LatentFatTail Labs
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PictureEchoSorcim Technologies
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Related Products
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About
Latent is a native macOS disk cleanup and storage-analysis app for developers and people who use local AI tools. It attributes storage to the apps and tools that created it, including model files, developer build artifacts, package caches, Docker data and app files, then labels items as recoverable, user-controlled or protected. Users can inspect space by owner, review memory use, uninstall apps and find near-duplicate AI images and videos by similarity. Cleanup actions are recorded for recovery: file removals can be restored from Trash, while items managed by external tools have recovery guidance. An optional built-in Model Context Protocol (MCP) server lets compatible assistants inspect scans and propose cleanup actions, which require user confirmation. Latent runs locally on macOS 14 or later; scanning is free and a license is required to remove files.
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About
PictureEcho is a powerful duplicate photo finder that helps users identify and remove both exact duplicates and visually similar images from large photo collections. Manually sorting through thousands of files across folders and drives can be time-consuming, but PictureEcho simplifies the process with an intelligent and user-friendly approach.
It uses an advanced visual similarity algorithm to detect identical and near-duplicate images, including resized or edited versions.
PictureEcho scans multiple locations, including internal drives, external devices, and libraries like macOS Photos and Adobe Lightroom. Results are grouped clearly with side-by-side previews and detailed metadata, making review easy.
With smart selection options, users can quickly choose which files to keep and either delete duplicates or move them safely. Supporting 20+ formats, including RAW, and optimized for modern systems, PictureEcho delivers fast, accurate, and efficient photo cleanup.
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Platforms Supported
Windows
Not Supported
Mac
Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Supported
Chromebook
Not Supported
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Audience
Mac developers, AI and machine learning practitioners, and creators who generate images and video with AI
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Audience
Our software can be used from every common man to big industries for deleting duplicate photos
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$12.99 one-time
Scanning is free; a one-time license covers up to three Macs and is required to remove files.
Free Version
Supported
Free Trial
Not Supported
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Pricing
$39.99 per year
Annual pricing with discounted plans for multiple licenses.
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationFatTail Labs
Founded: 2025
South Korea
latentmac.com
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Company InformationSorcim Technologies
Founded: 2004
Pakistan
www.sorcim.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Adobe Lightroom
Not Supported
Adobe Photoshop Lightroom Classic
Not Supported
Claude Code
Supported
Codex CLI
Supported
Cursor
Supported
Gemini CLI
Supported
Grok
Supported
Model Context Protocol (MCP)
Supported
Visual Studio Code
Supported
macOS Big Sur
Not Supported
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Integrations
Adobe Lightroom
Supported
Adobe Photoshop Lightroom Classic
Supported
Claude Code
Not Supported
Codex CLI
Not Supported
Cursor
Not Supported
Gemini CLI
Not Supported
Grok
Not Supported
Model Context Protocol (MCP)
Not Supported
Visual Studio Code
Not Supported
macOS Big Sur
Supported
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