File Deep Info 3.1.5: I made File Deep Info that helps you deeply inspect hidden & embedded file data: Checksum/Hex, EXIF, metadata, spoofed format detection & forensic privacy analysis
The Problem: As a developer and data security engineer, I regularly handle files from unknown or untrusted sources. My old workflow was messy and fragmented: separate tools for checksums, hex viewing, EXIF lookup, and document metadata review. It gets risky and time-consuming when you need to verify if a file extension is fake, inspect nested content inside Office/iWork/PDF files, uncover incomplete redactions, or audit private embedded data before sharing files. Comparison: Most existing tools either lack deep inspection or objects extractions capabilities or lock advanced features behind expensive bulky suite subscriptions, or just simply not maintained any more. - File Info Professional: outdated, and checksum/hex only - More Info: only checksums - FileMate: EXIF and metadata The Solution: File Deep Info works as an all-in-one native macOS forensic & privacy inspection utility, consolidating all file deep analysis into a single lightweight app — no more juggling multiple CLI or standalone tools. Core Capabilities: Hidden Data Discovery Uncover hidden rows/sheets, invisible white-on-white text in Office files, fake PDF redactions, hidden layers, and trailing/steganography data inside images. True Format Identification Ignore misleading file extensions to detect spoofed formats, disguised executables, and extension-less suspicious files. Metadata & Privacy Audit Extract full edit history, author info, EXIF/GPS data, and macOS extended attributes — including the original download source URL of a file. Embedded Object Extraction Drill into internal document structure and extract nested assets: media inside PDFs, OLE objects in Office/iWork docs, and nested embedded content. Hex & Checksum Tools Instant MD5/SHA hash calculation plus hex header preview for fast file signature validation. Why use this? Perfect for anyone inspecting sketchy files before opening, verifying whether PDF redactions actually remove sensitive content, or auditing personal/client documents for private metadata leakage — all in one, no subscription, no telemetry, no tracking, 100% offline! Pricing: Free Tier: Full fingerprint analysis, format detection, metadata extraction, and hidden content discovery — covers nearly all the daily use cases. Pro Version: $12.99 for one-time purchase to unlock Shadow Data deep parsing, recursive multi-level analysis (Analyze in New Window), and unlimited embedded object extraction. Transparency: I'm Harvey, the maker of File Deep Info. Official Site: https://filedeep.info Privacy policy: https://filedeep.info/privacy Mac App Store: https://apps.apple.com/app/file-deep-info-hidden-data/id6759220338 Would love for you guys to try it out and hear your feedback!
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Can I also check installers etc. on malware?
Virustotal integration would be nice!
Really good point. I'm considering this exactly, but for now it seems that sensitive/privacy or potential exposure detection is the main positioning for this app instead of malware or malicious data detection. (too many of them right? lol)
Nice! Some (intended to be polite!) UI design suggestions: colored text/colored button labels usually don't look nice. In general, I wouldn't use color for text unless it denotes a status, and even then, I would color the icon, and not the text. Actually in your case, my suggestion would be to use a number badge instead of adding "(##)" to the label, and have only the number badge be colored. And a tiny UI nitpick: I generally don't like seeing "Pro" indicators in the main UI of my app :) I'm happy to support, but I like a clean UI!
Thanks a lot for your really professional feedback, I totally agree with all your points. I’ve actually struggled quite a bit with the UI design for showing risks and item counts. I wasn’t sure how to clearly indicate which tab has issues — like file format spoofing, embedded hidden data or metadata problems — and display the exact detected count in a clean way. The current status prompts are indeed noisy and not elegant enough. Your idea of using colored number badges instead of plain text numbers is brilliant. I’ll definitely implement this improvement in the next update. You’re right about the Pro badge in the top-right corner too. It should be hidden automatically after users unlock the pro version. I’m also a big fan of minimal UI design. Though honestly, quite a few users actually like seeing Pro badge, lol...
UI/UX is not easy, dude, I'm hardly an expert, I just have opinions, heh. Don't be too hard on yourself! You've done great, keep going :)
New update is out with the UI redesign and privacy metadata removal, thanks buddy.
This looks like something I would use. If I recall, years back, there was an app called juicer that would do embedded object extraction Your privacy policy is a bit sparse and can you tell us a little bit about yourself?
Thanks for the feedback. Since this app runs completely offline and never accesses any user data at all, the privacy policy is kept concise for now, but I’ll expand and polish it soon. I decided to build this app because my full-time work has always been focused on privacy protection and data security compliance. App dev is just my favorite hobby in my spare time, so I’m not really a full indie dev. lol Many similar apps you mentioned, as well as enterprise-grade data analysis tools, are overly bloated with complicated toolchains. I’ve long wanted to create a simple, worry-free tool for everyday file verification, evidence auditing, privacy scanning and check accidental data exposure. So I spent around 8 months working on this project bit by bit in my free time to make it happen. I know it’s still not perfect right now, and I’ll keep improving it. I’m also a huge Kindle fan. I made another small app called Kindle Mate(KMate) for managing Kindle highlights, notes and vocabulary. If you happen to be a Kindle user, you might have heard of it or even used it before.
New major update 3.2.0 is out This major update introduces full Windows support and adds a one-click function to remove sensitive metadata from Office documents and images. It also enhances the detection and export capabilities for the actual formats of embedded objects in documents. New Features - File Deep Info now is also available on Windows Store. - One-click removal of private and sensitive metadata from Office documents and images, with cleaned files saved as new copies. It removes privacy fields such as author, company, edit history, shooting time, GPS location, and camera parameters, making it ideal for external sharing, submission, and compliance archiving. - Greatly improved in-depth format detection for hidden embedded objects in documents. For multi-layer nested content including OLE objects and archives, the app can accurately identify actual formats level by level and export the corresponding embedded files. - Added format recognition for certificate files (PEM/CER/CRT). It can also detect and recover certificates accidentally embedded within files. Optimizations & Improvements - Optimized the UI logic of risk tabs and quantity statistics for a cleaner and more consistent interface. (Thanks CtrlAltDelve for your suggestions on this thread.) - Fixed known issues and improved overall performance.
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