Smoke testing is usually a quick check that a build’s essential paths work well enough to proceed to planned testing. Sanity testing is less consistently defined: some sources use it as another name for smoke testing, while some teams use it for a focused check of a recent change. Treat that narrower meaning as a local team convention, not a universal standard.
What is the difference between smoke testing and sanity testing?
| Aspect | Smoke testing | Sanity testing |
|---|---|---|
| Common purpose | Check whether essential functionality works well enough for planned testing to begin. | Meaning varies: it may mean smoke testing, or a team may use it for a focused check after a change. |
| Typical scope | A few critical paths across the application or system, not full functional coverage. | If distinguished locally, the changed feature and nearby risk areas. |
| Depth | Quick and shallow; not intended to deeply test behavior. | No universal depth rule. In the narrower local usage, focus on the change. |
| Typical timing | Early, before investing in planned deeper testing or moving further through an integration or deployment chain. | In some teams, after a small change or fix; timing follows the team’s definition. |
| Decision | Proceed to planned testing, or stop and investigate if an essential check fails. | Decide whether the targeted change appears sound under the team’s scoped check. |
Microsoft’s Engineering Fundamentals Playbook describes smoke testing as a preliminary readiness gate and cautions against treating it as full functionality coverage. The ISTQB Glossary defines smoke testing as a test type intended to provide sufficient confidence that a test object is ready for planned testing. Those descriptions support the readiness-gate meaning of smoke testing; they do not establish a universal, separate definition for sanity testing.
Are smoke testing and sanity testing the same thing?
Sometimes. Microsoft’s Playbook notes that smoke tests are also called sanity tests, among other terms. A reproduction of an ISTQB glossary page also lists “sanity test” as a synonym for “smoke test.” The latter is a reproduction rather than the canonical glossary interface, so treat it cautiously. This evidence shows that the terms can be used interchangeably; it does not mean every team or standard uses them that way.
When a team uses “sanity test” to mean a narrow post-change check, that is a useful convention—but it should be documented as that team’s convention. Agree on the name, scope, timing and pass criteria before using the distinction to plan testing.
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Run a smoke test early on a build that is about to enter planned testing or proceed to a later integration or deployment stage. Choose a few user-visible or system-critical paths that should work on every usable build. The goal is not to prove that the whole application works; it is to catch a build that is not ready for the next investment of testing effort.
If a critical check fails, investigate the failure or reject the build before spending time on later stages. Microsoft’s Playbook says a failed smoke test can be a reason to abandon the rest of the chain for the current version.
How to choose and run the checks
- Choose essential paths. Identify a small set of actions whose failure would make the build plainly unusable or block further testing. Keep the checks representative and quick.
- Run them early. Execute the checks on the build before the planned deeper test work or next integration/deployment stage.
- Make the gate explicit. Define what counts as a pass and what happens on failure. A failed critical check should trigger investigation or a stop decision, not be hidden by continuing as if the build were ready.
- Continue with planned testing after a pass. Passing a smoke test is readiness evidence, not full functional coverage and not proof that the build is defect-free.
- If you use “sanity” narrowly, document the local scope. Name the changed feature, nearby risks to check and the acceptance criteria. Do not assume another team uses the word the same way.
Using a browser screenshot as one smoke-check signal
For a web application, capturing a key page can help a team inspect whether the page visibly renders. A screenshot alone does not verify that controls work, data is correct, or backend behavior is sound; use appropriate assertions and functional checks for those requirements. Keep visual capture as one signal within a broader, deliberately scoped test.
Or skip the browser setup
For a quick captured-page check, ScreenshotNeo provides a website screenshot API and MCP server. A single GET request can return an image or PDF; this cURL example saves a WebP capture of the target page:
curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webp
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See the ScreenshotNeo documentation for the API options. Cookie and consent banners are accepted and removed along with 60+ known consent platforms, newsletter popups and chat widgets; each step can be turned off. Bot checks, blank pages, timeouts, failed loads and cache hits are not billed, and response headers identify the page verdict and billing status. Its MCP server lets AI agents use screenshot and page-information tools. The free plan includes 1,000 screenshots a month with no card; paid plans start at $5 for 3,000. These captures can support visual inspection, but they do not replace functional smoke-test assertions. Learn about ScreenshotNeo, or sign up for 1,000 free screenshots a month with no card.
Common mistakes to avoid
- Calling a small test suite comprehensive. Smoke testing checks a few critical paths; passing it does not establish full functionality coverage.
- Assuming “sanity” always means narrow testing. The term is used inconsistently. State the team’s meaning instead of relying on the label alone.
- Starting lengthy planned testing before checking build readiness. A basic critical failure may make that later effort premature.
- Letting a pass become a release guarantee. A smoke-test pass supports proceeding to the next planned stage; it is not a guarantee that every important behavior works.
- Using a screenshot as a behavioral test. A rendered image cannot by itself confirm interactions, data correctness or service behavior.
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