QR Code Detection for media & broadcast
In the fast-moving world of visual content, QR codes are more than black-and-white boxes—they’re links, signals, metadata anchors. Our AI-powered QR Code Detection tool scans every frame of your media to detect QR codes, decode them, and return usable data.

QR code analysis
Detect, decode, and deliver with AI
The QR Code Detection model scans image and video files to automatically identify and decode machine-readable QR codes—both static and dynamic. Whether the code contains a URL, an identifier, or metadata for tracking, the model extracts it and returns the information as clean, structured output.
It works reliably even in fast-moving or low-resolution footage, allowing scalable and accurate qr code analysis across massive content libraries. The result? Less manual work, more meaningful data—and total control over what’s in your content.
Main benefits of this module
Automatically detect QR codes
Identify multiple QR codes per frame in video or image content—frame-by-frame, at scale, and with no manual input required.
Decode and extract metadata
Instantly decode QR codes to reveal embedded data like campaign URLs, IDs, or time-based triggers—enriching your media with context.
Seamless integration
Results are delivered as structured JSON, ready for integration into media workflows, CMS platforms, compliance tools, or analytics systems.
QR Code Detection module is part of our Deep Media Analyzer application. Check it out now:
What you’ll get

Multi-code detection per frame
Whether it’s a product video with several packaging elements or a broadcast overlay with multiple scannable areas, the system picks up each unique code.

Support for static and dynamic QR formats
Whether the QR code links to a permanent webpage (static) or generates a different destination per scan or timestamp (dynamic), the model handles both.

Confidence scoring
Each detected QR code includes a confidence score — a numerical value that tells you how certain the system is about the accuracy of the read.

Timestamped results for video content
Every QR code detection is tagged with the exact second it appears in the video — perfect for compliance tracking, editing, or triggering linked content at the right time.

Integration-ready JSON output for automation workflows
Detected QR code data is returned in a structured JSON format — ideal for integration into CMS platforms, compliance tools, or automated content tagging systems.
Practical Applications
QR code detection use cases
This module supports a wide range of use cases where identifying and decoding QR codes in visual content is essential for automation, compliance, and data enrichment. Whether it’s campaign tracking, metadata recovery, or content monitoring, this technology brings accuracy and scale to your visual workflows.
frequently asked questions
Have a question? We’ve got answers
What types of QR codes can be detected?
How accurate is the detection?
Can the model read multiple QR codes in one frame?
How is the QR data used downstream?
Is your service GDPR compliant?
Yes, DeepVA is fully GDPR compliant. We take data protection and privacy seriously and ensure that all personal data is processed in accordance with GDPR regulations.
How is my data handled? Does the AI learn from my data?
You have full control over your data on our AI platform, ensuring it remains secure and compliant. By default, we do not use your data to train our models, keeping it proprietary. However, you have the option to train models using your data, and in that case, it will remain exclusive to your organization.
What type of data do you store?
By default, we do not process your data beyond what is required to provide our services. If additional processing is necessary, it will only occur as outlined in your instructions or where legally required. For example, data may be transferred or processed as needed to fulfill service requirements, always in alignment with our agreements.
To learn more about how we process data and the safeguards in place, please refer to our Data Processing Agreement.