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Audio to Lyrics — Transcribe Any Song to Text with AI

Upload an MP3, WAV or FLAC and get the full lyrics in seconds — works on unreleased songs, demos, covers and voice memos. 17 languages. 100% free.

Upload Your Audio File

Drag and drop your audio file here

or

Max 12 min • MP3, WAV, OGG, M4A, FLAC
Supported: MP3, WAV, OGG, FLAC, M4A, AAC, WebM · Up to 12 min

Why Use Our Free Audio to Lyrics AI?

Works on Any Song

Transcribes unreleased tracks, demos, covers, voice memos and songs you wrote yourself — not just famous hits in a database like Shazam or Genius.

State-of-the-Art AI

Our AI model is trained specifically on sung vocals, rap and spoken word across dozens of genres. Transcription typically finishes in under 20 seconds.

17+ Languages Auto-Detected

English, French, Spanish, German, Italian, Portuguese, Japanese, Korean, Chinese, Arabic, Russian and more — or leave it on auto and let the AI figure it out.

100% Private & Free

No signup, no credit card, no storage. Audio is downsampled in your browser, processed in-memory, and instantly discarded.

How the Audio to Lyrics Transcription Works

Getting full song lyrics from any audio file takes five simple steps. The whole process runs in your browser and on a GPU cluster — no app to install, no account to create, no upload queue to wait for.

  1. 1

    Drop your audio file

    Drag and drop an MP3, WAV, FLAC, OGG or M4A file — or a video file with an audio track. Everything up to 12 minutes is accepted.

  2. 2

    Pick a language (or auto-detect)

    Select the language of the vocals from the dropdown. Leave it on Auto-detect and the AI will identify the language in the first few seconds.

  3. 3

    Your browser downsamples the audio

    The Web Audio API decodes your file locally and converts it to 16 kHz mono — the AI's native format — keeping upload size tiny and your original file private.

  4. 4

    Our AI transcribes the vocals

    The audio is processed by our state-of-the-art AI transcription engine on high-performance inference infrastructure. A 3-minute song is transcribed in 3-5 seconds.

  5. 5

    Copy, download or share your lyrics

    The full lyrics appear in a scrollable panel with detected language and duration. Click Copy Lyrics or Download .txt to save them anywhere — Notion, Word, your DAW, your lyric sheet, your karaoke app.

Who Uses Audio to Lyrics Transcription?

AI lyrics transcription solves a problem that song databases never could: getting the words out of a song that isn't indexed anywhere. Here are the most common ways our users put it to work.

🎤 Songwriters transcribing their own demos

Record a rough vocal idea on your phone, drop it here, and get a clean lyric sheet to edit in your songwriting app.

🎧 Producers analyzing sample vocals

Need to know what a vocal sample actually says before clearing it or re-chopping it? Transcribe and read.

🎹 Beatmakers writing toplines

Hear a melody you want to reference? Transcribe the lyric structure and phrasing to guide your own topline.

🎓 Music students studying lyrics

Analyze rhyme schemes, meter and lyrical imagery of any song — even tracks that don't appear on Genius.

🌍 Language learners

Transcribe foreign-language songs to read along while listening — a proven way to improve vocabulary and pronunciation.

🎙️ Podcasters & content creators

Extract text from jingles, sung intros, musical segments or interview clips for show notes and blog posts.

🎉 Karaoke night prep

Pair with our Vocal Remover to build a full DIY karaoke kit: instrumental + lyric sheet, ready in two minutes.

♿ Accessibility & transcription

Hard of hearing and deaf users can read the full lyrics of any audio track. Also great for subtitling musical content.

Supported Languages for Lyrics Transcription

Our AI model handles 17 languages out of the box with automatic detection, and can work on 100+ languages in total. Pick one from the dropdown or leave it on Auto — the model will identify the language in the first few seconds of singing.

🇬🇧 English lyrics
🇫🇷 French lyrics
🇪🇸 Spanish lyrics
🇩🇪 German lyrics
🇮🇹 Italian lyrics
🇵🇹 Portuguese lyrics
🇳🇱 Dutch lyrics
🇯🇵 Japanese lyrics
🇰🇷 Korean lyrics (K-pop)
🇨🇳 Chinese lyrics
🇸🇦 Arabic lyrics
🇷🇺 Russian lyrics
🇵🇱 Polish lyrics
🇹🇷 Turkish lyrics
🇸🇪 Swedish lyrics
🇺🇦 Ukrainian lyrics
🇮🇳 Hindi lyrics

AI Audio to Lyrics vs. Lyrics Databases (Shazam, Genius, Musixmatch)

Traditional lyrics services only return lyrics for songs that someone has already added to a database. If a track is unreleased, obscure or too new, they simply don't have it. AI transcription works from the audio itself — so it works on any song with vocals, indexed or not.

Feature RemoveVocals (AI) Shazam / Genius
Works on unreleased songs & demos
Works on your own recordings
Works on covers & live versionsPartial
Multi-language auto-detection17+Per-song
Upload your own audio file
No signup, no accountSignup
Download as .txtCopy only
Completely freeAds/freemium

The Complete Guide to AI Lyrics Transcription from Audio

Last updated: April 10, 2026 · Reading time: 6 min · By the RemoveVocals Team

What is Audio to Lyrics AI? Audio to Lyrics AI is a free online tool that uses artificial intelligence to transcribe sung vocals from any audio file (MP3, WAV, FLAC, OGG, M4A) into full written lyrics. It works in 17 languages with automatic detection, handles unreleased songs and demos, and returns results in under 20 seconds — no signup required.

For years, the only way to get lyrics was to look them up on a lyrics database like Genius, AZLyrics or Musixmatch — which works great when the song is famous, and completely fails when it isn't. If you're a songwriter with a 30-second voice memo, a producer working with a custom topline recording, a beatmaker chopping an obscure sample, or simply someone with an unmarked MP3 from an old hard drive, lyrics databases are useless. You need an AI that listens to the audio and writes down what it hears.

That's exactly what our free Audio to Lyrics AI does. We use a state-of-the-art speech recognition model specifically trained on millions of hours of multilingual singing, rap, spoken word, podcast and broadcast audio. It handles sung vocals with impressive accuracy — around 4-7% Word Error Rate on clean studio takes, 10-15% on fully mixed and mastered commercial tracks. That's competitive with a fast human transcriber, and it finishes in seconds instead of hours.

Here's how the whole thing fits together. When you drop a file onto the page, your browser uses the Web Audio API to decode the audio locally — nothing is uploaded yet. It then resamples the waveform to 16 kHz mono — the AI's native input format — and packs it into a lightweight WAV blob. Only that tiny downsampled version leaves your machine, over HTTPS, to our transcription endpoint. The audio is processed in-memory, the transcription comes back as JSON, and the original file stays on your computer. We don't store, log, or train on anything.

Once the lyrics are on screen, you'll see them split into natural paragraph breaks wherever the singer pauses for more than a beat or two — perfect for reading, singing along, or pasting into a DAW session notes panel. One click copies everything to your clipboard, another click downloads a plain .txt file you can open in any text editor. If you need to edit and share, paste them into Google Docs, Notion, or your favorite songwriting app.

To get the best possible accuracy, keep a few things in mind. First, cleaner vocals always transcribe better — if the song has very loud instrumentals that mask the singer, running the file through our Vocal Remover first to isolate the vocal stem can dramatically improve results. Second, extreme autotune, heavy pitch correction, breathy vocals and screaming can confuse the model; normal singing, rap and spoken delivery work best. Third, for foreign-language tracks, forcing the language via the dropdown often gives a little more accuracy than auto-detect, especially if the intro is instrumental.

Key Takeaways

  • Works on any audio — including unreleased songs, demos, voice memos and covers (unlike Shazam/Genius, which require a database match).
  • 17 languages with auto-detection — English, French, Spanish, German, Italian, Portuguese, Japanese, Korean, Chinese, Arabic and more.
  • Typical accuracy: 90-96% on clean vocals, 85-90% on mixed tracks — comparable to a professional human transcriber (source: academic WER benchmarks for state-of-the-art speech recognition, 2023).
  • Finishes in under 20 seconds for a typical 3-4 minute song.
  • 100% private — audio is downsampled client-side, processed in-memory, and immediately discarded. Nothing stored, nothing logged.
  • Completely free — no signup, no credit card, no trial, no watermark.

About the RemoveVocals Team

RemoveVocals is a suite of free, browser-based audio tools built by a small team of audio engineers, music producers and ML practitioners. We ship and maintain vocal removal, stem splitting, key detection, BPM detection, AI mastering, audio conversion and now lyrics transcription — all running entirely in your browser or on our zero-retention inference endpoints. We've been building audio tooling since 2024 and serve thousands of songwriters, producers, beatmakers and vocal coaches every day. Questions, feedback or partnerships: learn more about us.

This tool is part of a full suite of free browser-based audio utilities. After you transcribe your lyrics, you can remove the vocals to make a karaoke instrumental, transpose the key to fit your voice, detect the tempo and musical key for re-production, cut the track down to just the chorus, or master it for release. Nothing is uploaded, nothing is stored, and everything is free forever. For more background on AI audio tools and workflows, check our blog.

Frequently Asked Questions about Audio to Lyrics Transcription

How do I transcribe lyrics from an audio file?

Upload your audio file (MP3, WAV, FLAC, OGG or M4A) to RemoveVocals's Audio to Lyrics tool. Our AI automatically transcribes the vocals into text, detects the language, and returns the full lyrics in seconds. There is no signup, no credit card and no software to install.

Can this tool transcribe lyrics from unreleased songs or demos?

Yes. Unlike Shazam, Genius or Musixmatch which only work with songs already in a public database, our tool transcribes the actual audio — so it works on unreleased tracks, rough demos, voice memos, covers, live recordings and even tracks you wrote yourself yesterday. This is the main reason songwriters, producers and beatmakers use it.

Is the audio to lyrics converter really free?

Yes, 100% free with no signup, no credit card, no trial, no watermark and no hidden fees. Transcribe unlimited songs and download all the lyrics you want.

Which languages are supported for lyrics transcription?

We support 17 languages out of the box with automatic detection: English, French, Spanish, German, Italian, Portuguese, Dutch, Japanese, Korean, Chinese, Arabic, Russian, Polish, Turkish, Swedish, Ukrainian and Hindi. Our AI engine supports 100+ languages under the hood.

How accurate is AI lyrics transcription compared to human transcription?

Our AI has a Word Error Rate around 4-7% on clean studio vocals and 10-15% on mixed/mastered tracks with instruments, comparable to a fast human transcriber. Accuracy is highest when vocals are clearly in the foreground. For even better results, run your song through our Vocal Remover first to isolate the vocals.

What audio formats can I upload?

MP3, WAV, FLAC, OGG, M4A, AAC, WebM and most common audio containers, plus audio extracted from MP4/MOV videos. Your browser decodes the file locally and sends only a downsampled 16 kHz mono version to the server, keeping uploads small.

What is the maximum song length I can transcribe?

Up to 12 minutes per upload, which covers 99% of commercial songs. For longer tracks (podcasts, DJ sets, full albums) split the file with our free Audio Cutter first, then transcribe each section separately.

Is my audio file private and secure?

Yes. The audio is downsampled inside your browser, sent over HTTPS to our transcription endpoint, processed in-memory, and immediately discarded. We do not store your audio, we do not share it with anyone, and nothing is ever used for model training. No account, no logs, no history.

Can I copy the lyrics or download them as a text file?

Yes. Once the lyrics appear, one click copies them to your clipboard, another click downloads them as a .txt file. From there paste into a DAW, a songwriting app, Word, Google Docs, Notion, or share them directly with your producer or co-writer.

Does it work on sung vocals or only spoken words?

It works on sung vocals — that is its main purpose. Our AI model was trained on millions of hours of singing, rap, spoken word and podcast audio, so it handles pop, hip-hop, R&B, rock, electronic, country, indie and more. Heavy screaming, autotune or heavy pitch correction can reduce accuracy.

Can I transcribe a YouTube song or a Spotify track?

You cannot upload a direct link — but you can record the audio on your device with our free Voice Recorder or export the song to MP3 first, then upload it here. Please respect copyright and only use this with content you own or have the right to transcribe.

Can I use this for karaoke or singing practice?

Absolutely. Pair our Vocal Remover (to make a karaoke instrumental) with the Lyrics Finder (to get the words to sing) in the same session. Download the instrumental, download the .txt lyrics, hit play and sing along.

Can I transcribe lyrics from a movie, video or MP4 file?

Yes — most modern browsers decode the audio track from MP4 and WebM videos directly. Just drag the video file into the upload zone. If your browser refuses, use our Audio Converter to extract the audio to MP3 first.

Is this better than Shazam or Genius for lyrics?

It's different and complementary. Shazam, Genius, AZLyrics and Musixmatch give you pre-written lyrics for songs already in their database — great for famous tracks, useless for anything unreleased. Our tool generates the lyrics from the audio itself, so it works on any song with vocals, whether it's #1 on Billboard or a demo you recorded this morning.

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