Everything Search Is Great — But It Can't Search Inside Files. Here's What Can.
Everything Search by voidtools is the fastest filename search tool for Windows, but it cannot search inside file contents. To search within documents, you need an alternative that complements Everything. The best options are DocFetcher (open-source, basic keyword search across Word, Excel, PDF) and LocalSynapse (free, AI-powered semantic search with automatic version grouping for 13+ file formats including HWP). For most users, the optimal setup is using Everything for instant filename search and LocalSynapse for content search — they work well together since LocalSynapse runs 100% offline and indexes file contents in the background.
If you work on Windows and search for files regularly, you probably already use Everything by voidtools. It's fast, free, and indexes every filename on your NTFS drives in seconds. For finding files by name, nothing else comes close.
But here's the thing: Everything only searches filenames. That works great until your file is named doc_final_v3.docx and you need to find it because it contains the phrase "partnership agreement with Acme Corp." This isn't a knock on Everything — it does exactly what it promises, and it does it brilliantly. But if you need to search inside your documents, you need something else alongside it.
What You Actually Need Beyond Everything
When filename search isn't enough, you typically need three things:
- Content search — Find files by what's written inside them, not just their names.
- Format support — Parse Office documents (Word, Excel, PowerPoint), PDFs, and other common formats. Plain text search isn't enough when 90% of your work lives in
.docxand.xlsxfiles. - Smart grouping — When a search returns 50 results, help you make sense of them. Which files are versions of the same document? Which are genuinely different?
The Alternatives
DocFetcher (Open Source)
DocFetcher has been around for years and does genuine content search across multiple file formats. It's open-source, free, and supports Word, Excel, PDF, and more.
The downsides: the UI feels dated (Java Swing), the project hasn't seen active development recently, and there's no semantic understanding — it matches exact keywords only. If you search "revenue forecast" it won't find a document that says "sales projection." You also need to manually configure which folders to index.
Still, for a free open-source tool, DocFetcher is solid if you just need basic content search.
Copernic Desktop Search
Copernic is a more polished commercial option. It indexes files, emails, and even browser history. The search is fast once the index is built, and it supports a wide range of file formats.
The catch: it's paid ($29/year for the home version, more for business). It also doesn't offer semantic search — it's purely keyword-based. And the indexing process can be resource-heavy on older machines.
LocalSynapse
LocalSynapse takes a different approach. It combines traditional keyword search (BM25) with AI-powered semantic search, running entirely on your local machine.
What that means in practice: you can search "client feedback on the proposal" and it will find documents containing phrases like "comments on the draft," "suggested revisions," or "review notes" — even if those exact words aren't in your query. The AI model (BGE-M3) understands meaning, not just character matching.
Other things it does differently:
- Automatic version grouping —
Contract_v1.docx,Contract_v2_revised.docx, andContract_final_signed.pdfshow up as one group. You see the latest version first, with older versions nested underneath. - Two-section results — Files where the search term appears in the filename show up first. Files where it appears only in the content show up in a second section, with a snippet showing exactly where the match was found.
- 13+ formats — Word, Excel, PowerPoint, PDF, HWP (Korean word processor), and plain text formats.
- 100% offline — The AI model runs locally. No files are uploaded anywhere. No account needed.
- Built-in MCP server — Developers can connect AI agents (Claude, Cursor) to search local files programmatically.
Everything vs LocalSynapse: When to Use Which
| Everything | LocalSynapse | |
|---|---|---|
| What it searches | Filenames | Filenames + file contents |
| Search method | Exact match + regex | Keywords + AI semantic |
| Office format support | Names only | Full content parsing |
| Version grouping | No | Automatic |
| Content snippets | No | Shows matching text |
| Speed | Instant | ~0.3 seconds |
| Price | Free | Free |
| Offline | Yes | Yes |
The honest answer: use both.
Everything is unbeatable when you know part of the filename. Keep it for quick filename lookups. Use LocalSynapse when you need to find files by content — when you remember what a document said but not what it was called, or when you need to find all documents related to a specific topic across scattered folders.
Everything finds files by name. LocalSynapse finds documents by meaning.
They solve different problems and complement each other well. Everything tells you where a file is. LocalSynapse tells you what a file contains.
Who Is This For?
If you work in an environment where:
- Documents go through multiple versions with inconsistent naming
- Files are scattered across local drives, shared folders, and downloads
- You can't use cloud search tools due to security policies
- You spend noticeable time every week just looking for the right file
Then you've probably already hit the limit of what filename search can do. Content search isn't a nice-to-have anymore — it's the missing piece. For a detailed comparison of all your options, check out 5 methods to search inside files on Windows.