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amige.

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Detect AI-generated images, video, and text with confidence

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Tracked since2026
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What is amige.?

Editorial review
amige. checks whether an image, video, or text is AI-generated. it runs a weighted panel of independent detectors, fuses their reads, and shows you where they disagree. when the evidence splits, it says "uncertain" instead of guessing. every verdict comes with a confidence percentage, the per-detector breakdown, and a best guess at which of 90+ generative models made it. video detection included, which text-only checkers can't run. free tier: 3 scans a day, no card.

Preview

Key Features

scans images, video, and text against 90+ generative modelsevery detector's number shown, ranked. 0 secret blendmodel attribution when confident: looks like midjourney v6 · 71%

Pricing Plans

Pricing checked Aug 15, 2026

amige. Pass

$9 / month (or $90/year)

for the daily skeptic. weekly burst caps, video unlocked.

  • 100 image + 3 video scans per rolling 7 days; text unmetered

Is amige. worth the price?

68/100

At $9/month (or $90/year), the amige.

Pass is priced fairly for a specialized AI detection tool, offering 100 image and 3 video scans per rolling week plus unlimited text scans. This is modestly expensive compared to general AI detection APIs but reasonable for a curated consumer service that also identifies the specific model.

Best for casual users who need occasional verification without committing to high-volume plans.

Hidden Costs & Gotchas

No free tier or trial mentioned upfront

Video scan cap is very low at 3/week

Image scans reset every 7 days, not monthly

No mention of overage or pay-per-scan option

Annual discount is only 17% off monthly

How amige. Compares to Competitors

Compared to broad anti-fraud platforms like Hive or Sensity, amige. is cheaper for light use but pricier per scan than dedicated API services like Originality.ai. Its unique model-identification feature adds value, but self-hosting open-source detection models (e.g., from Hugging Face) is far cheaper for users with technical skills.

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amige. FAQ

How does amige. help verify the authenticity of a video that may be AI-generated?

amige. runs a weighted panel of independent detectors on the video, fuses their reads, and returns a verdict with a confidence percentage and per-detector breakdown. Unlike text-only checkers, amige. includes video detection as a core capability. When the detectors disagree, amige. says 'uncertain' instead of forcing a guess.

How does amige. differ from Hive Moderation in detecting AI-generated text?

amige. uses a weighted panel of multiple independent detectors rather than a single model, and it shows you where those detectors disagree. When the evidence splits, amige. returns 'uncertain' instead of a forced verdict. It also provides a best guess of which of 90+ generative models produced the text.

What are the main trade-offs of using amige. for AI content detection?

The free tier is limited to three scans per day, which may not be sufficient for heavy users. Additionally, when the panel of detectors disagrees on the evidence, amige. returns an 'uncertain' verdict rather than a definite answer, which can be a limitation for scenarios that require a clear yes or no.

Which teams would benefit most from amige.'s per-detector breakdown feature?

Teams that need transparency and auditability in AI detection, such as media fact-checkers, academic integrity officers, and content moderation teams, benefit most from the per-detector breakdown. This feature shows exactly how each independent detector voted, allowing users to understand the basis of the overall verdict.

How is amige. priced for users who need more than occasional scans?

amige. offers a free tier that includes three scans per day with no credit card required. Users who need higher usage can purchase paid plans that provide additional scans and features.

Can amige. identify the specific AI model that generated an image or text?

Yes, amige. provides a best guess at which of over 90 generative models produced the content. This model identification is based on the fused readings from its panel of detectors and is included in every verdict.

How does amige. combine readings from multiple detectors?

amige. runs a weighted panel of independent detectors, fuses their individual reads into a single verdict, and shows where they disagree. The overall verdict includes a confidence percentage and a per-detector breakdown, so users can see the level of consensus among the detectors.

When should a user expect an 'uncertain' verdict from amige.?

A user should expect an 'uncertain' verdict when the panel of detectors splits on the evidence, meaning some detectors flag the content as AI-generated while others do not. Instead of making a forced guess, amige. returns 'uncertain' and displays the per-detector breakdown and confidence percentage.

Source: amige.app

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