The fatal line is where the story ends.
com.mapview.app did not run out of memory at 11:14:09. Its heap was 98% full eight seconds earlier and every collection after that stalled the main thread, so the ANR at 11:14:07 and the OutOfMemoryError at 11:14:09 are the second and third lines of one chain that starts at line 48,217.
A logcat is mostly noise. The three lines that explain a crash are rarely next to each other, and never next to the crash.
The fatal line is where the story ends.
com.mapview.app did not run out of memory at 11:14:09. Its heap was 98% full eight seconds earlier and every collection after that stalled the main thread, so the ANR at 11:14:07 and the OutOfMemoryError at 11:14:09 are the second and third lines of one chain that starts at line 48,217.
A logcat is mostly noise. The three lines that explain a crash are rarely next to each other, and never next to the crash.
Finding the signal in the noise is a daily struggle.
Five minutes of capture. The entire failure is nine seconds wide and forty lines deep, and grep for error returns 1,904 lines around it.
Cross-layer reasoning, well past search and filtering.
The stream is the evidence. Each read below starts from it and ends in a sentence.
Four steps from raw logs to actionable fixes.
The full investigation, end to end.
Not a highlight. The entire deep-research run, scrolling from the triage report through the real faults to the fix it recommends.
A sample of the visual layer.
Generated straight from the log, no setup, no queries. The system read this stream's shape and what was breaking in it, then built the views that fit.
Logcat is what you have when the crash is not reproducible on your desk.
Tens of thousands of lines and the one that matters is somewhere in the middle. The run above picked the one kernel warning that is a real driver defect out of dozens of boot errors, and named the line, so you start at the cause, not line one.
No stack in the report, just a stream from a tester's device. The investigation reads the sequence, ties the failure to the system state around it, and tells you what led up to it, cited, not guessed.
Sometimes the answer is a picture, not a paragraph. The charts weren't pre-canned; the system read this stream's shape and what was breaking in it, then built the views that fit: what spiked, when, and around which failure.
Logcat is Android's system logging mechanism.
It captures everything: app logs, system events, crashes, ANRs, and more. Every Android developer needs to read logcat, but with thousands of lines per minute, finding what matters is the challenge.
Level is what the line says about itself. Severity is what the analysis says after reading the lines around it: a D line can be the cause, an E line can be nothing.
Logcat analysis is your fastest entry into debugging. Go deeper when you need to.
Questions, answered plainly.
We support all standard logcat formats including threadtime (default), brief, time, tag, and raw. Upload directly from Android Studio's Logcat export, adb logcat output, CI/CD test artifacts, or logs extracted from bugreports. The parser auto-detects the format and handles mixed-format files.
Quick Search delivers answers in under 5 seconds for simple queries. AI Insights analysis, which scans for crashes, ANRs, and patterns, completes in 3-4 minutes. Deep Research investigations that trace root causes through multiple log entries take 5-10 minutes depending on the complexity of the issue.
Our AI detects crashes with full stack traces linked to source code, ANRs with thread dumps showing the blocked thread, uncaught exceptions with context, memory pressure and GC thrashing, performance issues like slow frames and jank, and custom error patterns specific to your app. Issues are ranked by severity with direct links to the relevant log lines.
Capture logs using adb logcat > file.txt from command line, export from Android Studio's Logcat window (File → Export), collect from CI/CD test runs (Firebase Test Lab, BrowserStack, etc.), or extract from bugreports. We also support logs from third-party crash reporting tools like Crashlytics and Sentry.
Your log data is encrypted in transit (TLS 1.3) and at rest (AES-256), processed in your own tenant, and never used to train AI models. Files are deleted after 90 days, or immediately from your dashboard. Enterprise plans offer on-premise deployment for regulated or air-gapped environments.
Yes: optimized for large files with streaming upload and efficient indexing. Our indexing engine handles millions of log lines without performance degradation.
A logcat is mostly noise. The three lines that explain a crash are rarely next to each other, and never next to the crash.
Stop grepping. Start understanding.
Upload your logs and let logcat.ai surface the root cause.