Log Voyager - Find errors in huge logs without uploading them

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Log Voyager analyzes large log files locally in your browser. The new release detects common log formats, maps timestamped events on an interactive timeline, and groups repeated errors into useful signatures. Files stay on your device. No account, upload, or installation required.

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Hi Product Hunt, I built Log Voyager because inspecting a production log should not require uploading it to another company. The first version focused on opening and searching large files locally. Version 2.1 adds the analysis features I kept missing during real debugging sessions: • automatic detection for JSONL, Docker, Kubernetes CRI, Nginx, Apache and syslog • an interactive timeline that shows warning and error spikes • grouping of repeated errors while ignoring changing timestamps, IDs and IP addresses • improved light and dark themes across the analyzer and documentation Log Voyager reads small file slices instead of loading the entire file into memory. This lets it start working with multi-gigabyte logs quickly while keeping the source file on your device. It is free, MIT licensed, requires no account and works offline after the PWA is cached. I would especially like feedback on the timeline and error grouping. What information do you normally need first when investigating an unfamiliar log?