Searchlify – Search your Mac with local AI, privately
Searchlify is a macOS application that enables users to search local files using natural language queries powered by fully offline AI. The tool utilizes on-device processing to index text, PDFs, and images, ensuring that user data never leaves the machine for privacy and speed. It is available exclusively through the Mac App Store and targets various professional groups, including developers, students, and designers.
- ▪Searchlify uses local AI and OCR to index and search content within files, PDFs, and screenshots without requiring an internet connection.
- ▪The application runs natively on Apple Silicon, leveraging the Neural Engine to provide instant results with zero cloud processing or telemetry.
- ▪Users can customize which folders are indexed to maintain privacy while searching for specific documents or code snippets using natural language.
- ▪The software is distributed exclusively via the Mac App Store, ensuring sandboxed installation and automatic updates through Apple's infrastructure.
Hacker News (AI / LLM) files mainly under ai. We currently carry 7,136 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Searchlify |
| Canonical URL | https://searchlify.saposs.com |
| Publication time | Thu, 01 Oct 2026 09:45:17 +0000 |
| Retrieval time | 2026-10-01T10:02:32.524Z |
| Last seen | 2026-10-01T10:02:32.524Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | poBrgV1y6jHd · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Search everything on your Mac — instantly.Find files, PDFs, screenshots, and documents using natural language. Powered by fully offline local AI indexing for maximum speed and privacy.Learn MoreBuilt for modern workflows.Searchlify combines advanced semantic understanding with the raw speed of native macOS indexing.Natural Language SearchType 'invoice from last month' or 'wifi password'. Searchlify understands intent, not just exact keywords.Full-Text IndexingSearch deep inside PDFs, Word documents, text files, and code. Finding content, not just filenames.On-Device OCRText inside images and screenshots is automatically extracted and indexed using local OCR.100% OfflineNo internet required.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Searchlify.
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