AI Video Authenticity Detector
Freemium
Content moderators who need to triage user submissions quickly and document verdicts for policy enforcement.
You're two minutes into a candidate interview or a sales call and you suspect the person on the other end is reading from a ChatGPT script — but you have no signal, just instinct. Callinf puts a live probability score on that suspicion, scoring the audio of whoever you're listening to in real time without routing the call through a third-party recorder.
$9.99/month · Free tier: 2 hours of transcription, all detection features, history of sessions · Checked Oct 20, 2026
The detector runs as a browser overlay, captures the audio from whatever tab is playing the call, and scores three independent signals — AI phrasing patterns, spontaneity, and what the docs call 'bookishness' — combining them into a single probability dial. Transcription happens either locally in the browser via Whisper or through Groq cloud, depending on which engine you pick. File upload for recorded calls is a paid-only feature. The tool is honest about its limits: the vendor explicitly states the score is a probabilistic hint, not evidence. Teams doing due diligence on recorded interviews get the same analysis pipeline on uploaded video and audio files.
Bottom line: Callinf earns its place in a recruiter's or call-center lead's toolkit for live screening — but the moment you need an audit trail, exportable transcripts, or anything beyond a session-window history, it stops being enough.
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More options in Audio Watermarking & Detection. Compare pricing, platforms, and features side by side.
Freemium
Content moderators who need to triage user submissions quickly and document verdicts for policy enforcement.
Paid
Individuals concerned about voice deepfakes
Callinf is a browser-based real-time AI-voice detector built by Hireduce. The core workflow is three steps: open the detector in an overlay window, share the audio of the active call tab, and watch a live probability score update as the conversation progresses. Three dials score AI phrasing, speech spontaneity, and linguistic formality (‘bookishness’); natural speech fillers pull the score down while AI-typical marker phrases push it up. The result is a single probability percentage alongside the specific signals that triggered it.
The standout architectural choice is local audio processing. In Local mode, Whisper runs entirely in the browser — audio never leaves the device. In Groq or Server mode, audio is sent to a server for transcription but the vendor states nothing is written to a database and the transcript exists only in the open window. For call-center and HR teams operating under data-handling policies that prohibit third-party call recording, this local-processing option is the reason to choose this tool over a cloud-heavy alternative.
Callinf fits tightly scoped screening use cases: a recruiter running an interview, a journalist verifying whether a source sounds scripted, or a support-team lead spot-checking agent calls. It breaks down when the use case requires scale or evidence. The session history does not persist to a database, so there is no exportable record. The free tier caps transcription at two hours total, which covers a handful of calls before hitting the wall. File analysis — the mode most useful for reviewing recorded calls after the fact — is a paid-only feature. The vendor is explicit that the score cannot serve as proof; teams that need defensible documentation of AI use will find the tool’s probabilistic output insufficient for HR or legal processes.
Callinf requires a Chromium-based browser (Chrome or Edge); tab-audio capture does not function in Firefox or Safari. Over 20 languages are supported including English, Spanish, French, German, Arabic, Chinese, and Japanese, selectable inside the detector. Video files uploaded for analysis are converted to audio client-side before upload, which means the video stream itself is never transmitted.
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