Play your LRC alongside the audio
Drop an audio file and its LRC, then watch each line highlight in time. Spot drift, missed lines, or off-tempo verses before you ship — all in your browser, nothing uploads.
Input
Audio + LRC
Both files, your browser
Output
Live highlighting
Click to seek · auto-scroll
- Runs 100% in your browser — nothing uploads
- No signup required
Drop an LRC file to see synced lyrics here.
See it in action
Verify timing line-by-line
What you put in → what you get back
Audio + LRC
What you provide
▶ yesterday.mp3 (2:05) [ti:Yesterday] [ar:The Beatles] [00:08.12]Yesterday [00:11.45]All my troubles seemed so far away [00:15.78]Now it looks as though they're here to stay
Live highlight playback
What you receive
0:08 ▸ Yesterday ◀ active 0:11 All my troubles seemed so far away 0:15 Now it looks as though they're here to stay 0:20 Oh, I believe in yesterday ▶ click any line to seek · auto-scrolls
Step-by-step guide
How to use this tool
- 01
Load audio
Pick an MP3, WAV, FLAC, or OGG file. The audio stays in your browser.
- 02
Load the LRC
Standard or Enhanced LRC both work. We parse metadata tags ([ti], [ar]) automatically.
- 03
Hit play
The active line highlights in real time and auto-scrolls to the center of the viewport.
- 04
Spot & fix drift
Click any line to jump there. Use the timeline to verify line starts to within 50 ms.
Key features
Why use this tool
Auto-scrolling timeline
The active line stays centered as the song plays, so you always see context above and below.
Click-to-seek
Click any lyric line to jump the player there — perfect for reviewing problem lines repeatedly.
Zero upload
Both audio and LRC stay in your browser. Use it for confidential demo tracks safely.
Metadata aware
Reads [ti], [ar], [al] tags from the LRC and shows them in the player UI.
Common use cases
Who this tool is for
Final QA
Run through every LRC before publishing to catch subtle drift on long tracks.
Manual sync verification
Confirm your hand-tagged LRC actually plays cleanly at song speed.
Lyric study
Read along to songs in unfamiliar languages with the words moving in real time.
Questions answered