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Calibration Curve Generator for standard curves

Free calibration curve generator. Paste standard concentrations and signals to fit a line, read unknowns, and download SVG.

Paste concentration and signalLinear or quadratic OLS fitInterpolate unknown samplesDownload a watermark-free SVG — free

Paste standard concentrations and signals — fits a line, reads unknowns, downloads SVG, free

Standards

Paste concentration, then signal. This is an analytical standard curve. It is not a titration, a residual plot, or ML probability calibration.

6 standards parsed

Calibration curve y = 0.021 + 0.093x R² = 0.9999 · n = 6 0246810.0 00.200.400.600.801 Concentration Absorbance

n=6 · y = 0.021 + 0.093x · R²=0.9999 · unknowns: 0.45→4.622, 0.7→7.319, 0.88→9.260. This page does not report LOD/LOQ or weighted least squares.

Calibration Curve Generator

Describe your calibration curve
0 / 20,000 characters

Free to try ·

Preview

Your AI calibration-curve illustration will appear here

For a data-accurate plot from standards, use the Precise Plot tab instead

Calibration Curve Examples

The first four are exact engine renders from tables. The last two are AI illustrations of Illustration mode.

View:

Beer’s law

Exact engine render — pasted standards, linear fit, unknown signals marked.

calibrationabsorbancebeer

HPLC peak area

Exact engine render — peak area versus concentration.

hplcstandard-curve

Fluorescence

Exact engine render — intensity versus nM standards.

fluorescencecalibration

Quadratic range

Exact engine render — quadratic fit through six standards.

quadraticnonlinear

AI illustration — Beer’s law

AI illustration of Illustration mode — visual mockup, not plotted from standards.

aiillustration

AI illustration — teaching

AI illustration of Illustration mode — visual mockup, not a fitted assay.

aiillustrationteaching

What is a calibration curve?

An analytical calibration curve — also called a standard curve — plots instrument signal against known concentrations, then fits a line (or a shallow quadratic) so you can read unknown samples. Spectrophotometry uses absorbance; chromatography uses peak area; fluorescence uses intensity. This page draws that figure from standards you already measured. It does not run weighted least squares, report LOD/LOQ, or draw a machine-learning reliability diagram of predicted probabilities.

How to read the fit and the unknowns

  • Paste concentration in the first column and signal in the second. Linear mode is ordinary least squares: y = a + bx. Quadratic mode adds a cx² term when the assay bends at high concentration. Unknown signals, one per line, are inverted through the same equation and marked on the plot.
  • A residual plot is the leftover y − ŷ against fitted values — use it to check the fit, not to report concentration. A titration curve is pH versus titrant volume. A solubility curve is grams of salt versus temperature.

Calibration curve versus a residual plot or titration

Use this page when you have standards and need the working curve plus inverse predictions. Use the residual plot generator to inspect whether a straight line is honest. Use the titration curve generator for acid–base pH jumps. Standard curve is a synonym and is absorbed here, not a second page.

Export

Download a scalable SVG with no watermark and no account required for the precise plot. The AI Illustration tab is only for slides when you do not have standards yet — it will not match your assay.

Frequently Asked Questions

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