CAINE (Computer Aided Investigate Environment) vs. Phonexia Orbis Investigator

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
CAINE
Score 0.0 out of 10
N/A
CAINE (Computer Aided INvestigative Environment) is an Italian GNU/Linux live distribution created as a Digital Forensics project. CAINE offers a complete forensic environment that is organized to integrate existing software tools as software modules and to provide a graphical interface. It is open source and free.N/A
Phonexia Orbis Investigator
Score 0.0 out of 10
N/A
Phonexia Orbis Investigator is an out-of-the-box solution for the rapid investigation of audio recordings by law enforcement agencies. Powered by voice biometrics and speech recognition, it identifies speakers and other key information in audio recordings automatically and provides investigators with an interface for performing case-specific analyses and visualizations, managing notes, and creating reports.N/A
Pricing
CAINE (Computer Aided Investigate Environment)Phonexia Orbis Investigator
Editions & Modules
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Offerings
Pricing Offerings
CAINEPhonexia Orbis Investigator
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Best Alternatives
CAINE (Computer Aided Investigate Environment)Phonexia Orbis Investigator
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User Testimonials
CAINE (Computer Aided Investigate Environment)Phonexia Orbis Investigator
ScreenShots

Phonexia Orbis Investigator Screenshots

Screenshot of Innovative Audio Analysis: Uncover the parts of interest instantly with automatic analysis of an entire set of audio recordings with Phonexia’s cutting-edge, AI-powered voice biometrics and speech technologies.Screenshot of Efficient Investigation: Make progress with investigations faster by always having crucial information at your fingertips, using an intuitive user interface designed to show you the most important information first.Screenshot of Effortless Voice Recognition: Never miss a person of interest’s voice with the automatic detection of the same voice biometrics patterns across the investigated set of audio recordings that groups identical voices together.