Create publication-ready Bode plots from frequency-response measurements.
Upload positive frequency values with magnitude and optional phase data, describe cutoffs or traces, then generate a clean AI-made Bode plot with manuscript-ready PNG output.
Upload data and describe the AI chart you need.
Costs 5 credits. Uses your uploaded data and prompt to generate a publication-ready PNG.
Preview
Aspect ratio: 16:9
These are sample previews. Upload your dataset to generate your own Bode plot.
Use these examples as visual directions for filters, amplifiers, control loops, measured-versus-simulated traces, notches, resonance, and engineering-ready Bode plots.
Prompt
Based on the uploaded low_pass_filter_response.csv file, create a publication-ready Bode plot for a low-pass filter. Use positive frequency values on a logarithmic x-axis, show magnitude in dB and phase in degrees as stacked panels, preserve measured points, and mark cutoff frequency only when the data or prompt supports it.
Prompt
Based on the uploaded band_pass_filter_analysis.tsv file, create a Bode plot for a band-pass filter. Plot magnitude and phase against log-scaled frequency, show the passband peak and attenuation regions clearly, add lower and upper cutoff guides only when supported by the uploaded values, and use clean teal engineering styling.
Prompt
Based on the uploaded amplifier_bandwidth_response.xlsx file, create a Bode plot showing amplifier bandwidth. Use magnitude in dB and phase in degrees, preserve the uploaded frequency range, add a subtle -3 dB bandwidth guide only if the values support it, and keep the two-panel engineering layout crisp.
Prompt
Based on the uploaded control_loop_response.csv file, create a Bode plot for a control loop response. Use logarithmic frequency on the x-axis, magnitude and phase panels, subtle 0 dB and -180 degree reference lines, and add gain crossover or phase margin annotations only when the uploaded data and prompt support them.
Prompt
Based on the uploaded measured_vs_simulated_response.csv file, create a Bode plot comparing measured and simulated response traces. Use consistent colors across magnitude and phase panels, show measured points and simulated dashed lines only when the series columns are present, include a compact legend, and avoid extrapolating beyond the uploaded frequency range.
Prompt
Based on the uploaded notch_resonance_response.tsv file, create a Bode plot for a notch or resonance response. Plot positive frequency values on a log x-axis, show magnitude and phase panels, mark the notch or resonance frequency only when visible in the uploaded data, and use a restrained purple technical palette.
Add CSV, TSV, TXT, or Excel data with positive frequency values, magnitude values, and optional phase or series columns.
Tell SciFigure AI the units, panels, measured points, cutoff lines, crossover notes, grouping, and annotations you need.
Create a clean AI Bode plot, verify log scaling and units, then download PNG for reports and slides.
It turns frequency-response measurements into a clean Bode plot with magnitude and optional phase panels. The result is useful for filters, amplifiers, sensors, control loops, resonance analysis, engineering reports, and research presentations.
Use a positive numeric frequency column and a numeric magnitude column. Add a numeric phase column when you need a two-panel magnitude and phase Bode plot.
Yes. Bode plots normally use a logarithmic frequency axis, so zero or negative frequencies cannot be plotted on that scale.
Yes. Include a series, condition, or trace column and describe how the traces should be styled in the final figure.
Yes, but those annotations should only be included when the uploaded data and your instructions support them.
Yes, but verify units, frequency scaling, phase wrapping, line labels, and any engineering annotations before submission.
Generate Bode plots, line charts, regression plots, and other research-ready visualizations with SciFigure AI.
