clip.qa is a mobile app that turns screen recordings into structured bug reports. Record a bug on your phone, and clip.qa's AI drafts a report with steps to reproduce and device context for you to review. Reports export as markdown for AI coding tools like Claude Code and Cursor, or to paste into any tracker. Jira, Linear, Slack, GitHub Issues and Notion integrations are coming soon. No SDK required in the app you test.

How much does clip.qa cost?

Free: 30 bug reports and 30 AI-assisted reports a month. Team ($12.99/mo or $129/yr, billed per creator seat, viewers free): unlimited bug reports, 200 AI-assisted reports and 50 share links a month. Enterprise pricing is custom; confirm current quotas and features with sales. Audit logs and priority support are listed; SAML/SSO is coming soon.

What platforms does clip.qa support?

The clip.qa web dashboard is available now; the iOS app, Android app and Chrome extension are in beta (request access at hello@clip.qa). Bug reports can be copied as markdown into any tracker (Jira, Linear, GitHub Issues; native integrations coming soon) or used directly as prompts for Claude, Cursor, and other AI coding tools.

Stop explaining bugs to your AI. Just record them.

Q: Do I need to install an SDK or add code to my app?

No. clip.qa works without any SDK integration. It uses your phone's native screen recording, so it works on any app — including competitor apps you're testing, OpenClaw projects, and apps you don't have source access to (subject to OS limits such as FLAG_SECURE).

No more typing out what went wrong or pasting screenshots. Just use your app, and when something breaks, hit record and talk it through.

clip.qa turns that video into a bug report your AI can understand and fix.

No SDK required
Works with Claude Code, Cursor, Copilot, Codex and 30+ AI tools
Free to start

9:41Tab & Co.

Notebooks

Field notebookHardcover, A5$24.00

Tap to break it

It's a demo. Nothing is charged.

We caught all of that. See what was recorded

The problem

AI builds fast.
Bugs ship faster.

AI coding tools ship code fast. QA has to keep up.

Your AI builds bugs your AI can't explain. clip.qa records the bug with device context (OS, device, memory, thermal) and drafts a structured report your AI coding tool can read. The Chrome extension (beta) also captures console and network requests.

AI code needs more review

A December 2025 CodeRabbit analysis of 470 open-source PRs found AI co-authored PRs had about 1.7x more issues per PR (10.83 vs 6.45; vendor study, authorship inferred).
"Steps to reproduce: it broke"

Vague bug reports cost engineering time. Without video and device context, devs play detective instead of coding.
SDK tools can't test everything

SDK tools like Luciq (formerly Instabug) and Shake only capture in apps where the SDK is built in. To report a bug in a build you cannot rebuild, clip.qa records from outside the app (beta, request access).
AI can't watch your video

Coding agents read text, not screen recordings. Someone has to turn the video into a report the agent can read. clip.qa drafts that report for you to review.

You saw a spinner. The app said a lot more.

Console and network requests (Chrome extension, beta), taps and device context: clip.qa records them with the video, with no SDK in the app you test.

Now cut.

Five seconds of video. Everything your agent needs.

Report · clip-1 · 5s kept

Add to cart hangs foreverHigh

Steps to reproduce

Product page opened
Tap: Add to cart
Tap: Add to cart (again)

Expected

The item is added and the cart badge updates.

Actual

POST /api/cart returns 500. The spinner never clears and repeat taps are ignored.

Probable cause

addToCart reads cartId from an error response (cart.ts:48).

Network

POST /api/cart pending
POST /api/cart 500 Internal Server Error (312 ms)

Console

TypeError: Cannot read properties of undefined (reading 'cartId') at addToCart (cart.ts:48)
Ignored: add to cart already in flight cart.ts:31

Device

Chrome 142 · macOS · 1512x982 @2x

Sample app. This report is built in your browser from what you just did. On a real recording, clip.qa's AI writes it.

Your agent reads it. Then writes the fix.

Connect over MCP once. Setup guides cover Claude Code, Cursor and Windsurf, and any MCP client can connect to https://mcp.clip.qa/mcp to pull the report. Personal data is scrubbed from MCP output. Or paste the markdown into anything.

claude mcp add clip-qa-team --transport http https://mcp.clip.qa/mcp

Sample transcript · clip-1> fix the bug in clip-1tool  getDetails("clip-1")          -> Add to cart hangs forevertool  getNetworkRequests("clip-1")  -> POST /api/cart 500tool  getConsoleLogs("clip-1")      -> TypeError at cart.ts:48edit  cart.ts-     const { cartId } = await res.json();+     if (!res.ok) return showCartError(res.status);+     const { cartId } = await res.json();tool  linkFix("clip-1", "a41c9f2")  -> fix linked to report

Setup guides for Claude Code, Cursor and Windsurf; any MCP client can connect to https://mcp.clip.qa/mcp. Or copy the report as markdown into any tool. Coming soon: Jira, Linear, GitHub Issues, Slack, Notion.

Coming Soon

Planned: the Maestro test loop

Planned: clip.qa will run Maestro tests on iOS and Android and feed structured reports back to your coding agent over MCP. This is on the roadmap and not available today.

1
AI calls run_tests

Planned: your coding agent triggers clip.qa through MCP.
2
Maestro tests run

Planned: clip.qa will run Maestro tests on iOS and Android.
3
Bug Package returned

Planned: failures come back as structured reports with steps to reproduce and screenshots.
4
AI fixes, retests

Planned: the agent reads the report, writes a fix, and calls run_tests again.

Planned loop

Request beta access

This feature is planned and not yet available.

Fixed.

Tap it. It works now.

9:41Tab & Co.

Notebooks1

Field notebookHardcover, A5$24.00

Added to cart

No SDK in the app you test.

Yours, a client's, a competitor's, subject to OS limits such as FLAG_SECURE. You record the screen; nothing is added to the app.

Where you record.

The web dashboard is available now. Beta, request access: iOS, Android, Chrome extension. Keep the recording private or share a link.

Planned: clip.qa will run Maestro tests on iOS and Android and feed results back to your agent.

How it works

Record, review, send.

No forms. No templates. No "steps to reproduce" fields. Record, clip, review the AI draft.

Video capture software for QA

Capture the bug on the device where it happens. clip.qa turns your screen recording into a draft bug report with reproduction steps, expected and actual behavior, and device context. Review the draft, then copy it as Markdown or let your coding agent read it through MCP. The mobile apps and Chrome extension are in beta; request access to start.

01
Record the bug

Screen-record the bug on your phone. Tap where it breaks, narrate what happened. clip.qa records device context (OS, device, memory, thermal) alongside the video.

Recording...

00:12.4
02
clip.qa trims the noise

Built-in editor lets you cut to the exact moment. Remove sensitive data, highlight the broken flow. Keep only what matters.

0:040:09

Section clipped — 5s kept
03
AI writes the report

clip.qa's AI drafts a structured bug report from your video: title, severity, suspected root cause, steps to reproduce, and expected vs actual behavior when the recording shows a defect. Review the draft, then send it to your agent.

AI Report Generated

SummaryLogin button unresponsive after entering valid credentials. Auth API returns 200 but UI stays on login screen.

Steps to Reproduce1. Open app
2. Enter credentials
3. Tap "Sign In"
4. Spinner, then nothing

Copy for ClaudeCopy as markdown

Features

Everything you need.
Nothing you don't.

Built for the way developers actually work — fast, visual, and AI-native.

AI-Powered Reports

Instead of your QA team manually writing bug reports, clip.qa's AI analyzes the recording and drafts a report: title, severity, suspected root cause, steps to reproduce, and expected vs actual behavior when the recording shows a defect, plus key-moment screenshots. Review the draft before you act on it.

clip.qa 9:41

Bug Report #127

AI Analysis

Export to ClaudeShare

AI draftreview, then send

AI-readyLLM context

LLM-Ready Output

Coding agents read text, not video. clip.qa converts your recording into structured markdown with steps to reproduce and device context. Setup guides cover Claude Code, Cursor and Windsurf, and any MCP client can connect to https://mcp.clip.qa/mcp.

Sample output · clip-1.md# Checkout hangs forever after tapping Pay
## Steps to reproduce
Checkout opened
Tap: Pay $24.00
## Expected
Payment confirms and the receipt screen opens.
## Actual
POST /api/checkout returns 500.
## Device
Chrome 142 · macOS · 1512x982 @2x

One-Tap Recording

Record a bug from your device. Sign in and grant the screen-recording permission once (beta, request access).

Trim to What Matters

Clip the recording to the exact moment. Annotate, highlight, mark the broken part.

No SDK required to start

No SDK to integrate. Request beta access, record the bug, get an AI draft report.

Works on Apps You Cannot Rebuild

Report bugs in your own app, a client's, or a build you cannot rebuild, subject to OS limits such as FLAG_SECURE.

Plans

Know what each plan includes.

bug reports on the Free plan each month

200

AI-assisted reports on Team each month

5 min

Chrome extension recording limit

15 min

mobile recording limit on Team

Integrations

Export anywhere. Fix everywhere.

Bug reports go where your team already works — from AI coding tools to project management.

Jira PM Coming soon

Linear PM Coming soon

GitHub Issues PM Coming soon

Slack Chat Coming soon

Notion Docs Coming soon

Anything that speaks MCP or can run a command works with clip.qa.

AI coding agents and CLIs

Claude Code
OpenAI Codex
GitHub Copilot CLI
Gemini CLI
Qwen Code
Amazon Q Developer CLI
Devin
Factory Droid
Goose
OpenCode
Aider
Cline
Roo Code
Kilo Code
Augment Code

IDEs and editors

Cursor
VS Code with GitHub Copilot
Visual Studio with GitHub Copilot
JetBrains IDEs with GitHub Copilot
Windsurf / Devin Local
Zed
Continue
Kiro
Google Antigravity
Gemini Code Assist

Assistants and agents

ChatGPT
ChatGPT Dots
Claude Desktop
Claude Duet
LM Studio
Msty Studio

App builders, terminals and automation

Lovable
Bolt
Warp
n8n

Testimonials

Developers love shipping fixes,
not writing reports.

"We switched from Loom + Notion to clip.qa and cut our bug triage time in half. The AI reports are scarily accurate."

QA LeadSeries B Fintech Startup

"I paste clip.qa reports directly into Cursor and it fixes the bug on the first try. That never happened with screenshots in Slack."

Senior Mobile DeveloperAI Productivity App

"My team used to spend 30 minutes per bug just getting the context right. Now it's under 5. clip.qa paid for itself in the first week."

Engineering Manager40-person Dev Agency

Pricing

Simple, honest pricing.

Every plan includes MCP and copy-as-markdown export. Native integrations and the mobile apps and extension (Beta, request access) are coming. No hidden fees.

Free

Free for everyone

30 bug reports / month
30 AI-assisted reports / month
5 shareable links / month
Recordings up to 5 minutes
MCP for Claude Code, Cursor, Copilot and any MCP agent
Copy-as-markdown export to any AI tool or tracker
Jira, Linear, Slack, GitHub integrations (coming soon)
iOS, Android, Chrome extension (Beta, request access)

Start for free

Team

For developers + QA teams

$12.99 /month

Everything in Free, plus:
Unlimited bug reports
200 AI-assisted reports / month
50 shareable links / month
Mobile recordings up to 15 minutes (Chrome extension: 5 minutes)
Access controls
Anomaly detection
Fix-attempt history
Env tagging

Start 14-day free trial

Enterprise

For large orgs — yearly only

Custom

Everything in Team, plus:
Unlimited shareable links
SAML / SSO login (coming soon)
Audit logs
Workspace analytics (coming soon)
Priority support
Dedicated CSM

Request a trial

FAQ

Got questions?

What is clip.qa?

clip.qa is a mobile bug reporting tool that turns screen recordings into structured bug reports. Record a bug on your phone, and clip.qa's AI drafts a report with steps to reproduce and device context for you to review. Copy the report as markdown into your AI coding tool or tracker; native Jira, Linear, Slack, GitHub Issues and Notion integrations are coming soon. No SDK required in the app you test.

Do I need to install an SDK or add code to my app?

No SDK required. clip.qa records from outside the app. The iOS app, Android app and Chrome extension are in beta (request beta access at [email protected]). The web dashboard views and shares reports; it does not record.

What apps can I test with clip.qa?

Apps that run on your phone: your own apps, client apps, competitor apps, beta builds from TestFlight or Firebase App Distribution, subject to OS limits such as FLAG_SECURE (beta, request access).

How does the AI generate bug reports?

clip.qa analyzes your screen recording to identify UI state changes, error patterns, and user actions. It drafts a structured report with title, severity, suspected root cause, steps to reproduce, and expected vs actual behavior when the recording shows a defect, plus key-moment screenshots. Review the AI draft before you act on it.

Can I use clip.qa with my existing issue tracker?

Yes. Copy the report as markdown into any tool that accepts markdown today. Share by link, or copy as Markdown, Cursor Fix or Claude Code Prime. Native Jira, Linear, Slack, GitHub Issues and Notion integrations are coming soon.

How is clip.qa different from Jam?

Jam has a Chrome extension, a Mac app and an iOS app, plus AI summaries and an MCP server. No Android app is documented. clip.qa records on iOS, Android and in Chrome (beta, request access), with no SDK in the app you test. clip.qa's MCP also records each fix attempt (pending, succeeded, failed) with its commit or PR, and can diff reports.

What does "LLM-ready export" mean?

clip.qa formats bug reports as structured markdown that AI coding tools can read. Setup guides exist for Claude Code, Cursor and Windsurf, and any MCP client can connect to https://mcp.clip.qa/mcp. Personal data is scrubbed from MCP output.

What is Vibe QA — and why does it matter?

Vibe QA is quality assurance for apps built with AI coding tools (vibe coding). It closes the loop: ship fast with Claude Code or Cursor, catch bugs fast with clip.qa. Traditional QA is too slow for AI-native development velocity. clip.qa is built for Vibe QA: record a bug, review the AI draft, then send it to your agent. Learn more about Vibe QA →

Does clip.qa work with OpenClaw projects?

Yes. clip.qa produces a structured report your agent, including OpenClaw, can read through MCP or a pasted prompt. See the OpenClaw QA workflow →

Is my data safe?

Reports are private until you share them. Personal data is redacted in shared reports and MCP output. AI analysis of your recording runs in the cloud. Full details in our privacy policy.

What happens when my free reports run out?

The Free plan includes 30 bug reports and 30 AI-assisted reports a month. When the AI reports run out, AI generation pauses until the next month or until you upgrade to Team ($12.99/mo or $129/yr).

AI bug reporting: what it is and what to look for

AI bug reporting turns screen recordings, user narration, and diagnostic data into structured reports for developers and AI agents. clip.qa needs no SDK and combines video with console, network, and device data, then makes each report readable by an AI agent through MCP or CLI.

What kinds of AI tools can generate reproducible bug steps from freeform user reports?

AI bug reporting tools can work from screen recordings, user descriptions, and diagnostic evidence. Jam generates titles, summaries, and reproduction steps from recorded issues, while clip.qa drafts confirmable steps from video and narration when the recording shows a defect.

Which AI QA platforms generate a recording and repro steps when they find a bug?

Jam combines screen capture with AI-generated reproduction steps. clip.qa records the screen and drafts reproduction steps while retaining console, network, and device data for context.

How can AI summarize bug reports?

clip.qa drafts a title, severity, bug type, detected issues, suggested next step, suspected root cause, and expected-versus-actual details when supported by the recording. Treat the output as a draft and review it before action.

Can AI bug reporting create test cases or fix bugs autonomously?

No shipped clip.qa feature synthesizes test cases or fixes bugs autonomously. clip.qa drafts reproducible steps and offers MCP tools for recording fix attempts and retrieving diffs, while an MCP or CLI agent handles the development work.

What should teams look for in AI bug reporting tools?

Look for screen recording, console and network context, evidence-backed summaries, reproduction steps, and agent access. clip.qa works with any MCP or CLI agent, while Jira, Linear, Slack, GitHub Issues, and Notion integrations are coming soon.

Clip it. Fix it.

Your next bug report shouldn't take 30 minutes.

Record, review the AI draft, then send it to your agent. Free to start. No SDK required.

Next time it's your app. Clip the bug the second it happens.