🖐 Mobile QA · real devices

AI mobile QA and test automation — on real Android devices.

Drive real apps on a real phone with an AI agent: it reads canvas, WebView and game UIs via on-device OCR where selector-based tools go blind, and replays deterministic macros with no flaky tests. MCP-native — connect Claude, Cursor, or any agent.

The problem

Selector-based mobile testing breaks where it matters most.

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Canvas & WebView are invisible

Appium/Espresso need element IDs. Games, Flutter/canvas screens, charts and embedded WebViews expose none — so those flows go untested.

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Flaky tests erode trust

Brittle locators break on every layout tweak; teams spend more time fixing tests than shipping. "Re-run until green" isn't a strategy.

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Emulators aren't reality

Real logins, real payment sheets, and anti-bot checks behave differently on a real device — the only place a real regression shows up.

How ScreenHand helps

An AI agent with real hands — and eyes that read pixels.

🔎

Sees anything via on-device OCR

Reads text and targets from canvas, WebView and game screens — no element IDs required — so you can verify and act on UIs selectors can't reach.

⏺️

Deterministic macro replay

Record a regression flow once, replay it exactly every run with zero AI cost per run, and export results to CSV for data-driven test sets.

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Real devices, real signals

Genuine taps, typing and gestures through Android's accessibility layer on a real phone — the conditions your users actually hit.

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MCP-native, fits your CI

One URL exposes the full toolset to any MCP client (Claude, Cursor, your own agent), so it slots into agent-driven and scripted pipelines alike.

Where it fits

Complement your stack — don't rip it out.

LayerBest toolWhat ScreenHand adds
Native element flowsAppium · Espresso · MaestroKeep them — they're great with element IDs.
Canvas / WebView / gamesOCR + vision reads and acts where selectors don't exist.
Exploratory / agentic checksAn AI agent navigates new flows from a plain-English goal.
Repeatable regressionScripted suitesRecord-once macros replay deterministically, $0 per run.
Honest about reliability: ScreenHand drives a real device over the internet on a poll loop — built for realness, not millisecond timing, and not for real-time/twitch games. Worker-stability hardening is ongoing; ask us where it stands before you depend on it in a critical pipeline.
FAQ

Mobile QA — straight answers.

Is ScreenHand an Appium or Maestro alternative?

It's complementary. Appium, Espresso and Maestro drive elements by selectors; ScreenHand adds an AI agent plus on-device OCR/vision that reads and acts on canvas, WebView and game UIs where selectors don't exist.

Real devices or emulators?

Real Android devices — real accounts, real logins, and no anti-bot tripwires that emulators trigger.

How do you avoid flaky tests?

Record a flow once and replay it as a deterministic macro — same steps every run, no AI cost per run, with CSV output for data-driven runs.

How does it integrate with our stack?

ScreenHand speaks the Model Context Protocol (MCP), so any MCP-compatible client — Claude Code, Claude Desktop, Cursor — drives the device through one URL.

Test the flows your current tools can't reach.

Free during beta. Install on a real device and connect your agent in one line.