Skip to content

10 Minutes on SpectraSherpa Cloud

Use this path to run an example PCA workflow on the hosted demo, then repeat it on a small file if your upload quota is available. Bundled example datasets let you see scores, loadings, Node Detail, and a report without installing anything.

1. Sign In

Open demo.spectrascientific.ai, create a free demo account, and enter access code:

welcome_to_spectra_sherpa

Demo access is intentionally shareable within reasonable limits, so colleagues can try the same product experience. For the current rate, session, and upload limits, see Demo Access and Limits.

2. Run an Example PCA with New Analysis

Open New Analysis and choose a PCA starter. It comes wired to an example dataset, so you can run it immediately. Run it and look at the scores, loadings, and explained variance.

Ask Advisor along the way

Advisor can answer questions at any step: "What does this score plot suggest?", "Which preprocessing should I try next?", "Are these samples outliers?". Use it as an interpretation aid, not a replacement for scientific judgment.

3. Open the Detailed Node Viewer

Click into a result node to open the Node Detail view. This is where you read a step end to end: the plot, the table, the metrics, and the diagnostics for that node. Click through the workflow nodes to see how the data changes from import to model output.

4. Import Your Data into My Dataset

Open Data > Upload and add a small FTIR, NIR, Raman, or UV-VIS file. Confirm Files, Metadata, and Data Matrix, then save it into My Dataset so a workflow can use it. Demo upload is intentionally limited; see Demo Access and Limits. For unlimited local use, see Local OSS.

5. Build a PCA for Your Own Data

Duplicate the example PCA sheet, then open its data node and select your My Dataset entry as the input. Run it. You now have the same PCA workflow pointed at your data. Adjust preprocessing and components as needed, and use the Node Detail view to review the result.

6. Export and Report

Export the results, including figures, tables, or the workflow, and open the Report for a shareable record of the run. If an AI narrative is available, treat it as a labeled interpretation draft; the plots and metrics remain the scientific record.

What to Remember

Demo accounts are for evaluation. Do not upload confidential, regulated, export-controlled, or irreplaceable data to the public demo. The canonical policy page is Demo Access and Limits.