Duplicate identifiers never block comparison or AI review; they are reported as data quality findings.
Spreadsheet QA for release teams

Turn workbook comparisons into a clear release decision.

ExcelPy compares a trusted baseline against the latest workbook, catches schema drift before review, and keeps the output useful for teams shipping pricing, catalog, and operational updates.

Baseline vs currentKey mapping before diffingOptional AI brief

Workspace preview

Review the diff before the release goes live.

Deterministic first

Baseline workbook

catalog_master_may.xlsx

Trusted source loaded

Current workbook

supplier_update_june.xlsx

Ready for preview

Mapping check

SKU matched
Baseline key: SKU
Current key: item_sku

Review output

500 rows compared

14

Changed

3

Added

2

Removed

481

Unchanged

SKU-1042

Price

changed
$24.90$26.10

SKU-1180

Stock

changed
1200

SKU-1422

Row

removed
Wall Clock 30cmempty

AI Change Review

1 risk flag

Reads the verified diff for price drift and inventory risk, then lists the next checks to run before you publish.

Operational guardrails

Product facts that matter during review.

Small SaaS sites perform better when the homepage explains real limits, not generic promises. These values come directly from the app.

Upload ceiling

10 MB

Per workbook

Row guardrail

5,000

Rows per workbook

Column guardrail

100

Fields per sheet

AI brief

Optional

Configured

Why this structure works

A small SaaS homepage should lead with the product, not abstract mood.

The strongest small SaaS sites show the workflow, explain the risk they remove, and keep motion focused on orientation. This section is doing exactly that.

Review safely

Catch schema drift before you trust the diff.

Missing keys, renamed columns, and broken headers are surfaced before the comparison starts.

Review faster

See the operational changes that actually matter.

The interface focuses on additions, removals, and row-level drift instead of making you scan raw sheets.

Share clearly

Add an AI brief after the verified review.

Teams can turn the final comparison into a concise summary after the deterministic result is ready.

Workflow narrative

The homepage now mirrors how the product actually works.

That matters for current SaaS trends. Visitors should understand the job, the review sequence, and the outcome before they ever hit the workspace.

Manual spreadsheet review breaks down fast.

Once pricing, names, stock, or headers start moving between versions, teams need a structured flow more than they need a decorative dashboard.

Step 01

Load the trusted baseline and the latest workbook

Guided review

Start with the version you trust, then add the file you are about to review or publish.

Step 02

Resolve keys and column matches when the schema drifted

Guided review

Map identifiers and field pairs before the review starts so the output stays reliable.

Step 03

Inspect row-level changes and risk signals

Guided review

Review additions, removals, price drift, and schema warnings in one focused surface.

Step 04

Share the decision with a deterministic summary

Guided review

Hand the result to operations or export an AI brief only after the verified diff is ready.

Use-case proof

Ground the page in the teams that actually feel the pain.

Small SaaS sites convert better when they reflect concrete workflows. These cards make the homepage easier to understand on first read.

Merchandising updates

Review supplier sheets before catalog changes overwrite live pricing or product names.

Spot SKU-level price drift before publish.
Catch removed products and renamed fields early.

Finance and cost checks

Compare trusted baselines against new exports without scanning thousands of cells manually.

Flag unexpected cost swings fast.
Keep a clear record of what changed and why.

Operations handoff

Give the next team a compact summary instead of raw workbook noise and Slack threads.

Share validated differences in one pass.
Add an AI brief only when the data is already verified.

FAQ

Answer the questions a serious buyer asks before clicking.

What does ExcelPy compare today?

Version 1 focuses on single-sheet .xlsx workbook comparisons so the workflow stays simple and deterministic from upload to review.

What if my columns do not match exactly?

The preview flow surfaces schema mismatches and lets you map the identifier plus baseline-to-current fields before you continue.

Is AI required to use the product?

No. The core output is deterministic first. AI is only an optional layer for turning verified changes into a short operational summary.

Who is this homepage designed for?

Small SaaS teams handling pricing, catalog, finance, and operational spreadsheet reviews where accuracy matters more than decorative dashboards.

Final CTA

Start with the file you trust. Then see exactly what changed.

The homepage now explains the job clearly. The workspace takes over from there with one guided, deterministic review flow.