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Officially verified details What Made It

Evidence-first AI detection for images, PDFs, and digital media. Inspect multi-channel forensic signals, C2PA Content Credentials, and metadata with transparent limitations.

What Made It

What Made It Reviews and Details

This page is designed to help you find out whether What Made It is good and if it is the right choice for you.

Screenshots and images

  • AI image evidence you can inspect. //
    2026-09-11
  • See why the AI signals agree. //
    2026-09-11
  • Three independent evidence channels. //
    2026-09-11
  • 100% private browser forensic tools. //
    2026-09-11
  • Inspect C2PA credentials & camera origin. //
    2026-09-11

Features & Specs

  1. Multi-Signal Evidence

    Evaluates visual diffusion patterns, container metadata, and C2PA credentials independently instead of a single black-box score.

  2. Data Privacy & Security

    Zero file retention. Uploaded files are processed in ephemeral encrypted pipelines, immediately discarded, and never used to train AI.

  3. C2PA Provenance Forensics

    Cryptographic manifest inspection verifying authentic camera hardware signatures (Leica, Sony) vs. AI generators (DALL·E, Midjourney).

  4. Client-Side Tools

    100% private browser tools for PDF document tampering, frame-by-frame video deepfake checks, and EXIF metadata extraction.

  5. Supported Formats & Pricing

    JPEG, PNG, WebP, PDF documents. Freemium with 3 free scans per day (no signup required) and Pro plan at $19/month.

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Questions & Answers

As answered by people managing What Made It.
  1. What makes What Made It unique?

    What Made It? is built on an evidence-first, transparent philosophy. Unlike typical AI detectors that act as black boxes spitting out a single untrusted percentage, What Made It? evaluates three independent evidence channels separately: visual diffusion micro-patterns, container EXIF/XMP metadata, and cryptographic C2PA Content Credentials. Furthermore, it provides dedicated 100% private, client-side browser tools that execute directly on your device with zero file uploads.

  2. Why should a person choose What Made It over its competitors?

    1. Consensus Over Guesswork: We cross-examine signals across multiple independent model architectures to eliminate single-detector false positives.
    2. Uncompromising Privacy: Files are processed through ephemeral encrypted pipelines and immediately discarded — never retained, sold, or used to train AI models.
    3. Hardware-Level Provenance: We inspect C2PA manifests to verify authentic hardware camera signatures (Leica, Sony, Nikon) versus AI generator assertions (DALL·E, Midjourney, Firefly).
    4. Multimodal & Document Integrity: Beyond images, we inspect PDF contracts for internal revision tampering and video clips for frame-by-frame deepfake flickering.
  3. How would you describe the primary audience of What Made It?

    Our primary audience includes: - Journalists, fact-checkers, and OSINT researchers verifying viral media and synthetic deepfakes. - Legal, HR, and compliance professionals auditing contracts, invoices, and resumes for digital alterations. - Photographers, digital artists, and publishers proving authentic camera capture and protecting copyright provenance. - Privacy-conscious professionals who require rigorous digital authenticity checks without uploading sensitive files to external servers.

  4. What's the story behind What Made It?

    As generative AI exploded, content verification became an opaque guessing game dominated by proprietary black-box detectors that frequently contradicted one another with no explanation. We founded What Made It? on a foundational principle: a conclusion is useful only when you can inspect how it was reached. We set out to build an open, verifiable evidence platform that separates visual signals from file metadata and cryptographic provenance, delivering clarity rather than false certainty.

  5. Which are the primary technologies used for building What Made It?

    • Cloudflare Workers & Global Edge Runtime for ultra-low latency, zero-retention data processing.
    • Next.js & React with client-side Web Workers and WebAssembly for private, on-device container parsing.
    • C2PA (Coalition for Content Provenance and Authenticity) cryptographic manifest decoders and X.509 certificate validators.
    • Multi-model deep learning ensembles for diffusion artifact detection and video temporal frame analysis.
  6. Who are some of the biggest customers of What Made It?

    • Independent investigative journalists and fact-checking newsrooms
    • Legal and compliance teams verifying digital contracts and invoices
    • Professional photographers and media agencies adopting C2PA hardware credentials
    • OSINT researchers and forensic media analysts
    • Privacy-first creative agencies and freelance professionals

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