Exiphore

6.3easy start · #16 of 20
in AI Deepfake Detection Tools

Free to practise onnot on record
Free trialnot on record
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Runs where you worknot on record

Runs on self-hosted.

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Exiphore is ranked #16 of 20 in AI deepfake detection tools on The Geeks Club. It runs on Self-hosted.

Compared on AI deepfake detection tools

Media types: video, images, audio, documents, text
Face analysis: Yes
Batch analysis: Yes
On-premises deployment: Yes

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The record

Purpose: Exiphore examines digital exhibits for signs of synthetic generation or manipulation and produces an explainable forensic record for examiner review.
Media coverage: The platform says it examines video, images, audio, documents and text.
Forensic signals: Exiphore combines eight independent families of forensic evidence and pools related measurements to avoid counting them twice.
Reports: Each exhibit can receive a finding, evidence breakdown, confidence interval, quality ceiling, custody record, examiner adjudication and digest-sealed PDF report.
Human review: A qualified, named examiner must review the measurements and sign before a result is released as an expert opinion.
Casework: Exhibits can be submitted individually, in batches, by URL or from a monitored path, and fingerprints can be linked across cases as investigative leads.
Deployment: The platform is installed on customer infrastructure, supports air-gapped and private-cloud deployment, and requires no specialised accelerators on standard server hardware.
Evidence handling: Exhibits are kept in a content-addressed, write-once locker, with seals re-verified before examination and hash-chained custody and audit records.
Access controls: The platform lists five roles, administrator-issued accounts, configurable session lifetime and per-case classification from unclassified through secret.
External model use: Optional narrative generation is the only component that can call an external model, does not touch verdicts or measurements, and can be disabled.
Validation limits: The site reports end-to-end results on a balanced 60-image sample from one public corpus and cautions that this small still-image sample is not a casework performance guarantee.
Intended users: The maker identifies law-enforcement and security agencies, police units, forensic science laboratories, prosecution, financial crime and intelligence teams as intended users.
Access and support: The site offers access by demo request and says deployment, examiner training and validation against the customer's casework are part of onboarding.
Integrations: The opened maker pages describe no named third-party integrations and state that there is no external API dependency in the examination path.

Where it ranks on The Geeks Club

Best AI Deepfake Detection Tools in 2026#16 of 20

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Sources

exiphore.com· checked 4 Oct 2026
exiphore.com/about/· checked 4 Oct 2026