- SPECIMEN
AI Aware
- FILED AS
Detect Deepfakes, Cloned Audio, and AI-Generated Text in One Tool
- INTAKE DATE
- 2026-05-17
- CLASS
- Productivity
- METHOD
- desk research, filed before the Lab logged its counts
No dimension scores were recorded for this specimen, so no Koda Score is published. Read the verdict instead.
The frontline AI detector for video, audio, and text. Upload suspect media or paste text and get a confidence score on whether it was machine-generated.
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The verdict.
AI Aware is built for teams that need to verify content across multiple media types without juggling separate tools for text, images, video, and audio. If you run a newsroom, a trust-and-safety operation, or a brand protection team, the unified detection approach saves real time. The free trial lowers the barrier to testing it, but serious volume will require an enterprise conversation, and you should expect occasional false positives on edge cases.
Pricing, straight.
$0
Get started, no credit card required
- Basic AI detection capabilities
- No technical setup required
- Fast detection results
Custom
Contact sales for volume pricing
- High-volume detection
- API access
- Custom integrations
Pricing as captured on 2026-05-17. Check the live site before you commit.
No public mid-tier pricing is listed. The jump from free trial to enterprise means you will need to talk to their sales team for anything beyond basic testing.
What it actually does.
AI Text Detection
Paste any text to get a confidence score on whether it was generated by an LLM. Useful for academic integrity, editorial review, and content moderation pipelines.
Deepfake Video Detection
Upload video files to analyze for synthetic manipulation. Targets face-swaps, lip-sync deepfakes, and other AI-generated video artifacts.
Synthetic Image Detection
Identifies AI-generated images from tools like Midjourney, DALL-E, and Stable Diffusion. Flags telltale patterns that human eyes often miss.
Cloned Audio Detection
Analyzes audio files for voice cloning signatures. Critical for catching CEO fraud calls, fake interviews, and synthetic voice scams.
Unified Multi-Modal Platform
One interface for text, image, video, and audio detection. No need to maintain separate vendor relationships or switch between tools for different content types.
Ensemble Detection Architecture
Uses multiple detection models in combination rather than relying on a single classifier. This ensemble approach is designed to improve accuracy and reduce false negatives.
API Access
Enterprise customers can integrate detection directly into existing workflows, content management systems, or moderation queues via API.
Fast Results
Detection results are returned quickly, which matters when you are triaging a high volume of flagged content or working against a publishing deadline.
Who it is for.
Trust and Safety Teams
Platforms dealing with user-generated content need to flag deepfakes, synthetic audio, and AI-written text before it spreads. AI Aware consolidates that workflow into one tool instead of three or four.
Newsrooms and Fact-Checkers
Journalists verifying source material can run suspect images, audio clips, or text through AI Aware before publication. Particularly relevant for breaking news where manipulated media circulates fast.
Academic Institutions
Universities and schools checking student submissions for AI-generated text. The multi-modal angle also helps catch AI-generated images or audio submitted as original work in creative programs.
Brand Protection and Fraud Prevention
Companies monitoring for deepfake CEO videos, cloned executive voices used in phishing, or AI-generated fake reviews. Insurance companies can also use it to flag synthetic evidence in claims.
Corporate Communications
PR and comms teams verifying that circulating media attributed to their organization is authentic. Useful for catching manipulated press releases, fake executive statements, or doctored video clips.
Legal and Compliance
Legal teams that need to verify the authenticity of digital evidence. As AI-generated content becomes more common in disputes, having a detection tool in the workflow adds a layer of due diligence.
The honest part.
- No public mid-tier pricing. The gap between a free trial and "contact us for enterprise" is a real friction point. Freelancers, small newsrooms, and independent researchers have no self-serve paid option. You either use the limited free trial or commit to a sales conversation.
- False positives are a reality. AI Aware acknowledges this themselves. No detection tool is 100% accurate, and ensemble models can still misclassify heavily edited but authentic content as AI-generated. Treat results as a signal, not a verdict.
- Upload-only workflow. You need to manually upload files or paste text. There is no browser extension, no URL scanning, and no real-time monitoring feed. For teams processing high volumes, the API helps, but casual users are stuck with manual uploads.
- Arms race dynamics. AI generation models improve constantly. Detection tools are always playing catch-up. What AI Aware catches today may not cover the next generation of synthesis models. There is no public information on how frequently their detection models are updated.
- Limited transparency on accuracy benchmarks. The site claims "high accuracy" and references an ensemble architecture, but does not publish precision/recall numbers, benchmark datasets, or third-party audits. For enterprise buyers, this is a gap that should be addressed during the sales process.
- Scope is detection only. AI Aware tells you whether content is likely AI-generated. It does not tell you who made it, when, or with what tool. Attribution and provenance are separate problems that this tool does not solve.
Test it.
Upload suspect content and see what AI Aware flags. The free trial requires no setup.
Open it