ID card detection: Datasets & Models
Detect and localize ID cards within images and document scans using object detection. Useful for pinpointing card boundaries before running OCR or verification steps.
ID card detection
This object detection workflow locates ID cards within images, photos, and scanned documents, returning bounding box coordinates for each card it finds. Trained on an id card dataset, it detects identity documents such as national ID cards, driver's licenses, and passport pages, giving you card boundaries you can crop before running OCR or verification steps.
Try it out
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Why automate id card detection
Manually locating and cropping ID cards from a stream of uploaded documents is slow, inconsistent, and does not scale for onboarding, KYC, or records-digitization pipelines. Automating detection with computer vision means the card is reliably found and isolated before text extraction, reducing OCR errors caused by background noise and misaligned crops. For Document AI and OCR teams, this front-end detection step is the difference between a brittle process and a robust, high-throughput pipeline.
Key benefits
Training on a purpose-built ID card dataset lets you deploy a detector that works across card types, orientations, and capture devices, then feed clean crops into your extraction stack. RF-DETR delivers accurate localization that integrates with existing camera and upload infrastructure, and the approach scales from a handful of documents to large batch-processing workloads.
How to use it
- Upload an image: Drop any photo into the widget above to try id card detection for free, right on this page.
- Preview instant results: The model detects id card, driver license, passport, national id card within seconds and returns an annotated image with structured predictions, so you can immediately see how well it works. Adjust the detection classes and re-run until the results fit your scenario.
- Like what you see?: With a free Roboflow account, you can deploy this workflow with the Serverless Cloud API, customize it in your workspace, or train RF-DETR on your own images for production accuracy.
- Get started for free: No code or training data required to begin: upload, review the results, and make it part of your stack in a single click.
Recommended model for id card detection
RF-DETR is state of the art for real-time object detection, instance segmentation, and keypoint detection, with higher accuracy and lower latency than comparable models, and it's Apache 2.0 licensed. When you're ready to build a production model for id card detection, fine-tune it on your own labeled images, then deploy to a Serverless Cloud API endpoint.
Not sure where to start?
Describe your ID Card Detection project to Roboflow Agent.