BeaconFind
Semantic desktop search finds files, emails, and photos by meaning, running AI models locally on Windows. Supports 70+ file types, OCR image search, 50+ languages, instant document previews, AI chat, duplicate detection, and encrypted, private indexing.
Cost / License
- Pay once or Subscription
- Proprietary
Application type
EUPlatforms
- Windows
Features
Properties
- Configurable
- AI-Powered
Features
- Batch Rename Files
- Works Offline
- Indexed search
- PDF OCR
- No Telemetry
- Local AI
- Search in files
- Duplicate File Finder
- Gaming Mode
- File Search
- Semantic Search
- Global hotkey
- GPU Acceleration
BeaconFind News & Activities
Recent activities
- BeaconFind updated BeaconFind
- fabien98 liked BeaconFind
Danilo_Venom added BeaconFind as alternative to Microsoft PowerToys, Flow Launcher, Raycast and Alfred- BeaconFind added BeaconFind
BeaconFind information
Developed by
Onat Atmaca Licensing
Proprietary and Commercial product.Pricing
One time purchase ranging between $19 and $49, and / or subscription ranging between $1 and $2 per month.Alternatives
36 alternatives listedSupported Languages
- English
What is BeaconFind?
BeaconFind is a desktop search tool for Windows that finds files based on content, not filenames. Users can search by typing a description of the file after pressing Ctrl+K. The app works offline, keeping all files and search data private. It only requires internet for license verification and updates, which can be blocked without affecting the search function.
The tool can search over 70 file types, including PDF, Word, Excel, and more. It also has an image recognition and OCR feature for photos and screenshots, and can search scanned PDFs and text in over 50 languages.
Other features include a hybrid search function, an AI chat, duplicate detection, AI-suggested file renaming, and instant preview for various file types. Users can also manage background indexing with three resource modes.
BeaconFind works on Windows 10 or 11, 64-bit, and downloads its AI models once. The AI model sizes range from 0.8 GB to 6 GB. An optional NVIDIA GPU will be used if available.