only, requires a random session token, and does not expose engine credentials to the browser UI.
Derived transcripts are labelled, revision-bound, and never replace the original PDF pixels as source authority.
Network activity
Hosted Web loads application assets. Models download only when you prepare them. Vercel-hosted Web records sanitized anonymous page views; query strings are removed and workspace content or product actions are not included.
| Edition | Analytics | Expected network use |
|---|---|---|
| Hosted Web | Anonymous sanitized page views only. | Application assets and explicit model acquisition. |
| Desktop | None. | Explicit model acquisition only. |
| CLI | None. | Explicit model acquisition only. |
| Docker | None. | Explicit model acquisition only. |
The Hosted Web application and uncached model assets require initial network access. Once Native application and model assets are present, ordinary workspace processing does not require a FileNyani cloud service.
Local execution reduces data exposure. It does not make model output automatically correct. FileNyani keeps citations and trust states visible so you can judge the result.