Target: Descript

Descript AI Detection

Check if a video or voice may have been AI-generated or AI-edited

AI Video Detector helps verify media suspected of being created or altered with tools such as Descript by analyzing observable voice, audio, and timeline patterns commonly found in AI-assisted content.

Upload audio or video to receive a likelihood-based assessment, designed to support verification, fact-checking, and moderation workflows.

AI Video Detector
3 Credits / Scan
Upload → Analysis → Assessment
Use the AI Video Detector
Probabilistic Summary

Descript AI Detection analyzes audio and video content for indicators commonly observed in AI-generated voices, AI-assisted editing, and synthetic media. While no detector can guarantee certainty, this analysis helps estimate whether content is more likely authentic or AI-modified based on observable signals.

What is Descript AI Detection?

Descript AI Detection refers to the process of analyzing media files suspected of being modified or generated using AI voice synthesis features commonly associated with Descript or AI-driven video editing.

The analysis helps identify potential discrepancies in voice spectral properties, background noise consistency, and visual timeline continuity that may originate from AI-assisted production.

How does Descript AI analysis work?

Upload

Audio or video is uploaded for spectral and visual inspection.

Analysis

The system checks for voice synthesis artifacts and edit discontinuities.

Cross-Reference

Visuals are cross-referenced with audio timelines.

Result

A probabilistic assessment highlights potential AI modifications.

Analysis indicators

Voice authenticity and Overdub indicators

Analyzing voice audio for unnatural patterns, synthetic-sounding artifacts, or inconsistencies in tone and cadence that may appear in AI-generated speech.

Audio-visual alignment

Checking for subtle desynchronization between lip movements and speech, which can occur in AI-dubbed or manipulated content.

Editing continuity and timeline coherence

Identifying abrupt changes in background noise floors or visual jump cuts that suggest automated or AI-assisted editing.

Frame-to-frame consistency

Evaluating visual smoothness to detect artifacts introduced during automated or AI-assisted editing processes.

Texture and surface stability

Looking for inconsistencies in video textures that might result from generative fill or background replacement.

When should you verify content suspected of using Descript?

Verifying interview authenticity (Voice clones)
Detecting undisclosed AI edits in journalism
Legal review of audio/video evidence
Checking for deepfake dubbing
Ensuring compliance with AI disclosure rules

Frequently Asked Questions about Descript

How does the AI Video Detector analyze content suspected of using Descript?

The AI Video Detector examines audio and video for indicators commonly observed in AI-synthesized voices and AI-assisted editing, such as unnatural voice patterns, mismatched ambient noise, and timeline discontinuities.

Does the AI Video Detector rely on access to Descript?

No. The analysis is based entirely on observable characteristics in the final audio or video output.

Can it analyze AI-edited audio or re-exported videos?

Yes, specifically for voice synthesis and edit points. However, extreme compression or background music may mask some indicators.

Why might real content be flagged?

Heavy manual editing, aggressive noise reduction, or low-quality recording equipment can sometimes produce signals similar to AI manipulation.

Is Descript AI detection 100% accurate?

No. Detection is probabilistic and intended to support human judgment, not replace it.

AI Video Detector

Verify audio and video authenticity using a likelihood-based AI analysis approach.