Frequently Asked Questions
Find answers to common questions about File Deep Info
What is File Deep Info?
File Deep Info is a professional file deep analysis and security audit tool designed for macOS. It can identify real file formats, discover hidden data, extract embedded objects, and audit metadata to uncover potential security risks and privacy issues.
What makes File Deep Info different from other file analyzers?
File Deep Info uses a triple-detection model combining MIME types, UTI framework, and deep signature scanning. It can identify 97+ core complex formats and thousands of standard file types. Additionally, it ignores file extensions entirely and identifies true file types by analyzing magic numbers, making it excellent at detecting disguised or spoofed files.
What is the difference between Free and Pro versions?
The Free version includes Complete Fast Fingerprint Analysis, advanced format recognition, Full Metadata Extraction, and hidden content discovery. The Pro version adds trailing data deep analysis, recursive analysis in new windows, and unlimited embedded object extraction.
Does File Deep Info collect or upload my files?
No. File Deep Info is a 100% offline, local-only application. It does not have any network functionality and cannot upload or collect any data. Your files never leave your device - all analysis happens entirely on your Mac.
What file formats are supported?
File Deep Info supports comprehensive analysis of Office documents (Word/Excel/PowerPoint), PDF files, images (JPG/PNG/GIF/TIFF), archive files (ZIP/TAR/7Z), and Apple iWork documents (Pages/Numbers/Keynote). It can detect over 97 core formats and thousands of standard file types.
How does the hidden data detection work?
File Deep Info analyzes files at the binary level to find data that isn't visible through normal means. This includes: hidden rows/sheets in Excel, white text and comments in Word, trailing data after image EOF markers, steganographic content in images, and embedded objects in documents.
Still have questions?
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