Steg.AI protects sensitive content with forensic watermarking, enabling companies to instantly trace leaked images, videos, and documents back to their source. Our deep learning technology embeds imperceptible, tamper-resistant watermarks that survive compression, cropping, and screen recording, delivering reliable attribution, content provenance for authenticity verification, and AI content labeling for regulatory compliance. Built for flexibility and scale, Steg.AI protects millions of assets across global workflows.
Steg.AI is a forensic watermarking platform that helps companies protect their most valuable creative assets from leaks and misuse. Built on patented deep learning technology, Steg.AI embeds imperceptible identifiers directly into images, videos, and documents. These watermarks are tamper-resistant and survive common transformations, including cropping, compression, screenshots, and even screen-to-camera capture, ensuring that even a single leaked frame can be traced back to its source with high confidence. Companies rely on Steg.AI across three core use cases. Leak protection is the most common, enabling companies in media and entertainment, toys, consumer electronics, and automotive to trace leaked assets back to their source and protect content until they are ready for disclosure. Content provenance establishes authenticity and verifiable ownership attribution, even when assets have been manipulated. And AI content labeling helps organizations meet emerging content regulation requirements. Together, these capabilities give organizations stronger control over their intellectual property and brand integrity. Steg.AI integrates seamlessly into content workflows. For quick adoption, it can be used through a secure web portal at app.steg.ai with an SSO-enabled login, letting teams watermark files on demand without any complex integrations. For more technical deployments, Steg.AI offers an API and on-prem options that allow developers to embed watermarking directly into content pipelines. This flexibility makes it possible to integrate with DAM and MAM systems, cloud storage solutions, and transcoders.
Highlights
Leak Protection: Trace leaked images, videos, and documents back to their source with imperceptible, tamper-resistant forensic watermarks. Steg.AI's deep learning technology survives cropping, compression, screenshots, and screen-to-camera capture, so even a single leaked frame can be attributed with high confidence, protecting sensitive content until you are ready for disclosure.
Content Provenance: Establish authenticity and verifiable ownership attribution for your creative assets. Steg.AI embeds durable identifiers that persist even when content has been manipulated or transformed, giving organizations a reliable way to prove origin and protect brand integrity across global content workflows.
AI Content Labeling: Meet emerging content regulation requirements by embedding imperceptible, persistent labels that identify AI-generated and AI-modified content. Steg.AI helps organizations stay ahead of evolving compliance standards while maintaining the visual quality of their images, videos, and documents.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Base Plan (4000 watermarks/mo or 48,000 watermarks/yr)
Pricing is based on usage in the form of tokens. One token equals one image, one document, or one second of video. Each contract entitles you to a specified quantity of tokens for the contract duration. If you choose not to renew or replace your contract before it ends, access to the platform and any remaining quantities will expire. Multi-year discounts are available for terms up to three years.
This listing offers one Base Plan billed as a contract. You pay for a set quantity of tokens, where one token equals one image, one document, or one second of video. The plan entitles you to 4,000 watermarks per month or 48,000 watermarks per year for the contract term. Pricing scales with the token quantity you commit to. Multi-year contracts qualify for discounts on terms up to three years. Unused quantities and platform access expire if you do not renew or replace the contract before it ends.
Top-of-mind questions for buyers
What counts as one token for billing?
One token equals one image, one document, or one second of video. A 30-second video consumes 30 tokens. Each image or document consumes one token. Your contract entitles you to a set quantity of tokens for the term, so total usage across all three media types draws from the same pool.
What happens if I use up my token quantity before the contract ends?
Your contract entitles you to a fixed number of tokens for the term. Once you reach that limit, you would need to add more capacity. Any tokens left unused at the end expire if you do not renew or replace the contract before it ends.
What content types and file formats can I watermark with my tokens?
You can watermark images, videos, and documents. Supported formats include common image types, video containers, and document formats like slide decks and text documents. Both invisible forensic watermarks and visible burn-in watermarks are available. Each item watermarked draws tokens based on its type and, for video, its length in seconds.
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SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Steg.AI provides dedicated support to ensure customers get the most out of our forensic watermarking platform. Customers can reach our support team by email and Slack. We maintain a response time SLA of three business days, and our team is available from 8:00 AM to 8:00 PM EST, Monday through Friday. For self-service help, comprehensive product documentation, including integration guides and API references, is available at steg.ai/docs. For support inquiries, please contact us at help@steg.ai or fill out the form here https://steg.ai/contact/ and we will be happy to assist.
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