Feature Deep Dive
Local Clipboard Search
CrossClips combines local lexical ranking, heuristic signals, and optional on-device embeddings to make clipboard history searchable without requiring a cloud AI service.
Search model (practical, not hype)
CrossClips is focused on fast retrieval for real clipboard content. Instead of depending on remote inference, the app combines local ranking and signal detection so users can filter and find clips quickly.
Signals and filters in the current implementation
- Lexical ranking and query matching
- URL, code-like content, and OTP-like pattern detection
- Sensitive-content detectors (for example card or IBAN patterns)
- Quick content filters and smart intent matching
Optional embeddings, local-first defaults
When local model assets are available, CrossClips can use on-device embeddings to improve retrieval. If they are missing, the search experience still works through deterministic local fallback behavior.