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Platform for detecting voice deepfakes and forensic documentation
AdvancedSafety and security

Platform for detecting voice deepfakes and forensic documentation

A platform that examines any audio recording to determine whether it's real or generated, compares its voice print with a known person's, and issues an evidence-backed forensic report. It also adds a digital watermark to original files to prove they weren't modified.

The problem

A fake audio clip of an official or manager can now be produced in minutes, and it spreads before anyone verifies it. There's no local body able to issue a documented verdict on a recording's authenticity and the speaker's identity.

How it works

  1. ReceivingUploading the file and recording its digital fingerprint and receipt time.
  2. AnalysisExamining generation artifacts in the frequency spectrum and the voice's fine characteristics.
  3. MatchingComparing the voice print with a reference sample when available.
  4. ReportIssuing a report with the findings, evidence, and chain of custody.

Project features

  • A verdict with a confidence level and explanation, not just labeling the recording as fake.
  • Comparing the voice print with a known reference sample.
  • A forensic report with a chain of custody: when the file arrived and what procedures were applied to it.
  • A digital watermark proving the authenticity of recordings issued by the organization itself.

Parts

All the parts you need in one place. Remove what you already have, and swap parts to fit your budget.

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Prices are estimates and may change. Parts marked “other supplier” are ordered outside our main store.

Expected challenges

These are the main obstacles to expect during the build, laid out clearly so you know them before you start.

  • Generation tools evolve faster than detection tools, so any model becomes outdated within months.
  • Compression and re-encoding remove deepfake traces, so analyzing a file received over WhatsApp is harder than analyzing the original.
  • A forensic verdict carries legal weight, so the report must state the confidence level and the analysis's limits.
  • The deepfake training data must cover several generators, or the model only learns to spot one.

The consultation gives you a solution for each one.

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Need solutions to the challenges and a complete technical path?

In the consultation we give you a solution for each challenge above, plus a practical build plan from the first step to the last: technologies, libraries, wiring diagram, timeline, and tips for the defense.

  • Consultation session
  • PDF with solutions and a plan
  • 20 د.أ فقط
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