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The ability to detect AI-generated images, videos and audio have become critical capabilities for maintaining trust and authenticity in today’s digital landscape.
Bynn offers an advanced all-in-one solution that automatically spots AI-generated media at scale – no watermarks or metadata required. Our AI-driven detectors empower your business to catch manipulated or computer-generated media in real time, helping prevent fraud, misinformation, and abuse before they can damage your platform or reputation.
The rapid advancement of artificial intelligence has ushered in a new era of content creation, where AI-generated images, audio, and videos are becoming increasingly common across the digital world.
From creative projects and marketing campaigns to educational resources and entertainment, AI-generated content is reshaping how we produce and consume media.
However, this technological leap also brings significant risks. The same tools that enable innovation can be exploited for malicious purposes, such as spreading misinformation, committing identity theft, or orchestrating sophisticated scams. As AI-generated content becomes more realistic and accessible, the challenge of distinguishing genuine material from computer-generated fakes grows. Understanding these risks is the first step toward building a safer digital environment, where users, businesses, and platforms can trust the authenticity of the images, audio, and videos they encounter.
AI-Generated Image Detection
Bynn’s AI image detector analyzes images at the pixel level to determine if they were created or altered by generative models. As an advanced AI image checker, Bynn verifies the authenticity and integrity of images across various applications, including academic, artistic, and general content verification.
It can flag AI-generated pictures without any embedded tags, meaning even if an image’s metadata has been wiped or it lacks an obvious watermark, subtle telltale patterns in the pixels will give away its synthetic origin. This enables you to trust that photos on your service are authentic and not AI fakes trying to mislead your users. Bynn’s tools detect ai generated images by analyzing visual patterns and comparing them to databases of real and fake images, ensuring robust verification of content authenticity.
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Mis- & Disinformation
Detect and block AI-generated images being used to spread false news or hoaxes. Deepfake photos can easily mislead audiences, but Bynn helps ensure media on your platform remains truthful.
Insurance Claims
Identify faked incident photos used in fraudulent insurance claims, including fake insurance claims where fabricated images are submitted to deceive insurance companies. For example, Bynn can catch when someone submits an AI-generated image of damage or disaster to collect an illicit payout.
Fake Profiles
Stop scammers from using AI-generated profile pictures on social networks and dating apps. Our detector spots when a profile photo isn’t a real person, preventing catfishing and impersonation scams.
Fake IDs and Documents
By-pass attempts to trick KYC/AML checks with doctored ID images. Bynn’s tool recognizes when ID photos or document scans have been synthesized or digitally altered, thwarting identity fraud during onboarding.
Marketplace Spam
Prevent vendors from flooding your e-commerce or listing site with auto-generated product images. Bynn flags AI-created images that spammers use to generate endless variations of listings, emphasizing the importance of verifying real images to maintain trust in e-commerce.
Fake Evidence
Expose fraudulent evidence such as AI-generated accident or crime scene photos submitted in legal disputes or reports. This protects your organization from being misled by fabricated photo proof.
Impersonation
Catch instances where bad actors use AI to portray someone without consent – for example, inserting a public figure’s face into an image. Bynn helps ensure no one can pass off an AI-made image as real presence or endorsement.
Nudification
Detect “deepfake” explicit images in which someone’s clothing is digitally removed or their likeness is pasted into adult content without consent. Our model recognizes these abusive AI-generated images used for harassment or blackmail.
Unmatched accuracy
Bynn’s image detection delivers best-in-class precision. You can test your own detection skills with available online resources and see how Bynn’s technology compares. However, the complexity of images—such as their quality, resolution, and post-processing—can impact the accuracy and limitations of detection tools, with higher complexity sometimes reducing performance. Bynn builds on these cutting-edge techniques to offer you a leading solution for AI-generated media detection. You can trust our model to catch even subtle AI manipulations that would fool the naked eye. The detection process involves advanced image processing steps to analyze and confirm whether an image is AI-created or has undergone specific editing.
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Detecting AI Images Across Popular Generators
Our automated image detector is trained on a broad spectrum of content from today’s most popular image generation systems. It can recognize AI-created pictures from a variety of different AI image creation services and models. Because the detection is based purely on the image’s pixel patterns, it works even when technical metadata has been stripped out and no generator watermark is present. (Watermarks and metadata are not always included in AI images, and many social platforms automatically remove metadata on upload.) Bynn’s approach ensures that no matter the source of an AI image, we can analyze its provenance and authenticity with high confidence.
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AI-Generated Video Detection
Our AI video detector automatically analyzes video frames to determine if a video was synthesized by an AI model or manipulated (frame-by-frame) via deepfake techniques. Like our AI image detection tool, Bynns AI Video Detector does not rely on watermarks or metadata, instead examining visual details and temporal inconsistencies that reveal computer-generated content. This allows you to intercept deceptive videos before they can spread or be used maliciously.
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Deepfake Misinformation
Identify AI-altered or wholly fabricated videos used to spread false information or propaganda. Whether it’s a fake news clip or a bogus “statement” by a public figure created through lip-sync deepfake, Bynn will flag it so you can prevent harmful misdirection.
Fraudulent Verifications
Mitigate the number of attempts to bypass video-based identity checks with deepfakes. For instance, if someone submits a “livestream” selfie video that is actually an AI-driven impersonation (using another person’s face), Bynn’s detector can recognize the deepfake and trigger a security alert.
Fake Video Evidence
Uncover doctored or AI-generated video evidence before it’s accepted as truth. From phony surveillance footage to staged accident videos for insurance fraud, our technology spots unnatural artifacts that indicate a video has been generated or tampered with artificially.
Impersonation
Catch video deepfakes where one person’s face is swapped with another’s. These can be used to mislead viewers (e.g., a deepfake of a CEO giving a fake announcement). Bynn ensures such impersonation videos are identified and dealt with swiftly.
Deepfaked Adult Content
Detect non-consensual explicit videos (nudified or pornographic deepfakes). Sadly, AI is often misused to superimpose someone’s likeness into adult content without consent. Our video model recognizes signs of these AI-generated abusive videos, helping protect individuals from defamation or harassment.
AI Video Spam
Filter out waves of AI-generated video content that bad actors might upload all at once. Whether it’s algorithm-gaming spam videos or bot-generated media floods, Bynn can distinguish genuine videos from auto-generated ones, keeping your platform’s content quality high.
Beyond the standard categories of nudity or profanity, Bynn provides a suite of advanced detection features to tackle emerging threats and nuanced scenarios. Our platform goes the extra mile to keep your community clean and secure. Bynn’s advanced detection features are informed by academic research in content moderation and online safety, ensuring our solutions are grounded in the latest scholarly analyses and best practices:
Beyond the standard categories of nudity or profanity, Bynn provides a suite of advanced detection features to tackle emerging threats and nuanced scenarios. Our platform goes the extra mile to keep your community clean and secure. Bynn’s advanced detection features are informed by academic research in content moderation and online safety, ensuring our solutions are grounded in the latest scholarly analyses and best practices:
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AI-Generated Audio Detection
Not only visuals – Bynn also tackles AI-generated audio, including synthetic music and AI-cloned speech. Our AI audio detector automatically flags tracks or recordings that were machine-made. It examines the acoustic features of an audio file to determine if it’s human-produced or the product of AI, without needing any watermark or metadata in the file. Detecting deepfake audio presents significant challenges due to the ongoing arms race between AI-generated deepfake voice creation and detection technologies, with current methods often struggling to reliably authenticate audio content in real-world scenarios. This capability is valuable for a variety of applications, from content platforms to security systems.
Built for recommendation systems, content tagging, rights management, and fraud prevention… Using Bynn’s audio detection, you can programmatically handle AI-made audio in several ways:
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Tagging
Automatically label and categorize audio files based on whether they are human-performed or AI-generated. This simplifies content management – for example, a music streaming service can tag AI-composed songs in its library, or a media site can label synthetic podcast segments, making it easier to curate or apply special policies to them. Distinguishing between real and AI-generated voices is crucial, especially given the risks of voice cloning and the potential for malicious impersonation.
Recommendation
Ensure your recommendation engines consider authenticity. By knowing which tracks are AI-generated, you can refine your algorithms to deliver more personalized and authentic listening experiences. (For instance, a user might prefer genuine artist-created music – you can avoid overly recommending AI music unless it’s desired.)
Copyright Management
Identify AI-generated music so that you can handle rights and attributions properly. In some cases, AI-generated music might have unclear copyright status – detecting it helps protect rights holders and ensures correct attribution or usage restrictions are applied.
Fraud Prevention
Catch audio deepfakes and voice cloning attempts that could be used in scams. Bynn’s detector can flag when an audio recording (like a voicemail, phone call, or voice note) has the acoustic fingerprints of AI generation – for example, if fraudsters use an AI-cloned voice to impersonate an executive or family member, you’ll know in advance and can prevent social engineering attacks.
On the technical side, Bynn’s detection models are trained and tested using large datasets of real and fake audio samples, including a variety of fake audios, to improve accuracy. These models analyze subtle differences in audio features—such as frequency patterns and physical vocal traits—to distinguish authentic voices from synthetic ones. Ongoing training with diverse datasets is essential to ensure the models stay ahead of new deepfake audio generation techniques and continue to reliably identify manipulated content.
Works Across Music & Voice Generators
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Our AI-generated audio detection is trained on a wide array of AI music and voice models. It can recognize content produced by popular generative tools that are used by people to make music, clone another persons voice and more. By analyzing the raw sound waves and spectral features rather than relying on metadata, the system works even when audio files have been stripped of identifying tags and contain no audible watermarks. (It’s common for platforms to remove metadata from uploaded audio, just as with images.) Whether it’s a fully AI-composed song or a synthetic voice recording, Bynn evaluates the authenticity of tracks with a high degree of confidence.
And just like our image and video tools, the audio detector is accessible via API for seamless large-scale use. Developers can integrate Bynn’s audio checking into moderation pipelines or content management systems to automatically screen thousands of audio uploads for AI-origin.
Seamless Integration and User-Friendly Dashboard
Bynn makes AI-generated content detection easy to use whether you’re examining a few files or millions. Our solution is available through a user-friendly dashboard as well as a robust API:
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Instant Analysis
Use Bynn’s web interface for quick checks – simply drag and drop an image, video, or audio file to get an instant, detailed analysis of its authenticity. This is perfect for occasional use, demos, or generating reports that you can screenshot and share.
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Developer-Friendly API
For large-scale needs, integrate our detection engine directly into your app or workflow. Our REST API is designed by developers for developers – it’s straightforward and well-documented, so you can automate checks on every upload or piece of user-generated content in your platform. Whether you need to scan dozens of files or millions per month, Bynn can scale to meet your volume.
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Privacy & Speed
All content analysis is automated with no human reviewers in the loop, so your users’ data stays confidential. Each piece of media is processed temporarily for analysis and not stored afterward – the process ensures your files are handled only for the duration needed to determine authenticity. This means you get fast results while keeping sensitive content private, just as your users expect.
Super-Human Accuracy for Peace of Mind
Even trained humans struggle to detect today’s AI-generated content on sight. In fact, a recent study found that people can only distinguish AI-generated content from real content about 51% of the time – barely better than a random guess. That means relying on manual review or user judgment isn’t enough. In these cases, fact checkers play a critical role in verifying suspicious content and supporting detection efforts when technology alone is not sufficient. Bynn’s detectors are specifically trained to spot the subtle artifacts and patterns that betray AI-generated media, achieving a level of accuracy and consistency that far exceeds human abilities. By deploying these AI models, you add a powerful layer of defense against synthetic fraud and deception. Your team and community won’t be left guessing – they’ll know with confidence whether a piece of content is genuine or artificially produced.
Part of Bynn’s Comprehensive Trust & Safety Suite
By integrating Bynn into your workflows, you gain a 360° shield against fake or manipulated information. Every image, video, audio clip, and document can be automatically vetted for authenticity and compliance. Our mission is to help your organization stay one step ahead of fraudsters and bad actors who exploit generative AI. With Bynn’s suite on your side, you’ll uphold trust and transparency in every user interaction.
