Verified across 250K NIH & FDA drug records

Identify any pill
in seconds.

Search by imprint, NDC barcode, or physical description — matched against current FDA structured labeling. Photo-Assisted Pill Search reads a photo to fill in those fields; the database, not the photo, decides what a pill is.

250K+ Drug Entries

NIH/FDA Data Sources

GPT-4o Vision AI

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Trusted data sources

Every result is sourced from authoritative federal and medical databases.

National Institutes of Health

C3PI pill images and DailyMed drug labeling

Food & Drug Administration

NDC directory, drug labels, and safety data

RxNorm (NLM)

Drug name normalization and clinical vocabularies

GPT-4o Vision

AI-powered image analysis for pill identification

Medical Disclaimer

RXID.ai provides drug information for educational purposes only. This is not medical advice. Always consult your healthcare provider before taking any medication. AI pill identification is informational only. Verify all medications with your pharmacist. For emergencies, call 911.

Frequently Asked Questions

RXID uses multiple data sources to identify medications. You can search by drug name, upload a photo for AI-powered visual identification using GPT-4o, scan a pharmacy barcode, or search by physical attributes like color, shape, and imprint code. We cross-reference NIH pill image databases (C3PI and DailyMed), the FDA National Drug Code Directory, RxNorm for standardized naming, and openFDA for safety and recall data. No single source catches everything, so we layer them.

No. RXID is an informational tool that helps you narrow down what a pill might be. It is not a diagnostic service and cannot confirm with certainty what you are holding. If you have any doubt about a medication, if the AI confidence is low, or if you suspect a dispensing error, talk to your pharmacist. They can verify using lot numbers and dispensing records that no app has access to. For emergencies or suspected poisoning, call Poison Control at 1-800-222-1222.

The AI visual identification uses GPT-4o, which is strong at reading imprint codes and matching pill characteristics. Accuracy depends heavily on image quality. A well-lit, in-focus photo of a single pill on a plain background gives the best results. Blurry photos, multiple pills, or unusual lighting reduce accuracy. We always show confidence levels and recommend cross-checking with the text search or imprint lookup for confirmation. The text-based searches against FDA and NIH databases are deterministic and highly reliable.

Identify any pill
in seconds.