Research Tool

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 fit

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 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