Grab Medication Name, Dosage & Directions from Any Prescription Label Photo
Manually typing details from a prescription bottle into a medication log takes 45-60 seconds per label — this reads it in 5.
5s per label · Up to 99% accuracy on printed text · For personal medication records only
What You Can Pull from a Prescription Label Photo
Name the fields for your medication records — the AI locates each by what it means, not where it sits on the curved label.
Brand or generic name. Position varies by chain — the AI identifies it as a drug identifier regardless of layout.
Numeric value and unit (e.g. "500 mg"). In small type next to the drug name — the model reads the number-unit pair semantically.
Free-form instructions like "Take 1 tablet daily" — the AI captures the full text exactly as printed.
Fill date and remaining refills in compact date format. The model recognizes date patterns and the "Refills" label to extract both.
Pharmacy name, address, phone, and the prescriber's name — the AI locates each by semantic role, not position.
Tiny Font on a Curved Bottle — Why Most Tools Fail on Prescription Labels
A prescription label is a rectangular sticker wrapped around a plastic cylinder, printed in 6-8 point type, and covered in glossy laminate. Template tools assume flat, high-contrast input — bottle labels frustrate every assumption.
Why Reading Prescription Labels Is Hard
Curved surface distorts text at the edges. A label on a round bottle creates cylindrical distortion — magnification falls off toward vertical edges. The MDPI paper on cylindrical pill bottle labels identifies this as the primary barrier for automated extraction. Traditional OCR expects flat documents.
Tiny fonts on glossy plastic with glare. Most labels use 6-8 point type — below the 12-point minimum recommended by vision research. Glossy laminate creates reflections that wash out small characters. A quick phone photo compounds both problems.
Every pharmacy chain uses a different layout. CVS places the drug name at top center. Walgreens puts it next to the logo. The AT&T Foundry "Hey Chloe" project documented label variety across chains as a core challenge. Template tools need a separate config per chain.
How Semantic Extraction Reads Through Curvature and Glare
Name the columns — AI finds values by meaning. Type Medication Name, Dosage, SIG. The model identifies each by semantic role — the large text near the top is the medication; the number-unit pair is the dosage. Curvature and layout do not matter because the model does not rely on coordinates.
One column set works across pharmacy chains. Define columns once — CVS, Walgreens, and independent pharmacy labels all land in the same spreadsheet. No per-chain configuration needed.
Visual context resolves glare and small fonts. The model reads a drug name through a glare spot because it understands that prominent text at the top of a pharmacy label is the medication identifier. Academic research confirms deep networks achieve >97% keypoint accuracy on curved bottle surfaces. As one Reddit user described, "my grandma is losing vision, and she can't read her prescription labels. She uses a magnifying glass because the labels are too small" — semantic extraction closes the gap.
From a Prescription Bottle Photo to Your Personal Medication Log in Three Steps
Photograph Your Prescription Labels
Each time you pick up a new or refilled prescription, snap a photo of the bottle label with your phone — JPG or PNG. Straight-on is ideal, but angled photos work too. Upload new and existing labels together into one batch. A straight-on photo in even light will give the best results, but the model reads through moderate glare and curvature.
Name the Fields — Medication, Dosage, SIG
Type the column names you need for your personal medication records: Medication Name, Dosage, SIG / Directions, Date Filled, Refills, Prescriber. The same column set works for every label in the batch — a new prescription from the cardiologist and a refill from the primary care doctor both use the same definitions. You do not create per-pharmacy templates.
Download a Single Medication Log Spreadsheet
Processing takes about 5 seconds per label. The output is one XLSX file: each row is one prescription label, each column is one field you named. A newly filled blood pressure medication in row 1, the thyroid medication refill in row 2, an antibiotic from last month in row 3 — all in one table. Roughly 10x faster than opening each photo and typing the details by hand (~45-60s manual per label vs ~5s here).
When It Works Best — and When to Be Cautious
Designed for personal medication record-keeping from your own prescription labels.
When It Works Best
Straight-on photos in even light. Up to 99% accuracy on printed medication name, dosage, and date from any chain pharmacy.
Standard pharmacy fonts. Clean sans-serif type at any size — the model reads through curvature regardless of point size.
Mixed pharmacy labels in one batch. CVS, Walgreens, and independent pharmacies — same column set, one spreadsheet.
Personal medication logs. Building a complete record of your own prescriptions — name, dosage, frequency, dates — in one searchable file.
When to Be Cautious
Extreme angles or heavy glare. An end-on bottle or harsh reflections reduce accuracy. Photograph labels straight-on in even light.
Your own labels only. Designed for extracting information from prescription labels you personally own. Do not upload other people's labels. The AI extracts visible text — it does not interpret clinical meaning, verify interactions, or replace medical advice.
Visible data only, no enrichment. The tool extracts label text. It does not validate against formularies or cross-reference medical records. Verification with your pharmacist remains your responsibility.
Frequently Asked Questions
Can the AI read Medication Name and Dosage from a curved bottle photographed at an angle?
Yes. The visual model reads text through cylindrical curvature by understanding what each field means — a medication name is always the drug identifier regardless of whether it appears at the top center of a CVS label or next to the logo on an independent pharmacy label. A straight-on, well-lit photo yields up to 99% accuracy on printed text. Angled photos reduce accuracy compared to straight-on shots, but the model still outperforms traditional OCR — which often loses 30-40% accuracy on curved surfaces because it assumes flat character alignment. The 5-second processing time stays the same regardless of photo quality.
Will the AI handle free-text SIG instructions like "Take 1 tablet daily for 14 days"?
Yes. The SIG / Directions field captures the full instruction text as written on the label, including dosage timing, route, duration, and PRN conditions. The directions for use on a prescription come directly from the prescriber in free-form text — there is no universal format. The AI reads the instruction block as a complete text field, preserving the exact wording so you have an accurate record of what the label said. If you need specific elements extracted separately, define additional columns like Quantity, Duration, and Route and the AI will parse them from the instruction context.
Can I batch prescription labels with other photo-document types in the same batch?
Yes. Define one column set covering all fields — Medication Name, Dosage, Name, Phone — and the AI reads each photo independently. A prescription contributes Medication Name; a business card contributes Name, leaving medication fields empty. Template tools need separate configs per type — Custom Column Extraction handles mixed types from one definition.
What about handwritten prescription pads — can the AI extract those?
Handwritten prescription pads are a different document type from printed pharmacy bottle labels. The visual model can read reasonably legible handwriting, but as a 2023 systematic review in the Annals of Medicine & Surgery notes, handwritten prescriptions contain errors in 35.7% of cases — and a misread drug name or dosage has clinical consequences. For printed pharmacy labels, which are machine-generated and use clean fonts, accuracy is up to 99%. For handwritten prescriptions, treat the extraction as a starting point and verify every field. This tool is intended for organizing your own medication records, not for clinical decision-making.
Can I export my medication log and share it with my doctor or caregiver?
Yes. The tool exports a clean XLSX file — one row per prescription label, columns for the fields you named. You can share that spreadsheet with your physician, pharmacist, or family caregiver as a reference for medication reconciliation. The export contains only the text that appeared on your labels; it does not add clinical interpretation. For comprehensive medication management, always maintain your official medication list as confirmed by your healthcare provider and pharmacist.
Deep dives into prescription label extraction: Prescription drug dosage and NDC extraction — how AI reads 50-second pharmacy workflows in 5 seconds · The paper prescription burden — 2 billion manually typed prescriptions and the cost of manual data entry · Prescription extraction accuracy analysis for medication safety — what AI gets right and where human verification remains essential
Browse all photo-document capture scenarios on the Photo Documents hub page — business cards, shipping labels, meter readings, and more.