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MelodAI

CICodeQLLicense: MITTypeScriptFlask

Open-source AI karaoke pipeline for vocal separation, timed lyrics, and synchronized playback.

Search for a song, and MelodAI separates vocals from instrumentals, extracts word-level timed lyrics, and presents a synchronized karaoke player.

Live demo · Security policy · Contributing

Player

How It Works

  1. Search for a song via Deezer's catalog
  2. Download and decrypt the audio
  3. Split vocals and instrumentals using Demucs (via Replicate)
  4. Transcribe lyrics with word-level timestamps using WhisperX (via Replicate)
  5. Process lyrics into karaoke lines using an LLM (via OpenRouter)
  6. Play with real-time word-highlighting, independent vocal/instrumental volume, and speaker colorization

Screenshots

LoginLibrary
LoginLibrary
Admin - SongsAdmin - Users
Admin SongsAdmin Users
Song DetailAbout
Song DetailAbout

Tech Stack

  • Backend: Python 3.12, Flask, SQLite
  • Frontend: React, TypeScript, Vite, CSS Modules
  • Audio: Web Audio API with dual GainNodes (vocals + instrumental)
  • AI Services: Replicate (Demucs, WhisperX), OpenRouter (LLM lyrics processing)
  • Song Source: Deezer

Setup

Prerequisites

  • Python 3.12+ with uv
  • Node.js 18+
  • API keys for: Replicate, OpenRouter, Deezer ARL cookie
  • Optional: Resend (for password reset emails)

Installation

# Clone and install dependencies
git clone <repo-url>&&cd MelodAI
uv sync
cd frontend && npm install

Configuration

Copy example.env to .env and fill in your API keys:

DEEZER_ARL=<your deezer ARL cookie>
REPLICATE_API_TOKEN=<your replicate token>
HF_READ_TOKEN=<your huggingface token>
OPENROUTER_API_KEY=<your openrouter key>
RESEND_API_KEY=<optional, for password reset emails>

Running

# Backend (port 5000)
uv run python main.py
# Frontend dev server (port 3000, proxies API to Flask)cd frontend && npm run dev
# Production build (serves from Flask directly)cd frontend && npm run build

Testing

All tests require Flask running on port 5000.

cd frontend && npm run test:e2e # Integration tests (62 tests)cd frontend && npm run test:browser # Puppeteer browser tests (32 tests)cd frontend && npm run test:pipeline # Live API pipeline test (~2.5 min)

Architecture

MelodAI/
main.py # Entry point
src/
app.py # Flask factory (create_app)
routes/
auth.py # Login, register, password reset
track.py # Search, process, play (6-stage pipeline)
admin.py # User/song management, analytics
static.py # SPA serving + song file serving
services/
deezer.py # Deezer API client + decryption
lyrics.py # LLM-based lyrics line splitting
utils/
helpers.py # Lyrics post-processing pipeline
frontend/
src/
hooks/usePlayer.ts # Core audio engine (Web Audio API)
components/Player/ # Karaoke display, controls
pages/ # Login, Library, Admin, About
services/api.ts # API client layer

Maintainer workflows

MelodAI has real ongoing maintenance surface area:

  • reviewing and testing frontend/player changes
  • triaging processing failures across Deezer, Replicate, WhisperX, and OpenRouter
  • hardening auth, admin routes, file serving, and credit accounting
  • improving release confidence with CI, integration tests, and browser tests
  • documenting operational edge cases for self-hosted deployments

Codex-style coding and review workflows are especially useful here because changes often span Python routes, external AI APIs, React state, audio playback, and end-to-end tests.

License

MIT — see LICENSE.

About

AI-powered karaoke web app with vocal separation, timed lyrics, and synchronized playback

melodai.logge.top/about

Topics

aiaudio-processingflaskkaraokelyricsmusicopen-sourceopenrouterreactreplicatetypescript

Resources

Readme
MIT license

Contributing

Contributing

Security policy

Security policy
Activity

Stars

7 stars

Watchers

1 watching

Forks

1 fork
Report repository

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
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GitHub - LoggeL/MelodAI: AI-powered karaoke web app with vocal separation, timed lyrics, and synchronized playback · GitHub
Skip to content
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MelodAI
CICodeQLLicense: MITTypeScriptFlask
Open-source AI karaoke pipeline for vocal separation, timed lyrics, and synchronized playback.
Search for a song, and MelodAI separates vocals from instrumentals, extracts word-level timed lyrics, and presents a synchronized karaoke player.
Live demo · Security policy · Contributing
Player
How It Works
  1. Search for a song via Deezer's catalog
  2. Download and decrypt the audio
  3. Split vocals and instrumentals using Demucs (via Replicate)
  4. Transcribe lyrics with word-level timestamps using WhisperX (via Replicate)
  5. Process lyrics into karaoke lines using an LLM (via OpenRouter)
  6. Play with real-time word-highlighting, independent vocal/instrumental volume, and speaker colorization
Screenshots
LoginLibrary
LoginLibrary
Admin - SongsAdmin - Users
Admin SongsAdmin Users
Song DetailAbout
Song DetailAbout
Tech Stack
  • Backend: Python 3.12, Flask, SQLite
  • Frontend: React, TypeScript, Vite, CSS Modules
  • Audio: Web Audio API with dual GainNodes (vocals + instrumental)
  • AI Services: Replicate (Demucs, WhisperX), OpenRouter (LLM lyrics processing)
  • Song Source: Deezer
Setup
Prerequisites
  • Python 3.12+ with uv
  • Node.js 18+
  • API keys for: Replicate, OpenRouter, Deezer ARL cookie
  • Optional: Resend (for password reset emails)
Installation
# Clone and install dependencies
git clone <repo-url>&&cd MelodAI
uv sync
cd frontend && npm install
Configuration
Copy example.env to .env and fill in your API keys:
DEEZER_ARL=<your deezer ARL cookie>
REPLICATE_API_TOKEN=<your replicate token>
HF_READ_TOKEN=<your huggingface token>
OPENROUTER_API_KEY=<your openrouter key>
RESEND_API_KEY=<optional, for password reset emails>

Running
# Backend (port 5000)
uv run python main.py
# Frontend dev server (port 3000, proxies API to Flask)cd frontend && npm run dev
# Production build (serves from Flask directly)cd frontend && npm run build
Testing
All tests require Flask running on port 5000.
cd frontend && npm run test:e2e # Integration tests (62 tests)cd frontend && npm run test:browser # Puppeteer browser tests (32 tests)cd frontend && npm run test:pipeline # Live API pipeline test (~2.5 min)
Architecture
MelodAI/
main.py # Entry point
src/
app.py # Flask factory (create_app)
routes/
auth.py # Login, register, password reset
track.py # Search, process, play (6-stage pipeline)
admin.py # User/song management, analytics
static.py # SPA serving + song file serving
services/
deezer.py # Deezer API client + decryption
lyrics.py # LLM-based lyrics line splitting
utils/
helpers.py # Lyrics post-processing pipeline
frontend/
src/
hooks/usePlayer.ts # Core audio engine (Web Audio API)
components/Player/ # Karaoke display, controls
pages/ # Login, Library, Admin, About
services/api.ts # API client layer

Maintainer workflows
MelodAI has real ongoing maintenance surface area:
  • reviewing and testing frontend/player changes
  • triaging processing failures across Deezer, Replicate, WhisperX, and OpenRouter
  • hardening auth, admin routes, file serving, and credit accounting
  • improving release confidence with CI, integration tests, and browser tests
  • documenting operational edge cases for self-hosted deployments
Codex-style coding and review workflows are especially useful here because changes often span Python routes, external AI APIs, React state, audio playback, and end-to-end tests.
License
MIT — see LICENSE.
About
AI-powered karaoke web app with vocal separation, timed lyrics, and synchronized playback
melodai.logge.top/about
Topics
aiaudio-processingflaskkaraokelyricsmusicopen-sourceopenrouterreactreplicatetypescript
Resources
Readme
MIT license
Contributing
Contributing
Security policy
Security policy
Activity
Stars
7 stars
Watchers
1 watching
Forks
1 fork
Report repository
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - LoggeL/MelodAI: AI-powered karaoke web app with vocal separation, timed lyrics, and synchronized playback · GitHub
Skip to content
BranchesTags
Repository files navigation
MelodAI
CICodeQLLicense: MITTypeScriptFlask
Open-source AI karaoke pipeline for vocal separation, timed lyrics, and synchronized playback.
Search for a song, and MelodAI separates vocals from instrumentals, extracts word-level timed lyrics, and presents a synchronized karaoke player.
Live demo · Security policy · Contributing
Player
How It Works
  1. Search for a song via Deezer's catalog
  2. Download and decrypt the audio
  3. Split vocals and instrumentals using Demucs (via Replicate)
  4. Transcribe lyrics with word-level timestamps using WhisperX (via Replicate)
  5. Process lyrics into karaoke lines using an LLM (via OpenRouter)
  6. Play with real-time word-highlighting, independent vocal/instrumental volume, and speaker colorization
Screenshots
LoginLibrary
LoginLibrary
Admin - SongsAdmin - Users
Admin SongsAdmin Users
Song DetailAbout
Song DetailAbout
Tech Stack
  • Backend: Python 3.12, Flask, SQLite
  • Frontend: React, TypeScript, Vite, CSS Modules
  • Audio: Web Audio API with dual GainNodes (vocals + instrumental)
  • AI Services: Replicate (Demucs, WhisperX), OpenRouter (LLM lyrics processing)
  • Song Source: Deezer
Setup
Prerequisites
  • Python 3.12+ with uv
  • Node.js 18+
  • API keys for: Replicate, OpenRouter, Deezer ARL cookie
  • Optional: Resend (for password reset emails)
Installation
# Clone and install dependencies
git clone <repo-url>&&cd MelodAI
uv sync
cd frontend && npm install
Configuration
Copy example.env to .env and fill in your API keys:
DEEZER_ARL=<your deezer ARL cookie>
REPLICATE_API_TOKEN=<your replicate token>
HF_READ_TOKEN=<your huggingface token>
OPENROUTER_API_KEY=<your openrouter key>
RESEND_API_KEY=<optional, for password reset emails>

Running
# Backend (port 5000)
uv run python main.py
# Frontend dev server (port 3000, proxies API to Flask)cd frontend && npm run dev
# Production build (serves from Flask directly)cd frontend && npm run build
Testing
All tests require Flask running on port 5000.
cd frontend && npm run test:e2e # Integration tests (62 tests)cd frontend && npm run test:browser # Puppeteer browser tests (32 tests)cd frontend && npm run test:pipeline # Live API pipeline test (~2.5 min)
Architecture
MelodAI/
main.py # Entry point
src/
app.py # Flask factory (create_app)
routes/
auth.py # Login, register, password reset
track.py # Search, process, play (6-stage pipeline)
admin.py # User/song management, analytics
static.py # SPA serving + song file serving
services/
deezer.py # Deezer API client + decryption
lyrics.py # LLM-based lyrics line splitting
utils/
helpers.py # Lyrics post-processing pipeline
frontend/
src/
hooks/usePlayer.ts # Core audio engine (Web Audio API)
components/Player/ # Karaoke display, controls
pages/ # Login, Library, Admin, About
services/api.ts # API client layer

Maintainer workflows
MelodAI has real ongoing maintenance surface area:
  • reviewing and testing frontend/player changes
  • triaging processing failures across Deezer, Replicate, WhisperX, and OpenRouter
  • hardening auth, admin routes, file serving, and credit accounting
  • improving release confidence with CI, integration tests, and browser tests
  • documenting operational edge cases for self-hosted deployments
Codex-style coding and review workflows are especially useful here because changes often span Python routes, external AI APIs, React state, audio playback, and end-to-end tests.
License
MIT — see LICENSE.
About
AI-powered karaoke web app with vocal separation, timed lyrics, and synchronized playback
melodai.logge.top/about
Topics
aiaudio-processingflaskkaraokelyricsmusicopen-sourceopenrouterreactreplicatetypescript
Resources
Readme
MIT license
Contributing
Contributing
Security policy
Security policy
Activity
Stars
7 stars
Watchers
1 watching
Forks
1 fork
Report repository
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
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observer.observe(document.body, { childList: true, subtree: true });
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - LoggeL/MelodAI: AI-powered karaoke web app with vocal separation, timed lyrics, and synchronized playback · GitHub
Skip to content
BranchesTags
Repository files navigation
MelodAI
CICodeQLLicense: MITTypeScriptFlask
Open-source AI karaoke pipeline for vocal separation, timed lyrics, and synchronized playback.
Search for a song, and MelodAI separates vocals from instrumentals, extracts word-level timed lyrics, and presents a synchronized karaoke player.
Live demo · Security policy · Contributing
Player
How It Works
  1. Search for a song via Deezer's catalog
  2. Download and decrypt the audio
  3. Split vocals and instrumentals using Demucs (via Replicate)
  4. Transcribe lyrics with word-level timestamps using WhisperX (via Replicate)
  5. Process lyrics into karaoke lines using an LLM (via OpenRouter)
  6. Play with real-time word-highlighting, independent vocal/instrumental volume, and speaker colorization
Screenshots
LoginLibrary
LoginLibrary
Admin - SongsAdmin - Users
Admin SongsAdmin Users
Song DetailAbout
Song DetailAbout
Tech Stack
  • Backend: Python 3.12, Flask, SQLite
  • Frontend: React, TypeScript, Vite, CSS Modules
  • Audio: Web Audio API with dual GainNodes (vocals + instrumental)
  • AI Services: Replicate (Demucs, WhisperX), OpenRouter (LLM lyrics processing)
  • Song Source: Deezer
Setup
Prerequisites
  • Python 3.12+ with uv
  • Node.js 18+
  • API keys for: Replicate, OpenRouter, Deezer ARL cookie
  • Optional: Resend (for password reset emails)
Installation
# Clone and install dependencies
git clone <repo-url>&&cd MelodAI
uv sync
cd frontend && npm install
Configuration
Copy example.env to .env and fill in your API keys:
DEEZER_ARL=<your deezer ARL cookie>
REPLICATE_API_TOKEN=<your replicate token>
HF_READ_TOKEN=<your huggingface token>
OPENROUTER_API_KEY=<your openrouter key>
RESEND_API_KEY=<optional, for password reset emails>

Running
# Backend (port 5000)
uv run python main.py
# Frontend dev server (port 3000, proxies API to Flask)cd frontend && npm run dev
# Production build (serves from Flask directly)cd frontend && npm run build
Testing
All tests require Flask running on port 5000.
cd frontend && npm run test:e2e # Integration tests (62 tests)cd frontend && npm run test:browser # Puppeteer browser tests (32 tests)cd frontend && npm run test:pipeline # Live API pipeline test (~2.5 min)
Architecture
MelodAI/
main.py # Entry point
src/
app.py # Flask factory (create_app)
routes/
auth.py # Login, register, password reset
track.py # Search, process, play (6-stage pipeline)
admin.py # User/song management, analytics
static.py # SPA serving + song file serving
services/
deezer.py # Deezer API client + decryption
lyrics.py # LLM-based lyrics line splitting
utils/
helpers.py # Lyrics post-processing pipeline
frontend/
src/
hooks/usePlayer.ts # Core audio engine (Web Audio API)
components/Player/ # Karaoke display, controls
pages/ # Login, Library, Admin, About
services/api.ts # API client layer

Maintainer workflows
MelodAI has real ongoing maintenance surface area:
  • reviewing and testing frontend/player changes
  • triaging processing failures across Deezer, Replicate, WhisperX, and OpenRouter
  • hardening auth, admin routes, file serving, and credit accounting
  • improving release confidence with CI, integration tests, and browser tests
  • documenting operational edge cases for self-hosted deployments
Codex-style coding and review workflows are especially useful here because changes often span Python routes, external AI APIs, React state, audio playback, and end-to-end tests.
License
MIT — see LICENSE.
About
AI-powered karaoke web app with vocal separation, timed lyrics, and synchronized playback
melodai.logge.top/about
Topics
aiaudio-processingflaskkaraokelyricsmusicopen-sourceopenrouterreactreplicatetypescript
Resources
Readme
MIT license
Contributing
Contributing
Security policy
Security policy
Activity
Stars
7 stars
Watchers
1 watching
Forks
1 fork
Report repository
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
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document.querySelectorAll('a[href]').forEach(function(a) {
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observer.observe(document.body, { childList: true, subtree: true });
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} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - LoggeL/MelodAI: AI-powered karaoke web app with vocal separation, timed lyrics, and synchronized playback · GitHub
Skip to content
BranchesTags
Repository files navigation
MelodAI
CICodeQLLicense: MITTypeScriptFlask
Open-source AI karaoke pipeline for vocal separation, timed lyrics, and synchronized playback.
Search for a song, and MelodAI separates vocals from instrumentals, extracts word-level timed lyrics, and presents a synchronized karaoke player.
Live demo · Security policy · Contributing
Player
How It Works
  1. Search for a song via Deezer's catalog
  2. Download and decrypt the audio
  3. Split vocals and instrumentals using Demucs (via Replicate)
  4. Transcribe lyrics with word-level timestamps using WhisperX (via Replicate)
  5. Process lyrics into karaoke lines using an LLM (via OpenRouter)
  6. Play with real-time word-highlighting, independent vocal/instrumental volume, and speaker colorization
Screenshots
LoginLibrary
LoginLibrary
Admin - SongsAdmin - Users
Admin SongsAdmin Users
Song DetailAbout
Song DetailAbout
Tech Stack
  • Backend: Python 3.12, Flask, SQLite
  • Frontend: React, TypeScript, Vite, CSS Modules
  • Audio: Web Audio API with dual GainNodes (vocals + instrumental)
  • AI Services: Replicate (Demucs, WhisperX), OpenRouter (LLM lyrics processing)
  • Song Source: Deezer
Setup
Prerequisites
  • Python 3.12+ with uv
  • Node.js 18+
  • API keys for: Replicate, OpenRouter, Deezer ARL cookie
  • Optional: Resend (for password reset emails)
Installation
# Clone and install dependencies
git clone <repo-url>&&cd MelodAI
uv sync
cd frontend && npm install
Configuration
Copy example.env to .env and fill in your API keys:
DEEZER_ARL=<your deezer ARL cookie>
REPLICATE_API_TOKEN=<your replicate token>
HF_READ_TOKEN=<your huggingface token>
OPENROUTER_API_KEY=<your openrouter key>
RESEND_API_KEY=<optional, for password reset emails>

Running
# Backend (port 5000)
uv run python main.py
# Frontend dev server (port 3000, proxies API to Flask)cd frontend && npm run dev
# Production build (serves from Flask directly)cd frontend && npm run build
Testing
All tests require Flask running on port 5000.
cd frontend && npm run test:e2e # Integration tests (62 tests)cd frontend && npm run test:browser # Puppeteer browser tests (32 tests)cd frontend && npm run test:pipeline # Live API pipeline test (~2.5 min)
Architecture
MelodAI/
main.py # Entry point
src/
app.py # Flask factory (create_app)
routes/
auth.py # Login, register, password reset
track.py # Search, process, play (6-stage pipeline)
admin.py # User/song management, analytics
static.py # SPA serving + song file serving
services/
deezer.py # Deezer API client + decryption
lyrics.py # LLM-based lyrics line splitting
utils/
helpers.py # Lyrics post-processing pipeline
frontend/
src/
hooks/usePlayer.ts # Core audio engine (Web Audio API)
components/Player/ # Karaoke display, controls
pages/ # Login, Library, Admin, About
services/api.ts # API client layer

Maintainer workflows
MelodAI has real ongoing maintenance surface area:
  • reviewing and testing frontend/player changes
  • triaging processing failures across Deezer, Replicate, WhisperX, and OpenRouter
  • hardening auth, admin routes, file serving, and credit accounting
  • improving release confidence with CI, integration tests, and browser tests
  • documenting operational edge cases for self-hosted deployments
Codex-style coding and review workflows are especially useful here because changes often span Python routes, external AI APIs, React state, audio playback, and end-to-end tests.
License
MIT — see LICENSE.
About
AI-powered karaoke web app with vocal separation, timed lyrics, and synchronized playback
melodai.logge.top/about
Topics
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GitHub - LoggeL/MelodAI: AI-powered karaoke web app with vocal separation, timed lyrics, and synchronized playback · GitHub
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MelodAI
CICodeQLLicense: MITTypeScriptFlask
Open-source AI karaoke pipeline for vocal separation, timed lyrics, and synchronized playback.
Search for a song, and MelodAI separates vocals from instrumentals, extracts word-level timed lyrics, and presents a synchronized karaoke player.
Live demo · Security policy · Contributing
Player
How It Works
  1. Search for a song via Deezer's catalog
  2. Download and decrypt the audio
  3. Split vocals and instrumentals using Demucs (via Replicate)
  4. Transcribe lyrics with word-level timestamps using WhisperX (via Replicate)
  5. Process lyrics into karaoke lines using an LLM (via OpenRouter)
  6. Play with real-time word-highlighting, independent vocal/instrumental volume, and speaker colorization
Screenshots
LoginLibrary
LoginLibrary
Admin - SongsAdmin - Users
Admin SongsAdmin Users
Song DetailAbout
Song DetailAbout
Tech Stack
  • Backend: Python 3.12, Flask, SQLite
  • Frontend: React, TypeScript, Vite, CSS Modules
  • Audio: Web Audio API with dual GainNodes (vocals + instrumental)
  • AI Services: Replicate (Demucs, WhisperX), OpenRouter (LLM lyrics processing)
  • Song Source: Deezer
Setup
Prerequisites
  • Python 3.12+ with uv
  • Node.js 18+
  • API keys for: Replicate, OpenRouter, Deezer ARL cookie
  • Optional: Resend (for password reset emails)
Installation
# Clone and install dependencies
git clone <repo-url>&&cd MelodAI
uv sync
cd frontend && npm install
Configuration
Copy example.env to .env and fill in your API keys:
DEEZER_ARL=<your deezer ARL cookie>
REPLICATE_API_TOKEN=<your replicate token>
HF_READ_TOKEN=<your huggingface token>
OPENROUTER_API_KEY=<your openrouter key>
RESEND_API_KEY=<optional, for password reset emails>

Running
# Backend (port 5000)
uv run python main.py
# Frontend dev server (port 3000, proxies API to Flask)cd frontend && npm run dev
# Production build (serves from Flask directly)cd frontend && npm run build
Testing
All tests require Flask running on port 5000.
cd frontend && npm run test:e2e # Integration tests (62 tests)cd frontend && npm run test:browser # Puppeteer browser tests (32 tests)cd frontend && npm run test:pipeline # Live API pipeline test (~2.5 min)
Architecture
MelodAI/
main.py # Entry point
src/
app.py # Flask factory (create_app)
routes/
auth.py # Login, register, password reset
track.py # Search, process, play (6-stage pipeline)
admin.py # User/song management, analytics
static.py # SPA serving + song file serving
services/
deezer.py # Deezer API client + decryption
lyrics.py # LLM-based lyrics line splitting
utils/
helpers.py # Lyrics post-processing pipeline
frontend/
src/
hooks/usePlayer.ts # Core audio engine (Web Audio API)
components/Player/ # Karaoke display, controls
pages/ # Login, Library, Admin, About
services/api.ts # API client layer

Maintainer workflows
MelodAI has real ongoing maintenance surface area:
  • reviewing and testing frontend/player changes
  • triaging processing failures across Deezer, Replicate, WhisperX, and OpenRouter
  • hardening auth, admin routes, file serving, and credit accounting
  • improving release confidence with CI, integration tests, and browser tests
  • documenting operational edge cases for self-hosted deployments
Codex-style coding and review workflows are especially useful here because changes often span Python routes, external AI APIs, React state, audio playback, and end-to-end tests.
License
MIT — see LICENSE.
About
AI-powered karaoke web app with vocal separation, timed lyrics, and synchronized playback
melodai.logge.top/about
Topics
aiaudio-processingflaskkaraokelyricsmusicopen-sourceopenrouterreactreplicatetypescript
Resources
Readme
MIT license
Contributing
Contributing
Security policy
Security policy
Activity
Stars
7 stars
Watchers
1 watching
Forks
1 fork
Report repository
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
})();
GitHub - LoggeL/MelodAI: AI-powered karaoke web app with vocal separation, timed lyrics, and synchronized playback · GitHub
Skip to content
BranchesTags
Repository files navigation
MelodAI
CICodeQLLicense: MITTypeScriptFlask
Open-source AI karaoke pipeline for vocal separation, timed lyrics, and synchronized playback.
Search for a song, and MelodAI separates vocals from instrumentals, extracts word-level timed lyrics, and presents a synchronized karaoke player.
Live demo · Security policy · Contributing
Player
How It Works
  1. Search for a song via Deezer's catalog
  2. Download and decrypt the audio
  3. Split vocals and instrumentals using Demucs (via Replicate)
  4. Transcribe lyrics with word-level timestamps using WhisperX (via Replicate)
  5. Process lyrics into karaoke lines using an LLM (via OpenRouter)
  6. Play with real-time word-highlighting, independent vocal/instrumental volume, and speaker colorization
Screenshots
LoginLibrary
LoginLibrary
Admin - SongsAdmin - Users
Admin SongsAdmin Users
Song DetailAbout
Song DetailAbout
Tech Stack
  • Backend: Python 3.12, Flask, SQLite
  • Frontend: React, TypeScript, Vite, CSS Modules
  • Audio: Web Audio API with dual GainNodes (vocals + instrumental)
  • AI Services: Replicate (Demucs, WhisperX), OpenRouter (LLM lyrics processing)
  • Song Source: Deezer
Setup
Prerequisites
  • Python 3.12+ with uv
  • Node.js 18+
  • API keys for: Replicate, OpenRouter, Deezer ARL cookie
  • Optional: Resend (for password reset emails)
Installation
# Clone and install dependencies
git clone <repo-url>&&cd MelodAI
uv sync
cd frontend && npm install
Configuration
Copy example.env to .env and fill in your API keys:
DEEZER_ARL=<your deezer ARL cookie>
REPLICATE_API_TOKEN=<your replicate token>
HF_READ_TOKEN=<your huggingface token>
OPENROUTER_API_KEY=<your openrouter key>
RESEND_API_KEY=<optional, for password reset emails>

Running
# Backend (port 5000)
uv run python main.py
# Frontend dev server (port 3000, proxies API to Flask)cd frontend && npm run dev
# Production build (serves from Flask directly)cd frontend && npm run build
Testing
All tests require Flask running on port 5000.
cd frontend && npm run test:e2e # Integration tests (62 tests)cd frontend && npm run test:browser # Puppeteer browser tests (32 tests)cd frontend && npm run test:pipeline # Live API pipeline test (~2.5 min)
Architecture
MelodAI/
main.py # Entry point
src/
app.py # Flask factory (create_app)
routes/
auth.py # Login, register, password reset
track.py # Search, process, play (6-stage pipeline)
admin.py # User/song management, analytics
static.py # SPA serving + song file serving
services/
deezer.py # Deezer API client + decryption
lyrics.py # LLM-based lyrics line splitting
utils/
helpers.py # Lyrics post-processing pipeline
frontend/
src/
hooks/usePlayer.ts # Core audio engine (Web Audio API)
components/Player/ # Karaoke display, controls
pages/ # Login, Library, Admin, About
services/api.ts # API client layer

Maintainer workflows
MelodAI has real ongoing maintenance surface area:
  • reviewing and testing frontend/player changes
  • triaging processing failures across Deezer, Replicate, WhisperX, and OpenRouter
  • hardening auth, admin routes, file serving, and credit accounting
  • improving release confidence with CI, integration tests, and browser tests
  • documenting operational edge cases for self-hosted deployments
Codex-style coding and review workflows are especially useful here because changes often span Python routes, external AI APIs, React state, audio playback, and end-to-end tests.
License
MIT — see LICENSE.
About
AI-powered karaoke web app with vocal separation, timed lyrics, and synchronized playback
melodai.logge.top/about
Topics
aiaudio-processingflaskkaraokelyricsmusicopen-sourceopenrouterreactreplicatetypescript
Resources
Readme
MIT license
Contributing
Contributing
Security policy
Security policy
Activity
Stars
7 stars
Watchers
1 watching
Forks
1 fork
Report repository
Used by
Contributors
Languages