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Timestamped Lyrics Synced to Your Music - Imagera AI
Timestamped Lyrics

Timestamped Lyrics
Synced to Your Music

Get time-synced lyrics for your track

30 credits (~$0.90) per generation · No subscription required

Commercial license500+ AI modelsNo watermarks
  • 16K output
  • 500+ AI models
  • No watermark
  • Commercial license
  • Pay-per-use
What does Timestamped Lyrics do?
Quick Answer:

Get time-synced lyrics for your track

Hear it in action

Outputs

Generated music 1

Generated music 2

Why Choose Us

Powered by cutting-edge AI technology that delivers unmatched quality and performance

Precise Timestamps

Every lyric line is matched to its exact position in the track with millisecond accuracy.

Instant Results

Synchronous processing means results appear immediately — no waiting for callbacks.

30 Credits

Instant synchronous results with no waiting.

Karaoke Ready

LRC format is directly compatible with karaoke systems and media players.

Timestamped Lyrics specs — format, speed, and what it fits

The LRC output is plain text you can convert and edit. Here is what it gives you.

SpecDetail
Output formatLRC — plain text with an [mm:ss.xx] timestamp per line
SpeedInstant (synchronous) — no background job to wait on
Timing precisionLine-level, to the hundredth of a second
Converts toSRT or VTT subtitles for any video editor
Best inputA library track with clear, prominent vocals
Credits30 credits per extraction

See it in action

A vocalist gripping a microphone stand mid-performance, mouth open in song, eyes closed, dramatic single spotlight cutting through a dark stClose-up of a songwriter's hand writing lyrics with a pencil in a worn spiral notebook on a wooden cafe table, warm afternoon light, coffee A young woman singing into a studio microphone in a warmly lit vocal booth, headphones on one ear, expressive face caught mid-lyricA choir of singers in a softly lit church, mouths open in unison, warm light from stained glass falling across their facesHands cupped around a microphone at an intimate open-mic night, performer leaning in, dim bar lighting with bokeh string lights behind

What Timestamped Lyrics Does — and Who Reaches for It

Timestamped Lyrics takes a song you have already made inside Imagera's Music Factory and returns a time-synced lyric file: every sung line paired with the exact moment it begins in the track. The output arrives as an LRC file, the plain-text standard that karaoke systems, media players, and lyric-scroll widgets read to highlight words in step with the audio. You are not typing lyrics into a box and guessing where they land — the tool reads the vocal in your generated track and attaches a precise timestamp to each line for you.

The people who reach for this are usually one step past a finished song. A creator has generated a track with vocals and now wants a lyric video where words appear on beat. A short-form editor needs captions that sit exactly on the sung line instead of nudging text around by ear. Someone building a karaoke display wants scrolling words that light up as each phrase hits. Others simply want an in-app lyric view for a release, or on-screen captions for accessibility. In every one of those cases the missing piece is the same: not the lyrics themselves, which they already have, but the timing that maps each line to the audio.

Because this feature works from a track that lives in your Music Factory library rather than an arbitrary upload, it already knows where each vocal line sits in the arrangement it helped create. That inside knowledge is what makes the sync feel tight. It is a reading-and-timing tool, not a generation tool — it does not write new lyrics, remix the song, or change a note. It converts a song you own into a synced, editable lyric file you can carry into whatever comes next.

How It Works, Step by Step

The workflow is short by design. First, pick a track that already exists in your Music Factory library — one you generated with vocals. You do not upload a fresh audio file here; the tool operates on songs you have already made, which is part of why the timing lands so cleanly. Select the track, run the extraction, and the request completes in the same call rather than kicking off a background job you have to wait on.

Under the hood, the tool reads the vocal line by line and stamps each lyric with a timestamp in the [mm:ss.xx] format — minutes, seconds, and hundredths of a second. A line might come back as [00:12.40] followed by the words sung at that instant. It hands you the finished LRC straight back, because there are no frames to render and no vocals to synthesise; the audio already exists, so there is nothing to wait on. Most people have the file in hand within moments of clicking.

From there the LRC is yours to use or refine. Because it is plain text, you can open it in any editor: fix a typo by changing the words after a bracket, or shift a line earlier or later by editing the numbers inside the bracket. That means you are never locked into the exact output — if one line should appear a beat sooner on your karaoke display, you nudge a single timestamp by a few hundredths of a second instead of regenerating anything. Each extraction costs a small number of credits, and since the result is a lightweight text file rather than rendered media, it is quick and inexpensive to run compared to audio or video generation.

Tips for the Tightest Lyric Sync

The single biggest factor in a clean result is the vocal itself. The tool aligns words to a sung line, so a track with clear, prominent vocals gives the tightest timing. Songs with dense mixes or heavily processed vocals still work, but a forward, well-defined vocal leaves the least room for ambiguity about where each line begins. Instrumental-only tracks have nothing to time-stamp, so they are not suitable input — there are no lyrics to align.

If you have a busy mix and want the cleanest possible timing, isolate the vocal first. Running the track through Imagera's Vocal Separator to pull the vocal forward, then time-stamping the original, can help the lines land more precisely when a track has a very quiet or heavily effected voice. Vocal language does not get in the way: the tool follows whatever is sung, marking where each line lands regardless of language, since the alignment is driven by the audio rather than by a separate text you type in.

Finally, treat the LRC as a starting point you can polish rather than a final render. If a line reads a touch early or late in one particular player, that is usually a difference in how that player interprets the lead-in rather than an error in the file. Open the LRC, adjust the one timestamp in question, and you are done. Keeping a copy of each LRC next to its audio also makes it painless to reuse the timing across a lyric video, a karaoke build, and an in-app player without extracting it again.

Real Scenarios Where Synced Lyrics Earn Their Keep

The most common use is a lyric video. You generate a song, extract its timestamped lyrics, and drop the words onto the video so each line appears exactly when it is sung. Because every LRC line already carries its own start time, the timing scheme travels cleanly into subtitle formats — LRC converts into SRT or VTT, the two subtitle files every video editor understands. That means you map one timing scheme to another instead of hand-aligning captions phrase by phrase, which is the tedious part of subtitling audio manually.

Karaoke is the other headline use. Pair the LRC with the instrumental stem from Vocal Separator: play the instrumental as the backing track and feed the LRC into any karaoke or lyric-scroll player. As the instrumental plays, the player uses the LRC timestamps to highlight each line right as the singer would hit it. An instrumental bed plus synced words is the entire recipe for a karaoke version of a song you generated in Music Factory — no manual alignment involved.

Beyond those two, synced lyrics power in-app lyric scrolling for a release, accessibility captions so viewers can read along, and clean short-form clips where the words track the beat. For a full release, a practical rhythm is to generate every song first, finalise them, and only then time-stamp the whole set in one sitting. Because the tool is synchronous and returns a small text file, you can move through a set of tracks quickly without waiting on background jobs between them, so every track ships with its synced lyrics ready to go.

What Sets Imagera's Approach Apart

Most tools that sync lyrics have to guess. They take an audio file they know nothing about, run speech recognition, and estimate where each word probably lands. Imagera's Timestamped Lyrics starts from a very different position: it works on a track that already lives in your Music Factory library, generated inside the same system. That means it has strong information about where each vocal line begins rather than reverse-engineering it from an unfamiliar recording, and that context is a large part of why the line-level timing feels dependable.

It is also unusually fast in the context of a music suite. Most Music Factory tools create new audio and run asynchronously — you start a job and wait for a callback. Timestamped Lyrics only reads an existing track and returns text, so it runs synchronously and hands the LRC straight back in the same request. There is nothing to render, so there is nothing to wait on. For anyone timing a batch of songs before a release, that difference compounds quickly across a full set.

The last differentiator is that everything stays inside one library. You can generate a song, optionally separate its vocals, and then time-stamp it without ever exporting and re-importing between tools, so the same track carries through from first draft to synced lyrics. And because the deliverable is human-readable LRC rather than a locked-down proprietary file, you keep full control — edit the words, nudge a timestamp, or convert to subtitles, all in plain text you can open anywhere.

Questions People Ask Before Their First Extraction

How accurate is the timing? Each line is stamped to the hundredth of a second, which is the resolution LRC itself supports, and because the tool works from a track the system already generated, it has strong information about where every vocal line begins. Line-level timing at that resolution is comfortably precise for karaoke scrolling and lyric videos, and if a single line ever needs a nudge, you edit that one timestamp in the plain-text file. What input do I need? A library track with clear, prominent vocals — the tool reads a sung line, so an instrumental-only track has nothing to align.

Can I use it for subtitles, and can I edit the result? Yes to both. LRC line timestamps convert cleanly into SRT or VTT for any video editor, so lyrics appear on beat without hand-aligning captions. And because the output is plain text, you can open it in any editor to fix a typo after a bracket or shift a line by changing the numbers inside it — you are never locked into the exact output. What does it cost, and can I re-run it? Each extraction uses a small number of credits, and Imagera's plans include credits that do not expire, so you can time-stamp any eligible track in your library and re-run it whenever you want a fresh copy of the LRC.

Why is it instant when other tools take time? Because it analyses audio that already exists rather than generating new music. There are no vocals to synthesise and no frames to render — only lyric lines to time-stamp — so the request completes in the same call and returns the LRC immediately. That combination of instant results, editable output, and timing grounded in a track you generated is what makes it a natural final step before you publish a lyric video, build a karaoke version, or ship a release with synced words on every song.

Built by the Imagera AI team

Built by the Imagera AI Team

AI researchers, engineers & content specialists

Imagera is a unified AI creation platform for images, video, voice and avatars. Outputs ship at up to 16K resolution with no watermark and a commercial license included — choose from 500+ AI models in a single workspace.

16K output500+ AI modelsCommercial license included

Frequently Asked Questions

Everything you need to know about Timestamped Lyrics

Pick a track that already lives in your Music Factory library and the AI reads its vocal line by line, attaching a precise timestamp to each lyric. It returns the result instantly as an LRC file — the standard format that karaoke systems and media players use to scroll and highlight words in time with the audio. Because it works from a track you generated rather than an upload, it already knows exactly where every sung line sits, which is what makes the sync tight.

LRC is a plain-text format for time-synced lyrics. Every line starts with a timestamp in [mm:ss.xx] brackets — minutes, seconds, and hundredths of a second — followed by the words sung at that moment. For example, a line might read [00:12.40]Every night I dream of you. Any media player, karaoke app, or subtitle tool that understands LRC will read those brackets and highlight or scroll each line exactly when it plays, so you do not have to align anything by hand.

This is one of the few Music Factory features that runs synchronously. Instead of starting a background job and waiting for a callback, the request completes in the same call and hands the LRC straight back to you. It can do this because it is analysing audio that already exists rather than generating new music — there are no frames to render or vocals to synthesise, only lyric lines to time-stamp, so there is nothing to wait on.

Most Music Factory tools create new audio and run asynchronously; Timestamped Lyrics only reads an existing track and returns text, instantly. The table below shows where it sits relative to the tools people usually pair it with — you would typically generate a song with <a href="https://imagera.ai/audio/music-factory/generate">Generate Music</a>, optionally strip the backing with <a href="https://imagera.ai/audio/music-factory/separate-vocals">Vocal Separator</a>, then run Timestamped Lyrics to get the synced words:<br/><br/><table style="width:100%;border-collapse:collapse;font-size:14px"><thead><tr style="border-bottom:1px solid rgba(255,255,255,0.2)"><th style="text-align:left;padding:8px">Feature</th><th style="text-align:left;padding:8px">Output</th><th style="text-align:left;padding:8px">Speed</th><th style="text-align:left;padding:8px">Credits</th></tr></thead><tbody><tr style="border-bottom:1px solid rgba(255,255,255,0.1)"><td style="padding:8px">Timestamped Lyrics</td><td style="padding:8px">LRC synced text</td><td style="padding:8px">Instant (synchronous)</td><td style="padding:8px">30</td></tr><tr style="border-bottom:1px solid rgba(255,255,255,0.1)"><td style="padding:8px">Generate Music</td><td style="padding:8px">2 audio tracks</td><td style="padding:8px">Background job</td><td style="padding:8px">30</td></tr><tr style="border-bottom:1px solid rgba(255,255,255,0.1)"><td style="padding:8px">Vocal Separator</td><td style="padding:8px">Vocal + instrumental stems</td><td style="padding:8px">Background job</td><td style="padding:8px">30</td></tr><tr><td style="padding:8px">Music Video</td><td style="padding:8px">MP4 video</td><td style="padding:8px">Background job</td><td style="padding:8px">100</td></tr></tbody></table>

Yes. LRC line timestamps convert cleanly into SRT or VTT — the two subtitle formats every video editor understands — so you can drop your song's lyrics onto a music video or a lyric video as captions that appear exactly on beat. Because each LRC line already carries its own start time, you are only mapping one timing scheme to another rather than nudging captions around by ear, which is the tedious part of subtitling audio by hand.

Pair Timestamped Lyrics with the instrumental stem from <a href="https://imagera.ai/audio/music-factory/separate-vocals">Vocal Separator</a>: play the instrumental as the backing track and feed the LRC into any karaoke or lyric-scroll player. As the instrumental plays, the player uses the LRC timestamps to highlight each line right as the singer would hit it. That combination — an instrumental bed plus synced words — is the whole recipe for a karaoke version of a song you generated in Music Factory.

Timestamps are placed to the hundredth of a second per line, which is the resolution LRC itself supports, and because the feature works from a track the system already generated it has strong information about where each vocal line begins. Line-level timing is more than precise enough for karaoke scrolling and lyric videos. If a particular line ever looks a touch early or late in your player, that is usually a difference in how the player interprets the lead-in rather than an error in the file, and you can nudge that single timestamp by editing the plain-text LRC.

Run it on a Music Factory track that has clear, prominent vocals, because the feature is aligning words to a sung line. Tracks with dense mixes or heavily processed vocals still work, but a clean vocal gives the tightest alignment. Instrumental-only tracks have no lyrics to time-stamp, so they are not suitable input. If you have a song with a busy mix and want the cleanest lyric timing, separate the vocal first, then time-stamp the original track.

Each extraction costs 30 credits, with plans starting at $19.99 and credits included. You can run it on any eligible track in your library, and you can re-run it if you want a fresh copy of the LRC. Because the output is a small text file rather than rendered media, extractions are quick and inexpensive relative to audio or video generation, which makes it practical to time-stamp a whole set of tracks before publishing.

Yes, and it is easy because LRC is plain text. Open the file in any text editor and you will see one line per lyric, each led by a bracketed timestamp. To fix a typo, edit the words after the bracket; to shift a line earlier or later, change the numbers inside the bracket. This means you are never locked into the exact output — if you want a line to appear a beat sooner on your karaoke display, you nudge one timestamp by a few hundredths of a second rather than regenerating the whole file. Keeping the format human-readable is one of the reasons LRC has stayed the standard for synced lyrics.

Run the extraction on each track one at a time, saving each LRC alongside its audio. Because the feature is synchronous and returns a small text file, you can move through a set of tracks quickly without waiting on background jobs between them. A common workflow for a release is to generate every song first with <a href="https://imagera.ai/audio/music-factory/generate">Generate Music</a>, review and finalise them, and only then time-stamp the whole set in one sitting so that every track ships with its synced lyrics ready for lyric videos, a karaoke build, or an in-app player.

The feature aligns the words that are sung in the track, so it follows whatever language the vocal is in — the timestamps mark where each line lands regardless of language. What matters most for a clean result is that the vocal is clearly audible and sits reasonably forward in the mix, because the alignment is driven by the sung line rather than by a separate text you type in. If a track has a very quiet or heavily effected vocal, isolating that vocal first with <a href="https://imagera.ai/audio/music-factory/separate-vocals">Vocal Separator</a> before you time-stamp the original can help the lines land more precisely.

Ready to Try Timestamped Lyrics?

Timestamped Lyrics
with AI

Get time-synced lyrics for your track

30 credits (~$0.90) per generation · No subscription required

AI-generated music is created using Imagera music engines. Results may vary. All outputs include commercial usage rights. Credits are consumed at the time of generation.

What are Timestamped Lyrics?

Time-synced lyrics extracted from a Music Factory track in LRC format, with a precise [mm:ss.xx] timestamp on every line so players can scroll and highlight words in time with the audio.

How much does it cost?

30 credits per extraction, with plans starting at $19.99 and credits included. The output is a small text file, so it is quick and inexpensive to run.

Is it synchronous?

Yes. It runs synchronously and returns the LRC instantly, because it analyses an existing track rather than generating new audio — there is nothing to render or wait on.

What input does it need?

A track already in your Music Factory library that has clear vocals. It works from a generated track, not an upload, and instrumental-only tracks have no lyrics to time-stamp.

What are the main use cases?

Karaoke displays, video subtitles (via SRT/VTT), lyric videos, in-player lyric scrolling, and accessibility captions.

How do I turn it into subtitles?

LRC line timestamps convert cleanly into SRT or VTT, the subtitle formats every video editor reads, so lyrics appear on beat without hand-aligning captions.

How do I make a karaoke version?

Combine the LRC with the instrumental stem from Vocal Separator: play the instrumental and feed the LRC to any karaoke player, which highlights each line as it is sung.

How accurate is the timing?

Line timestamps are placed to the hundredth of a second, the resolution LRC supports, which is more than precise enough for karaoke and lyric videos.