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Fouine

local full-text and semantic search for scanned PDFs

Details

External ID
1254471
Source
PH
Company
—
Product
Fouine
Website domain
producthunt.com
Launched
Sept. 19, 2026
Cohort
—
Upvotes
1
Upvotes percentile
0.30815693820825313
Tags
Mac, Open Source, GitHub, Search
Fetched at
Sept. 21, 2026, 1:01 a.m.
Updated at
Sept. 21, 2026, 1:01 a.m.

Description

Fouine searches the text of every document on your Mac, scanned pages included, and opens the preview at the exact page. Fouine supports hundreds of file formats and lets AI agents help you find your texts

Enrichment

Theme
document and PDF utility tools
Vertical
Horizontal
Function
Search & retrieval
Audience
Prosumer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
local semantic search for scanned pdfs
Manually corrected
False

Could you build this?

Partial While an Electron or Tauri UI wrapping OCR tools is doable, high-performance local background indexing, OCR extraction across hundreds of file formats, and local semantic embeddings on macOS require specialized systems engineering.

What it would actually take: A production version requires native macOS integration (Swift/Objective-C using Apple's Vision framework for OCR, or Tesseract/PaddleOCR), a local vector database (such as SQLite with sqlite-vec or hnswlib), a lightweight local embedding model running on Apple Silicon Neural Engine (via CoreML), and efficient file system watcher daemons (FSEvents) designed to handle large file systems without causing high battery or CPU drain.

Competitors

Other products that read as similar to this one — 110 launches clear the similarity bar, closest 8 shown.

Attention rank: #50 of 111 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 243 days after the earliest competitor.

Other launches for this product