gyroid53 downloadsZero-index search powered by the OS-native index (macOS Spotlight): PDF full-text, OCR'd text inside images, Office documents and notes — no indexing cost inside Obsidian.
English | 日本語
Zero-index search for Obsidian, powered by the index your OS already maintains.

Search the full text of PDFs, the OCR'd text inside images (via Apple Live Text), Office documents (Word, PowerPoint, Keynote, Excel, …) and your notes — with zero indexing cost inside Obsidian. There is no plugin-side background index, cache file, index-related startup delay, or resident search index. The plugin-side footprint stays nearly flat even for vaults with 100,000+ files.
An in-app search engine must build, load, update, and retain its own index in Obsidian's renderer process. Those costs are often negligible for an ordinary vault, but they grow with the number and size of indexed files.
macOS Spotlight already maintains a full-text and OCR index of your vault folder. Native Search queries that existing index with mdfind, leaving indexing and extraction outside Obsidian. This architecture is especially useful for very large or document-heavy vaults.
Native Search trades relevance ranking and typo tolerance for a minimal in-app footprint. See the comparison below for the practical differences.
poincare can find Poincaré. Japanese, English and other languages are supported wherever Spotlight indexes them."exact phrase" for a phrase, -word or -"excluded phrase" to exclude content and filename matches, path:Projects/ for a vault-relative path prefix, and ext:pdf for a file extension.NOTE / PDF / IMAGE (OCR hit) / OFFICE / FILE, plus NAME for filename matches (shown first).NAME → NOTE → PDF → IMAGE → OFFICE → FILE; files within each group are newest first. Configurable excerpts show the first matching context for text-based files.↵ opens in the current tab, ⌘↵ in a new tab. Files Obsidian can't display (e.g. .docx, .key) open in their default app.Omnisearch is a mature, excellent in-app search engine. It and Native Search optimize for different constraints:
| Capability | Native Search | Omnisearch |
|---|---|---|
| Relevance ranking (BM25) | No; deterministic match/type groups, then modification time | Yes; weighted BM25 document scoring |
| Fuzzy matching | No | Yes; typo-resistant search |
| Excerpts | Yes, for a configurable number of text-file results | Yes |
| Phrase & operators | Quotes, exclusions, path: prefixes, ext: filters |
Quotes, exclusions, extension filters |
| PDF full-text | Spotlight metadata index | Via the companion Text Extractor plugin |
| Image OCR | Spotlight / Apple Live Text | Via the companion Text Extractor plugin |
| Office documents | Spotlight metadata importers | Via the companion Text Extractor plugin |
| Indexing cost | No index inside Obsidian; the OS maintains it | Builds and updates a MiniSearch index inside Obsidian |
| Startup impact | No plugin index to load or rebuild | May load or update its cache/index; cost depends on the vault |
| Memory footprint | No resident plugin search index | Resident index grows with the indexed corpus |
| Vault-size scaling | Near-flat plugin-side cost; particularly suited to 50k–100k+ files | Indexing, cache, and memory work grow with the corpus |
| Index freshness | Spotlight updates asynchronously; timing is controlled by macOS | Vault changes can be reflected immediately |
| Platforms | macOS desktop only | Desktop and mobile (dependency features may vary) |
For small to medium vaults, Omnisearch is an excellent choice: its relevance ranking, fuzzy matching, broad platform support, and immediate index updates make it a more capable general-purpose search experience.
Native Search's advantage becomes clearest in huge vaults. In one 100k-file stress test, an in-app indexer added about 9 seconds to startup, used roughly 668 MB of additional heap, and could freeze the renderer while writing its cache. Native Search added no plugin-side index build, cache write, or resident index. Those figures are a workload-specific observation rather than a universal benchmark, but they illustrate the architectural difference.
mdfind) is a macOS facility. (Windows Search / Linux equivalents are conceptually possible — PRs welcome.)mdfind -onlyin /path/to/vault "kMDItemTextContent == '*someword*'cd"
If this returns nothing for a word you know exists, check System Settings → Siri & Spotlight → Spotlight Privacy, and note that some external/network drives are not indexed.mdfind, so results are grouped (filename → notes → PDF → images → Office → other files) rather than relevance-ranked.Everything runs locally. The plugin spawns mdfind (a standard macOS command-line tool) against your vault folder only. No network requests, no telemetry, no index files written.
Until the plugin is accepted into the community directory:
main.js, manifest.json, styles.css from the latest release.<vault>/.obsidian/plugins/native-search/.Or use BRAT with gyroid-eth/obsidian-native-search.
MIT