AI or Not

What is AI or Not

AI or Not is an AI detection platform that identifies AI‑generated content across images, audio, and KYC identity documents. Trusted by 100k+ users, it helps companies reduce fraud, automate content moderation, and strengthen identity verification workflows. By analyzing visual and audio signals, it flags synthetic media, manipulated IDs, and deepfake patterns so teams can make informed decisions. With tools for reviews and integrations, AI or Not supports scalable, privacy‑minded checks in production environments.

AI or Not Features

• Multimodal AI detection: Detects AI‑generated images, audio deepfakes, and tampered or synthetic identity documents used in KYC.
• Fraud prevention workflows: Supports review queues and decisioning to block fake accounts and stop chargeback or onboarding abuse.
• Content moderation support: Screens user‑generated images and audio to enforce platform policies at scale.
• Enterprise integration: Designed to plug into existing KYC and trust & safety pipelines via API and automation.
• Scalable operations: Built to handle batch checks and high‑volume submissions for production use cases.
• Actionable outputs: Clear pass/fail style signals for synthetic media risk that can feed downstream rules.

Who Should Use AI or Not

AI or Not suits trust & safety teams, fintech and crypto platforms handling KYC, marketplaces and social apps moderating user content, payment providers mitigating fraud, media and ad networks verifying assets, and compliance or risk teams that need reliable AI content detection before approving users or publishing content.

How to Use AI or Not

1. Collect the assets you need to verify (images, audio files, or ID document scans/screenshots).
2. Upload files through the dashboard or integrate the API into your KYC and moderation flows.
3. Run detection and review the results to identify AI‑generated or manipulated content.
4. Route flagged items to manual review, apply automated rules, or reject/approve based on your policy.
5. Monitor performance and adjust thresholds or routing to balance risk, precision, and user experience.

AI or Not Industry Use Cases

A neobank integrates AI or Not in onboarding to detect synthetic IDs and stop KYC scams. A creator platform screens images and voice uploads to prevent AI‑generated spam and deepfake impersonations. A classifieds marketplace checks product photos for AI synthesis to reduce misleading listings. A payments app adds a pre‑check on support call recordings to catch deepfake audio used in account takeover attempts.

AI or Not Pros and Cons

AI or Not FAQs

• Can AI or Not detect deepfake audio?

  Yes. It analyzes audio signals to flag likely AI‑generated or manipulated speech and voice content used for impersonation or social engineering.

• Does it integrate with KYC workflows?

  It is designed to plug into KYC and identity verification pipelines so teams can automatically screen ID documents and route risky cases to review.

• What files can be checked?

  Images, audio files, and scanned or photographed identity documents are supported, enabling checks across core fraud and moderation scenarios.

• Is it suitable for large‑scale moderation?

  Yes. It supports high‑volume processing and automated decisions, helping platforms maintain policy compliance while reducing manual load.

• Do I still need human review?

  Best practice is to keep human‑in‑the‑loop for edge cases and appeals, using AI or Not to prioritize risk and accelerate accurate decisions.