Drizz is an AI-powered mobile test automation platform that uses intent-based testing. You describe what you want to test in plain English, and Drizz executes it on a real device using Vision AI, then automatically creates a reusable test case. It eliminates scripting and flaky selectors, adapting to dynamic UIs and integrating with CI/CD pipelines for reliable end-to-end coverage.

How much does Drizz cost in 2026?

Pricing for Drizz in 2026 is not publicly available. The official website does not list current pricing details, and no verified pricing information has been found. For accurate and up-to-date pricing, you should check directly with Drizz or visit their website, as costs may have changed.

Drizz has a free tier based on publicly available information in the grounded product data. Buyers should still verify the current limits, upload allowances, export options, and any watermark or usage restrictions on the official site because free-plan packaging may have changed since the last product update.

Drizz vs alternatives in this category: what is the difference?

Practically, Drizz differentiates itself with intent-based testing, where plain English descriptions drive test execution on real devices using Vision AI, eliminating manual scripting. Compared to alternatives in this category, it focuses on reducing maintenance overhead and flaky selectors. However, specific feature comparisons are not verified, and buyers should evaluate based on their workflow needs.

What are the best alternatives to Drizz?

Not verified: The best alternatives to Drizz depend on your testing requirements. Common options in the mobile test automation space include Appium, Espresso, XCUITest, and commercial tools like BrowserStack or Sauce Labs. Each offers different approaches, such as script-based or codeless testing. Since Drizz's unique intent-based AI approach is not directly comparable, evaluate alternatives based on your team's skills and project needs.

Is Drizz safe for general business use?

Operationally, Drizz appears safe for general business use, but specific security certifications, data handling practices, and compliance details are not publicly available. As with any testing tool, you should review Drizz's privacy policy and terms of service to ensure it meets your organization's security requirements. Based on publicly available information, no major safety concerns have been reported.

Does Drizz have an API?

Not verified: API availability is not publicly verified for Drizz. Buyers should not assume a usable public API exists until the vendor publishes developer documentation or confirms access directly. Before planning an integration, verify endpoints, authentication, rate limits, pricing, support terms, and whether API access is generally available or limited to partners.

Commercially, Drizz works by letting you describe a test scenario in plain English. It then uses Vision AI to interact with a real mobile device, executing the steps as a human would. The platform observes the UI visually, adapting to changes, and automatically generates a reusable test script. This intent-based approach removes the need for brittle selectors and manual script maintenance.

Technically, Drizz automates mobile app testing by executing plain English test descriptions on real devices. It uses AI to see and interact with the app's interface, then creates maintainable test cases automatically. This eliminates manual scripting and reduces flaky tests, integrating with CI/CD pipelines to provide continuous, reliable end-to-end testing coverage for mobile applications.

Does Drizz train on user data?

Drizz's data training policy is not publicly available. It is not verified whether the platform uses customer test data, app screenshots, or interactions to train its AI models. For clarity on data usage and privacy, you should review Drizz's terms or contact their support, as practices may have changed.

What are the disadvantages of Drizz?

Potential disadvantages of Drizz include unverified pricing, unknown API availability, and lack of public details on data training and security certifications. Its reliance on Vision AI may introduce latency or accuracy trade-offs compared to traditional selector-based tools. Additionally, as a newer platform, community support and integrations might be limited, though this is not verified.

Who should not use Drizz?

For buyers, Drizz may not suit teams requiring extensive API-driven test orchestration, detailed pricing transparency, or established enterprise security certifications. Organizations needing broad language support or deep integration with legacy tools might find limitations, though specific gaps are not verified. Buyers with strict data residency or training restrictions should confirm policies before adopting.

Drizz

Drizz is an AI-powered mobile test automation platform built around intent-based testing.

Researched with AI|Data refreshed 1 hour ago|2 sources|Updated 2 times this year

Data refreshed 1 hour ago2 sources

Testing and QA softwareDeveloper Tools

Drizz is an AI-powered mobile test automation platform built around intent-based testing.

Researched with AI|Data refreshed 1 hour ago|2 sources|Updated 2 times this year

Data refreshed 1 hour ago2 sources

Testing and QA softwareDeveloper Tools

Unlock 30-sec verdict

Starting price

Pricing unverified

Best for

Testing and QA software

Free trial

✓ Free tier

Monthly traffic

—

Social listening

20mentions

First indexed

—

Explore options

See how Drizz compares

Compare alternatives Visit site

Drizz is a practical fit for buyers evaluating focused AI tooling.

Who is it for?: Mobile QA leads who need to author and maintain end-to-end test suites without scripting; better than Appium for teams lacking deep automation engineers because tests are written in plain English and auto-healed by Vision AI.
Pricing: freemium
Alternatives: Manus,OmniGen2,JanitorAI

Product information

What this product does

Drizz is an AI-powered mobile test automation platform built around intent-based testing. Simply describe what you want to test in plain English, Drizz executes it on a real device using Vision AI and automatically authors a reusable test case. No scripting, no flaky selectors, no manual maintenance. It adapts to dynamic UIs, integrates with your CI/CD pipeline, and gives your team reliable end-to-end coverage without the overhead.

Sourced from drizz.dev

Works With

Platforms

Company & Maker

Who built Drizz?

Product: Drizz is an AI-powered mobile test automation platform built around intent-based testing. Simply describe what you want to test in plain English, Drizz executes it on a real device using Vision AI and automatically authors a reusable test case. No scripting, no flaky selectors, no manual maintenance. It adapts to dynamic UIs, integrates with your CI/CD pipeline, and gives your team reliable end-to-end coverage without the overhead.
Live since: May 2026

from Product Hunt5.011 reviews773 followers

Yash Varyani@yash_varyaniMaker- May 14, 2026

Hey Product Hunt! 👋 I'm Yash, co-founder of Drizz. Along with my co-founders, Partha and Asad, we've spent the last year building the mobile testing tool we always wished existed. 💡 How it started I once spent 3 hours debugging a broken test, only to find a designer had moved a button 12px to the left. That was the moment I knew legacy systems was broken. Not "could be improved." Fundamentally broken. XPaths that shatter when a UI changes. Test suites that need a dedicated engineer just to stay alive. We lived this at Amazon and Coinbase. Teams shipping slower than they should because testing was a tax, not a tool. So we built our way out of it. 🚀 One sentence in. A complete test out. Drizz is a Vision AI mobile testing agent. You write what you want to test in plain English, just the goal. Drizz reasons about your app, generates the full test, and executes it on a real device. "Search for stays in Spain for 8th–10th April for one adult" → Drizz reads the app visually, builds every step, runs it on a real iPhone. No selectors. No scripts. No maintenance. What Drizz does differently: ✍️ Plain English authoring: describe the goal, Drizz builds the test 🔮 Vision AI execution: reads your app like a human, not the DOM 🩹 Self-healing tests: UI changed? Drizz adapts automatically 📱 Real device execution: iOS & Android, not simulators 🔗 CI/CD native: GitHub Actions, GitLab, Jenkins, Azure DevOps 📊 Results from teams using Drizz: ⚡ 10× faster test authoring vs Appium 🛠️ 67% less maintenance overhead ✅ 20000+ test cases automated without a single selector 🤝None of this happens without the full Drizz team Every line of code, every design call, every customer conversation that shaped Drizz, that's the whole team showing up, every single day. Huge love to everyone who's been in the trenches with us. You know who you are. 🧡 🙏 Our ask today Not asking for upvotes, asking for honest feedback. → What does your mobile testing setup look like right now? → What would make switching to Drizz a no-brainer for your team? Drop a comment. We read everyone, and it directly shapes the roadmap. 👉 drizz.dev Thanks to @rohanrecommends for hunting us, and to the entire Product Hunt community for showing up for builders. Days like today are why we build in public. 🚀 — Yash @yash_varyani , Asad @asad_abrar1 , Zaid @zaid_ahmed_ansari , Zaid @Zaid Abdul Bari, Sreetama @sreetama_chakraborty , Partha @partha_sarathi_mohanty, & the whole Drizz team

See It In Action

Does Drizz have a demo?

Yes — watch the walkthrough below.

Researched with AI · Data refreshed 1 hour ago · How we score

Full Report Access

Unlock the verified intelligence before you decide

or 10 for $24.99 -> $2.50 each

Drizz is an AI-powered mobile test automation platform that lets teams describe tests in plain English and executes them on real devices using Vision AI, auto-authoring reusable test cases. It is used by mobile QA and engineering teams who want end-to-end coverage without writing or maintaining selector-based scripts.

Who should use

Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.

Best-fit workflows

Automates end-to-end mobile regression suites by executing plain-English test intents on real iOS and Android devices via Vision AI.
Generates reusable test cases from natural-language descriptions, removing manual selector and script maintenance.
Tracks dynamic UI changes and adapts existing test steps without rewriting selectors when layouts shift.
Runs CI/CD-gated mobile smoke tests on real devices and reports pass/fail back to the pipeline.
Drafts exploratory mobile test coverage from product requirements written as plain-English intents.
Mobile QA leads who need to author and maintain end-to-end test suites without scripting; better than Appium for teams lacking deep automation engineers because tests are written in plain English and auto-healed by Vision AI.

Inferred from public dataView source →

Half a day to connect devices/CI and author the first intent-based suite; longer for full regression coverage.Power-userSmall teamMid-marketEnterprise

Pricing reality

Vendor stated
Public pricing page lists 22 price points across tiers (exact tier structure not fully documented in public signals).
Actual cost
Real cost likely scales with device minutes, parallel executions, and seat count; teams should model CI run frequency against device-hour pricing.
Hidden costs
3 hidden cost warnings — unlock to view

Migration effort from 5 platforms analyzed

Pricing reality

Verified May 2026 / Vendor pricing evidence only

Vendor pricing page

Starting price

Pricing unverified

Free tier reported; paid-plan amounts are not verified yet.

Tier grid hidden until verified

Mindber only shows named plan cards when they come from linked pricing evidence. If the tier data is incomplete, this page falls back to the verified starting price instead of fabricating plan names or $0 tiers.

What pricing pages often hide

Auto-renewal is often on by default and refunds are narrow.

Beta, Linux, or recovery edge cases often ship without SLA coverage.

Team and business tiers usually move to sales-led quoting.

One-time or lifetime offers tend to disappear at version boundaries.

True cost for your case

LIVE ESTIMATE

Use caseMonths needed

Estimated spend

Starting price has not been verified from a linked pricing source yet.

View live pricing Compare alternatives Open canonical review

Compare this product in-line

Start with a suggested alternative or type another tool to jump into a side-by-side comparison.

Engagement signals (30d)

Based on 6 linked public signals.

Mindber Activity Score™

Score locked

How we calculate this Claim this profile Report inaccuracy

HOW THIS TOOL SCORES

Scores compare this tool with 59 similar tools in Testing and QA software. Use it to judge Innovation and Capability before you shortlist.

Updated Oct 13, 2026Baseline refreshed Jun 24, 2026

How we score →

Innovation Index™

Is it new, different, and easy to understand?

Top 10%8.1/10

Does it stand out from similar tools?7.0/10

Is this idea actually new?8.0/10

Can buyers understand it quickly?9.0/10

Functionality Score™

Does it cover the jobs buyers expect, and can it keep up?

above median5.3/10

Does it cover the core jobs?5.0/10

Are the main features deep enough?6.0/10

Will it fit into your stack?5.0/10

Can users trust it to stay usable?5.0/10

Low confidence (30%) - some sub-scores have thin evidence.What this means →

Category baseline: Testing and QA softwareInnovation median: 7.5Capability median: 4.9n = 59

Data sources

Engagement: declining (29/100)Homepage load: 0.1sBaseline source: live product websites

Traffic & search proof

Public view keeps the ratio story. Paid view unlocks exact monthly visits, full region coverage, and CPC-level keyword intelligence.

Google Trends live interest

Live Google Trends data for Drizz: interest over time, regions, topics, and related queries.

Open Google Trends

Tracks 12-month Google search interest on a 0-100 relative interest scale.

Includes regional demand, so readers can see where search interest is strongest.

Includes related topics and related queries to surface adjacent demand and search intent.

FAQ

Only linked Q and A rows are shown. Empty FAQ data stays hidden.

Social mentions

Only linked public mention evidence is shown here.

20 linked

Showing top 3 of 20 linked mentions.

Sources and methodology

Only evidence with a linked source record or explicit feature provenance is shown here. Data without provenance stays off the page.

EVIDENCE TRAIL

Social mentionsenrichment:social-mentions75% confidence

FAQ / Q&AMindber Faq Ai

LINKED SOURCES

ProducthuntVerified

Drizz

Rating5Reviews11Last seenMay 19, 2026

HOW WE VERIFY

Mindber only surfaces numbers that trace to a linked source record or explicit feature provenance. When the evidence is thin, the page hides the field instead of guessing. Activity and fit summaries reuse the same approved projections across the hero, main panels, and sidebar so one product cannot show two different truths.

Scoring methodologyActivity Signals methodologyReport a data issue

COMMUNITY CREDITS

Have you used Drizz? Earn credits.

Verified contributions help the page stay honest. The wider member action set still lives in your dashboard so the public page stays focused on the two highest-signal workflows.

Write a verified review (200+ words) → earn 1 credit

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Spot incorrect data? Submit a correction → earn 1 credit

Flag stale pricing, wrong traffic signals, or broken links and the editorial team will re-verify the record.

Submit correction

Maker access, comments, ratings, and verification requests remain available inyour dashboard.

Community audits

Member opinion — not a Mindber assessment

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About this data: Activity signals and intelligence cards are aggregated from public sources and reviewed by editors. Scores reflect public update frequency only — not product quality, company health, or investment suitability. Data may lag by up to 7 days. Learn more

Drizz

Drizz is an AI-powered mobile test automation platform built around intent-based testing.

Researched with AI|Data refreshed 1 hour ago|2 sources|Updated 2 times this year

Data refreshed 1 hour ago2 sources

Testing and QA softwareDeveloper Tools

Drizz is an AI-powered mobile test automation platform built around intent-based testing.

Researched with AI|Data refreshed 1 hour ago|2 sources|Updated 2 times this year

Data refreshed 1 hour ago2 sources

Testing and QA softwareDeveloper Tools

Unlock 30-sec verdict

Starting price

Pricing unverified

Best for

Testing and QA software

Free trial

✓ Free tier

Monthly traffic

—

Social listening

20mentions

First indexed

—

Explore options

See how Drizz compares

Compare alternatives Visit site

Drizz is a practical fit for buyers evaluating focused AI tooling.

Who is it for?: Mobile QA leads who need to author and maintain end-to-end test suites without scripting; better than Appium for teams lacking deep automation engineers because tests are written in plain English and auto-healed by Vision AI.
Pricing: freemium
Alternatives: Manus,OmniGen2,JanitorAI

Product information

What this product does

Sourced from drizz.dev

Works With

Platforms

Company & Maker

Who built Drizz?

Product: Drizz is an AI-powered mobile test automation platform built around intent-based testing. Simply describe what you want to test in plain English, Drizz executes it on a real device using Vision AI and automatically authors a reusable test case. No scripting, no flaky selectors, no manual maintenance. It adapts to dynamic UIs, integrates with your CI/CD pipeline, and gives your team reliable end-to-end coverage without the overhead.
Live since: May 2026

from Product Hunt5.011 reviews773 followers

Yash Varyani@yash_varyaniMaker- May 14, 2026

See It In Action

Does Drizz have a demo?

Yes — watch the walkthrough below.

Researched with AI · Data refreshed 1 hour ago · How we score

Full Report Access

Unlock the verified intelligence before you decide

or 10 for $24.99 -> $2.50 each

Who should use

Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.

Best-fit workflows

Automates end-to-end mobile regression suites by executing plain-English test intents on real iOS and Android devices via Vision AI.
Generates reusable test cases from natural-language descriptions, removing manual selector and script maintenance.
Tracks dynamic UI changes and adapts existing test steps without rewriting selectors when layouts shift.
Runs CI/CD-gated mobile smoke tests on real devices and reports pass/fail back to the pipeline.
Drafts exploratory mobile test coverage from product requirements written as plain-English intents.
Mobile QA leads who need to author and maintain end-to-end test suites without scripting; better than Appium for teams lacking deep automation engineers because tests are written in plain English and auto-healed by Vision AI.

Inferred from public dataView source →

Half a day to connect devices/CI and author the first intent-based suite; longer for full regression coverage.Power-userSmall teamMid-marketEnterprise

Pricing reality

Vendor stated
Public pricing page lists 22 price points across tiers (exact tier structure not fully documented in public signals).
Actual cost
Real cost likely scales with device minutes, parallel executions, and seat count; teams should model CI run frequency against device-hour pricing.
Hidden costs
3 hidden cost warnings — unlock to view

Migration effort from 5 platforms analyzed

Pricing reality

Verified May 2026 / Vendor pricing evidence only

Vendor pricing page

Starting price

Pricing unverified

Free tier reported; paid-plan amounts are not verified yet.

Tier grid hidden until verified

What pricing pages often hide

Auto-renewal is often on by default and refunds are narrow.

Beta, Linux, or recovery edge cases often ship without SLA coverage.

Team and business tiers usually move to sales-led quoting.

One-time or lifetime offers tend to disappear at version boundaries.

True cost for your case

LIVE ESTIMATE

Use caseMonths needed

Estimated spend

Starting price has not been verified from a linked pricing source yet.

View live pricing Compare alternatives Open canonical review

Compare this product in-line

Start with a suggested alternative or type another tool to jump into a side-by-side comparison.

Engagement signals (30d)

Based on 6 linked public signals.

Mindber Activity Score™

Score locked

How we calculate this Claim this profile Report inaccuracy

HOW THIS TOOL SCORES

Scores compare this tool with 59 similar tools in Testing and QA software. Use it to judge Innovation and Capability before you shortlist.

Updated Oct 13, 2026Baseline refreshed Jun 24, 2026

How we score →