How Carrot Care Turns Lab Results into Biomarker Trends

Updated

Carrot Care is an iPhone app that takes blood test results from any lab and converts them into organized biomarker trends. You upload a photo or PDF of your lab report, the app uses OCR to extract the values, sorts them across 1,000+ biomarkers, and then shows your progress over time through trends, insights, and reminders. It fits best if you get bloodwork done periodically — from one lab or several — and want a single place to see how each marker moves.

The three-step workflow

Carrot Care describes its process in three stages, and understanding them helps you know what to expect at each point.

1. Upload your results

You provide your blood test results from any lab. The app supports:

  • Photos of printed lab reports
  • PDFs from lab portals or email
  • OCR technology that extracts the data automatically

The input is your raw lab document; the expected result is structured numeric data inside the app rather than a static file.

2. The system organizes and analyzes

Once uploaded, Carrot Care automatically organizes values across 1,000+ biomarkers and analyzes your health patterns to produce personalized insights. This is the step that turns a one-off lab sheet into something comparable — the same marker (for example, insulin, ferritin, or vitamin D) gets placed consistently so it can be tracked.

3. Track your progress

The app then presents your data as trends, insights, and smart reminders, so you can monitor your health journey over time and make informed decisions. Historical data is supported, which is what makes trend lines possible rather than single snapshots.

What the output actually looks like

The app displays individual biomarker values with their units — for example, insulin in pmol/L, ferritin in mcg/dL, vitamin D in ng/mL, glucose in mmol/L. Because historical data is supported, each of these can be viewed as a series over time rather than an isolated number.

Stage Your input What Carrot Care produces
Upload Photo or PDF of lab results Extracted numeric values via OCR
Organize Raw values Values sorted into 1,000+ biomarker categories
Analyze Sorted values Personalized insights on health patterns
Track Accumulated results Trends, insights, smart reminders over time

Accuracy and manual checking

OCR is not perfect, and the app's own users say so. One reviewer (Brian, United States) rates the app 4.0 and notes that the AI reading lab reports "isn't perfect, but it gets 95% of the results correct," adding that manual cross-checking and adjusting of units are required on occasion.

Practical implication: after uploading, review the extracted values against your original report, especially units. If a value looks wrong or a unit seems off, correct it manually before relying on the trend. This is a normal part of the workflow, not a failure of the process.

Consolidating results from multiple labs

A recurring reason users choose Carrot Care is consolidation. One reviewer (BibiH, United States) highlights "being able to compile all your test results and getting the complete picture of your health, based on current studies." Another (Smurf, United States) contrasts it with Apple Health, which they found "far too restrictive around adding and amending data" — noting that a slight difference in spelling or terminology could break the whole thing.

This matters for the trend workflow: if you use different labs over time, marker names and units may vary. Carrot Care's automatic categorization is what allows those results to land in the same place so a trend can form. Where naming or units differ, expect to verify and adjust manually.

Where to start

  1. Gather a recent lab report as a photo or PDF.
  2. Upload it and let OCR extract the values.
  3. Cross-check the extracted numbers and units against the original.
  4. Add older reports if you have them — historical data is supported, and trends need more than one data point.
  5. Review the trends and insights, and set up the smart reminders.

The app has a 4.5/5 App Store rating and 1,000+ biomarkers, per the site. Note that user reviews mention the support team is small, so responses may take time — one reviewer explicitly advises patience.