Pull MyChart Lab Results from Screenshots — Reference Ranges, Flags, and All
Manually typing each lab result from a patient portal screenshot into a spreadsheet takes 2-3 minutes per test panel — this extracts all visible fields in about 5 seconds per screenshot.
5s per screenshot · Up to 99% accuracy on clear portal screenshots
What You Can Pull from a MyChart Lab Results Screenshot
With Custom Column Extraction, each element of MyChart's result rows becomes its own column — including the small-print fields most tools skip.
The biomarker label — "Glucose," "Hemoglobin A1c," "TSH." The AI identifies it by its label regardless of abbreviations.
The numeric or qualitative result — "98," "No growth," "Reactive." Numerical and textual results alike routed to the same column.
The normal range — "65-99 mg/dL." MyChart renders this in muted text below the result. The AI reads it as a separate field.
The indicator in a narrow column with smaller font weight. Extracted as its own column so you can filter by flagged results.
The measurement unit — "mg/dL," "mmol/L." Different labs may report the same test in different units. The AI captures both.
The date the test was performed. The AI reads it from the screenshot context and associates it with each row.
MyChart Shows You the Results — But the Most Important Details Are the Hardest to Extract
A lab result screenshot has the data you need. But the two fields that matter most clinically — the reference range and the flag — are rendered in the smallest, lightest text on the screen. Traditional OCR reads the obvious numbers; semantic extraction reads the context that makes them meaningful.
Why Lab Result Screenshots Break Traditional Extraction
Reference range text is intentionally muted. MyChart shows the reference range in a lighter, smaller font beneath each result value. Traditional OCR, optimized for the largest text on the page, skips it. Reddit users note that "different labs use different units or reference ranges" — without the range, the value alone is meaningless.
The flag column is visually narrow and easy to miss. MyChart places the H/L/Critical flag in a compact column with smaller font weight. Standard OCR often merges the flag into the result cell ("185 H" as a single string) or misses it entirely. A "High" flag is the data a clinician checks first.
Same test, different lab — different reference range. Quest and Labcorp ranges for the same biomarker can differ by 5-15%. A glucose result of 98 mg/dL is "normal" at Quest (range 65-99) but flagged as "High" at a lab using 70-95. Users consistently report "trying to track trends across blood test reports from different testing labs drove me nuts."
How Semantic Extraction Reads the Full Clinical Picture
Name the columns — AI finds the value, range, and flag by meaning. Type "Test Name, Result, Reference Range, Flag, Unit." The AI reads the large result value, the muted reference range, and the narrow flag column — all from one screenshot. The model understands that "65-99 mg/dL" next to Glucose is a reference range, and a red "H" is a flag, not part of the value.
Batch screenshots from Quest, Labcorp, and hospital labs together. Define one column set. A Quest screenshot showing "Glucose 98" with range "65-99" and a Labcorp screenshot with the same test but range "70-100" — the AI applies the same column names to both layouts.
Works from the screenshot — no account access needed. Whether you screenshot your own MyChart results or a family member shares their portal screen, extraction is identical. No need to log into the patient portal or request a PDF download.
From a MyChart Screenshot to a Trackable Lab Log in Three Steps
Screenshot Your MyChart Results
Open your MyChart app or patient portal and navigate to the Test Results section. Take a screenshot of the results panel — the full visible list of tests, their values, reference ranges, and flags. If the results span multiple screens, capture each section. Do the same for any older results you want to compare. Upload them all at once — JPG, PNG, or WebP.
Name the Columns You Need
Type the column names: Test Name, Result, Reference Range, Flag, Unit, Date. The AI processes each screenshot independently. It reads "Glucose" as the Test Name, "98" as the Result, "65-99 mg/dL" as the Reference Range — even if that range is in smaller, lighter text. The "H" or "L" flag next to any out-of-range result becomes its own column.
Download a Consolidated Lab History
Processing takes about 5 seconds per screenshot. The output is one XLSX or CSV file: each row is one test result from one screenshot, with columns for every field you named. Results from this year's Quest panel and last year's Labcorp panel sit in the same table, each with its own reference range. About 30x faster than typing each value by hand (~2-3 min manual per panel vs ~5s here).
When It Works Best — and When to Be Cautious
Understanding these boundaries helps you get consistent results.
When It Works Best
Clear, full-resolution screenshots of portal result pages. Machine-rendered text achieves up to 99% accuracy. The structured row layout maps naturally to named columns.
Cross-lab batch with the same test across different portals. One column set handles Quest, Labcorp, and hospital lab screenshots. The AI identifies each field by meaning, not position.
Numeric results with reference ranges and flags. The AI reads the result, the muted reference range text, and the H/L/Critical flag as separate columns.
When to Be Cautious
Heavily compressed or forwarded screenshots. Lab results shared through messaging apps lose resolution, reducing accuracy on the small reference range text and flag column.
Textual interpretations mixed with numerical results. Microbiology cultures ("No growth") and serology ("Reactive") are extracted as text values. The AI reads them correctly but does not interpret clinical meaning.
Visible data only — no clinical interpretation or diagnosis. The tool extracts what is displayed. It does not flag abnormal values, interpret trends, or replace medical advice.
Frequently Asked Questions
Can I extract the Reference Range for each lab result, or just the numeric value?
Both the result value and the reference range are extracted as separate fields. MyChart displays the reference range in smaller, muted text below each result. The AI reads it as a distinct field — so you see both "Glucose: 98 mg/dL" and its reference range "65-99 mg/dL." This is critical when comparing results from different lab providers, since the same glucose value may be "normal" at Quest but flagged at Labcorp depending on their respective ranges.
How does the AI handle the Flag column (H/L/Critical) when it is in smaller text?
The flag icon or text — typically a red "H" for high, a blue "L" for low, or a "Critical" label — is treated as a separate column. Even though MyChart renders these flags in a smaller, lighter font than the result value, the semantic model identifies them by their relationship to the test result. If a screenshot shows "Cholesterol 240 H", the AI extracts 240 as the Result and "H" as the Flag — two columns, not one concatenated string.
Can I batch screenshots from Labcorp's portal and Quest's portal in the same run?
Yes. Define columns like Test Name, Result, Reference Range, Flag, Unit, Date — one set that works across both lab portals. Labcorp and Quest may display the same test in different column orders, but the AI identifies each field by its meaning rather than its position. The output is a single spreadsheet with results from both providers, making it possible to track values flagged by one lab against the other's reference range.
What if a test result says "No growth" or "See comment" instead of a number?
The AI reads textual results the same way it reads numeric ones. A microbiology result of "No growth" or a serology result of "Reactive" is captured in the Result column as text. If the result includes a provider comment ("See comment"), the AI extracts the main result text. For full context, you can add a Notes column to capture the provider's comment separately. The tool extracts visible text only; it does not interpret clinical meaning.
Can I extract the Result even if the screenshot was taken in portrait mode and the reference range is cut off?
The AI reads whatever is visible in the screenshot. If the reference range is partially cut off at the edge of the frame, the main result value and test name are still captured. For best results, take screenshots in landscape mode or scroll to ensure the full row — test name, result, reference range, and flag — is visible in a single frame. If the range is missing, the Reference Range column will be empty for that row, and you can add it manually.
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Deep dives into screenshot-based data extraction: Batch processing health app screenshots into a single structured spreadsheet · General guide to extracting data from screenshots including app UIs, dashboards, and patient portals