Yes. Hive sells AI-generated and deepfake detection for images, video and audio. Its product page (checked 30 September 2026) says the models return "confidence scores for whether media is AI-generated and, when available, the likely model behind it." Anyone can try it through Hive Detect, a free upload tool, or Hive's Chrome extension. If Hive is flagging an image you made and you want it to look like a real photograph, the fix is in the image itself: run it through Imagera's AI Image Humanizer. For a second opinion on any picture, use Imagera's AI Image Detector.
What Hive checks
Hive's detection is built for platforms, so most of it runs through an API. On its product page Hive lists three free tools for individuals:
| Hive tool | What it does, in Hive's words |
|---|---|
| Hive Detect | "Upload files or submit media URLs to detect AI-generated and deepfake content with detailed analysis" |
| Chrome extension | "Scan images, video, and audio as you browse with fast results and likely model attribution" |
| X Bot | "Check suspicious social content in real time as it spreads across X" |
For images, Hive describes flagging AI-generated and deepfake media such as "edited media, profile photos and user uploads." For audio, it offers segment-level scoring that shows which parts of a clip are likely AI-generated.
How accurate is Hive's AI detector?
Hive's product page doesn't publish an accuracy percentage, so there is no official figure to quote. Treat any score as a probability. A few things move scores on every detector, Hive included:
- Compression and screenshots remove the fine detail detectors read
- Heavy edits to a real photo, like beauty filters or AI retouching, can make it read as generated
- New generators can score lower until a detector is retrained on them
The same caution applies to Imagera: it does not publish an accuracy percentage for its detectors, because it has not run a benchmark that could support one.
Why an AI image looks fake to Hive (and to people)
Detectors and human viewers react to many of the same visual tells:
- Skin with no texture: no pores, freckles or stubble
- Light with no source, or shadows that disagree with each other
- No camera character: no sensor grain, no lens falloff
- Anatomy and text errors: extra fingers, melted lettering
Before and after from the AI Image Humanizer demo: same photo and pose, only the skin rendering and grain change.
How to make an AI image look like a real photo
- Fix broken parts first. Hands, faces and garbled text go to the AI Anatomy Fixer.
- Humanize the surface. The AI Image Humanizer reads the photo first, then removes the plastic AI look (skin, light and lens) in one pass. The credit cost shows on the button before you run.
- Keep composition locked when it matters. Real Film Grain adds camera sensor grain and leaves composition and colour untouched.
- Export the full-resolution file. Screenshots and heavy re-compression throw detail away.
- Disclose AI use where a platform, marketplace or client asks for it.
No tool can promise a particular score on Hive or any other detector. Detectors are retrained, and results change with every export. The humanizer is for images that should look photographic. It is not a way around a platform's disclosure rules. For the bigger picture, see how to make AI images look real.
Checking an image yourself
If you received an image and want to know whether it's AI-generated, run it through more than one detector and compare what each says. Imagera's AI Image Detector costs 15 credits a scan and lists the visual signals behind its score. For a face that might be swapped, use the deepfake detector (15 credits a scan).
Credits come with the Starter plan at $19.99/mo for 300 credits, or in packs from $39.99 for 350 credits. See pricing.
