Ship live translations
with confidence
A production-ready full-stack Node.js + React application for seamless EN↔RU↔UK live auto-detect translation with voice synthesis.
⚙
Installation
Set up the project locally with Docker, Redis, and LibreTranslate in minutes.
▦
Architecture
Understand the STT → Translation → TTS pipeline and real-time Socket.io communication.
▶
Live Translation
Stream from YouTube or microphone with automatic EN/RU/UK language detection and voice output.
📜
Biblical Simulator
Test the full pipeline with AI-generated biblical passages in King James, Church Slavonic, or Ukrainian style.
🎤
Voice Training
Clone custom voices from microphone recordings or YouTube videos using ElevenLabs IVC.
Prerequisites
●
Node.js 20+
Runtime for backend and build tools
●
Docker + Docker Compose
For Redis and LibreTranslate services
●
yt-dlp + ffmpeg
Required for YouTube audio extraction
●
ElevenLabs API Key
For speech-to-text and text-to-speech
Clone & Configure
git clone https://github.com/Pzharyuk/live-translator-node.git && cd live-translator-node
cp .env.example .env
Edit .env and set your API key:
ELEVENLABS_API_KEY=sk-your-key-here
ADMIN_PASSWORD=your-secure-password
Start Infrastructure
# Start Redis + LibreTranslate
docker compose -f docker-compose.local.yml up -d
# Wait for LibreTranslate to download language models (~500 MB)
docker logs -f $(docker ps -qf "name=libretranslate") 2>&1 | grep -i "running"
Start Backend
cd backend
npm install
npm run dev # nodemon watches for changes
Start Frontend
cd frontend
npm install
npm run dev # Vite hot-reload on localhost:5173
✓
You're all set!
Open http://localhost:5173 — log in with user / changeme and you will be redirected to /translate. Admin panel: http://localhost:5173/admin (admin password: admin123).
System Overview
Frontend
React 19 + Vite
Socket.io Client
Web Audio API
↔
Backend
Express + Socket.io
TypeScript
Service Layer
ElevenLabs
Scribe v2 (STT)
TTS Streaming
Voice Cloning
Translation
LibreTranslate (self-hosted)
DeepL (premium API)
Claude / Anthropic (AI)
Redis
Feature Flags
Settings Store
Anthropic
Biblical Simulator
Claude Translation
DeepL
Free & Pro tiers
Auto endpoint detection
Data Flow
1 Audio Input (Mic / YouTube / Simulator)
↓
2 PCM 16-bit LE @ 16kHz via Socket.io chunks
↓
3 ElevenLabs Scribe v2 WebSocket STT
↓
4 Commit Merge Buffer 2.5s VAD aggregation
↓
5 Translation Provider LibreTranslate / DeepL / Claude
↓
6 ElevenLabs TTS Voice synthesis streaming
↓
7 Audio Playback Queued with 600ms pause
Key Architecture Decisions
Two-layer Language Detection
LibreTranslate's /detect endpoint returns 0-confidence for short Cyrillic phrases. The app uses script-based pre-detection (Unicode 0x0400–0x04FF = Cyrillic) combined with ElevenLabs Scribe's language_code output for reliable EN/RU/UK auto-detection.
VAD Commit Merging
Voice Activity Detection can fire aggressively on speaker breathing. Commits are buffered for 2.5 seconds before translation to merge fragments into meaningful phrases.
Feature Flag Merging
YAML config defaults are merged with Redis runtime overrides. Redis values take priority, falling back to YAML if Redis is unavailable.
API Key Hierarchy
Keys resolve in order: Runtime Cache → Redis → Config File → Empty. This allows hot-swapping keys without restarts.
Connection Lifecycle
- Client sends
start_session with source type (mic or youtube) and optional voiceId
- Backend opens a WebSocket to
wss://api.elevenlabs.io/v1/speech-to-text/realtime
- For YouTube: spawns
yt-dlp | ffmpeg child processes to extract PCM audio
- For Microphone: awaits
audio_chunk events from the frontend
Audio Streaming
Audio chunks are sent to Scribe as JSON messages:
{
"message_type": "input_audio_chunk",
"audio_base_64": "UklGR..." // PCM 16-bit LE, 16kHz, mono
}
Scribe Responses
| Response Type | Meaning | Action |
partial_transcript |
Live partial text (speculative) |
Emitted as non-final transcript event |
committed_transcript |
VAD fired — complete phrase |
Buffered for commit merge window |
Commit Merge Buffer
After receiving a committed_transcript, the backend waits 2.5 seconds (COMMIT_MERGE_MS) to collect additional commits before translating. This prevents fragmented translations from aggressive VAD.
Stability Timeout
If VAD stalls (no new commits), a 3.5 second fallback timer (STABILITY_TIMEOUT_MS) fires to translate whatever new text has accumulated, preventing indefinite silence.
Text Validation
Before translation, text is validated against EN/RU/UK character regex patterns. This filters out hallucinated text from the STT model (common with silence or background noise).
Provider Chain
The system supports three translation providers with automatic fallback:
Default
LibreTranslate
Self-hosted, no API key required. Runs in Docker alongside the app. Best for privacy and cost.
Premium
DeepL
High-quality translations. Supports both free and paid API tiers. Auto-detects endpoint.
AI
Claude
Anthropic's Claude for context-aware translations. Uses claude-haiku-4-5 for speed.
Fallback Logic
1. Try primary provider (admin-selected)
2. If primary fails → try configured fallback
3. If fallback fails → try LibreTranslate (last resort)
4. If all fail → emit error event
Language Detection
The app uses a two-layer auto-detection approach:
Layer 1: Script-based Pre-detection
Before calling any translation API, the backend checks Unicode character scripts:
- Cyrillic characters (Unicode 0x0400–0x04FF) → if >50% of matched letters are Cyrillic, detected as Russian
- Latin characters → detected as English
- This avoids low-confidence results from LibreTranslate's
/detect endpoint on short text
Layer 2: STT Language Code
When the auto_language_detect flag is enabled, ElevenLabs Scribe returns a language_code with each transcript commit. The backend uses this to correctly route EN/RU/UK without relying solely on script detection.
Note: For LibreTranslate, both Russian and Ukrainian Cyrillic text is passed with source ru since LibreTranslate handles Ukrainian text acceptably via the Russian model. DeepL and Claude providers distinguish Ukrainian natively and handle uk as a proper source language.
Language Gating
Detected languages are checked against the admin-approved pool. If a detected language isn't in the allowed set, the translation is rejected to prevent hallucinated language outputs.
TTS Pipeline
After translation, the text is sent to ElevenLabs TTS:
const stream = await client.textToSpeech.stream(voiceId, {
text: translatedText,
model_id: "eleven_multilingual_v2",
output_format: "mp3_44100_128",
voice_settings: {
stability: 0.5,
similarity_boost: 0.75,
style: 0.0,
speed: 1.0,
use_speaker_boost: true
}
});
Audio Delivery
TTS audio is streamed to a Buffer, then emitted as a base64-encoded MP3 via the tts_audio Socket.io event.
Frontend Playback Queue
The frontend maintains an audio queue to prevent overlapping playback:
- Received
tts_audio events are queued
- Each segment plays to completion before the next starts
- A configurable pause (600ms default) is inserted between segments
- The pause duration is controlled by
tts_segment_pause_ms (adjustable in admin)
Microphone Input
- User selects "Mic" tab and chooses a TTS voice
- Browser captures audio via Web Audio API's
ScriptProcessor
- PCM 16-bit LE at 16kHz sample rate sent to backend via Socket.io
- Backend pipes audio to ElevenLabs Scribe v2 Realtime WebSocket
- Language auto-detected (EN/RU/UK), text translated and synthesized
- TTS audio returned and played back with inter-segment pauses
YouTube Input
- User pastes a YouTube URL (live stream or video)
- Backend spawns
yt-dlp | ffmpeg child processes
- Audio extracted as PCM stream (16kHz, 16-bit LE, mono)
- Piped to Scribe v2, same pipeline as microphone
- Stream ends when YouTube content ends or user stops
User Interface
The user view features a dark cavern theme with:
- Waveform visualizer — Canvas-based bar chart with orange gradient and cyan tips
- Transcript display — White translated text scrolls upward with fade masks
- Partial transcript — Shown in italic orange while STT is processing
- Source tabs — Toggle between Mic and YouTube (controlled by feature flags)
How It Works
The backend uses yt-dlp and ffmpeg as child processes to extract audio from YouTube URLs:
yt-dlp (best audio) → ffmpeg (PCM 16kHz 16-bit LE mono) → Scribe v2
Supported Sources
- Live streams — Translates in real-time as the stream progresses
- Regular videos — Processes the full audio track
- Any URL supported by yt-dlp (YouTube, etc.)
Requirements
Both yt-dlp and ffmpeg must be installed and available in the system PATH. On macOS:
brew install yt-dlp ffmpeg
⚠
Feature Flag Required
YouTube input is controlled by the youtube_input feature flag. Enable it in the admin panel to show the YouTube tab in the user view.
Overview
The Biblical Transcript Simulator is an admin-only feature that generates biblical text passages using Anthropic's Claude API, then routes them through the full translation pipeline. This provides a hands-free way to test STT → Translation → TTS without a live audio source.
Language Styles
| Language | Style | Example |
en |
King James English |
"In the beginning was the Word..." |
ru |
Church Slavonic Russian |
"В начале было Слово..." |
uk |
Traditional Ukrainian |
"На початку було Слово..." |
Flow
- Admin provides Anthropic API key and selects language
- Backend calls Claude with streaming (uses
claude-sonnet-4-6)
- Claude generates 6-8 biblical passages, 3-5 sentences each
- Stream is buffered until 140+ characters AND complete sentences
- Chunks emitted with 1800ms smooth pacing between them
- Each chunk flows through the standard pipeline:
- Emitted as
transcript (isFinal: true)
- Auto-translated via configured provider
- TTS synthesized and audio returned
- Frontend plays audio with standard inter-segment pause
💡
Feature Flag
Enable biblical_simulator in the admin feature flags panel. The Anthropic API key is provided at runtime in the UI — it's never stored in config files.
Overview
Voice Training uses ElevenLabs' Instant Voice Cloning (IVC) API to create custom voices from audio samples. Once cloned, the voice appears in the voice selector immediately.
From Microphone
- Open the Voice Training section in the admin panel
- Record multiple audio clips using your browser microphone
- Provide a name for the voice
- Clips are uploaded to ElevenLabs IVC API
- Cloned voice is available for TTS immediately
From YouTube
- Paste a YouTube URL in the Voice Training section
- Backend extracts N × 30-second clips via
yt-dlp + ffmpeg
- Clips are uploaded to ElevenLabs IVC API
- Resulting voice is stored in your ElevenLabs account
⚠
ElevenLabs Account
Cloned voices are stored in your ElevenLabs account, not locally. Ensure your plan supports voice cloning.
Concepts
| Concept | Description |
| Active Language Pair |
The current pair used for translation (e.g., EN ↔ RU, EN ↔ UK, or RU ↔ UK). Set by admin. |
| Available Languages |
The pool of languages viewers can select from (if user_language_selector is enabled). |
Admin Controls
- Change the active language pair via the admin panel
- Changes broadcast to all connected clients in real-time
- Manage the available languages pool for viewer selection
Viewer Selection
When the user_language_selector feature flag is enabled, viewers can override the admin-set language pair by selecting their own preferred languages from the available pool.
Overview
Two people can video call each other through the app, each speaking their own language. The app transcribes, translates, and synthesizes speech in real-time so each participant hears the other in their language.
Feature flag: Video call is gated behind the video_translation flag. Enable it in the admin panel or set video_translation: true in your YAML config.
How It Works
- Create a room — Person A selects their language, picks a TTS voice, and clicks "Create Room". A 6-character room code is generated.
- Share the code — Person A shares the room code with Person B (copy button provided).
- Join the room — Person B enters the code, selects their language and TTS voice, and clicks "Join".
- WebRTC connection — The app establishes a peer-to-peer video connection via WebRTC (signaled through Socket.io). Video flows directly between browsers.
- Audio translation — Each participant's microphone audio is simultaneously:
- Sent to the peer via WebRTC (but muted on their end)
- Captured as PCM chunks and sent to the backend via Socket.io for STT
- Translation pipeline — Each participant has their own independent Scribe STT session. Transcribed text is translated to the other participant's language, then synthesized via ElevenLabs TTS and sent back to the peer.
- Playback — The peer hears the TTS translation instead of the raw audio. Translated transcript is displayed below the video.
Architecture
Person A (Browser) Server Person B (Browser)
├─ getUserMedia ├─ Socket.io ├─ getUserMedia
├─ WebRTC P2P ═══video═══►│ (signaling) ◄═══ ├─ WebRTC P2P
│ │ │
├─ PCM chunks ──Socket.io─►├─ ScribeA(STT) │
│ │ ↓ translate │
│ │ ↓ TTS ───────────►├─ Plays TTS
│ │ │
│ Plays TTS ◄─────────────├─ ScribeB(STT) ◄───├─ PCM chunks
│ (remote video muted) │ ↓ translate │ (remote video muted)
└──────────────────────────┴────────────────────┘
Socket Events
| Event | Direction | Purpose |
video_create_room | C→S | Create a new room with language + voice |
video_room_created | S→C | Returns the 6-char room code |
video_join_room | C→S | Join an existing room |
video_room_joined | S→C | Sent to both participants, triggers WebRTC |
video_signal_offer/answer/ice | C↔S | WebRTC signaling relay |
video_audio_chunk | C→S | PCM audio for STT processing |
video_transcript | S→C | Transcript sent to the speaker |
video_translation | S→C | Translation sent to the listener |
video_tts_audio | S→C | TTS audio sent to the listener |
video_leave_room | C→S | Leave the room |
video_room_closed | S→C | Notify peer when other leaves |
Room Lifecycle
- Rooms are stored in Redis with key
video_room:{code} and a 4-hour TTL
- Maximum 2 participants per room
- When one participant disconnects, the other is notified and the call ends
- Scribe sessions are automatically cleaned up on disconnect
Feature Flags
Feature flags control which routes, UI elements, and capabilities are enabled. Defaults are defined in application.yaml and can be overridden at runtime via Redis. The admin API merges both sources, with Redis taking precedence.
All Feature Flags
| Flag |
Default |
Description |
youtube_input |
true |
Allow audio input from YouTube URLs. |
mic_input |
true |
Allow audio input from microphone. |
auto_language_detect |
true |
Automatically detect source language during speech recognition. |
user_language_selector |
false |
Allow users to manually select language pairs (else admin-configured only). |
audio_device_selector |
true |
Allow users to select audio input device. |
video_translation |
false |
Enable /video route for video call translation. |
video_voice_cloning |
false |
Enable Clone Voice button in video lobby (premium feature). |
broadcast |
false |
Enable /broadcast route — public receiver page for live translation broadcasts. |
translate |
false |
Enable /translate route — private translator page for personal sessions. |
Storage & Precedence
Feature flags are stored in two places. When a flag is requested, Redis values take precedence over YAML defaults. This allows administrators to toggle features at runtime without restarting the server. If a flag is not set in Redis, the YAML default is used. New flags added to application.yaml are immediately available without a restart.
Admin API
Retrieve, set, and manage feature flags via the admin panel:
GET /admin/flags
Returns all feature flags merged from YAML defaults + Redis overrides.
Response:
{
"flags": {
"youtube_input": true,
"mic_input": true,
"auto_language_detect": true,
"user_language_selector": false,
"audio_device_selector": true,
"video_translation": false,
"video_voice_cloning": false,
"broadcast": false,
"translate": false
}
}
GET /admin/flags/:flag
Get a single flag value.
POST /admin/flags/:flag
Set a flag value (persists to Redis).
Request Body:
{
"value": true
}
Response:
{
"flag": "translate",
"value": true
}
Socket.IO Events
When a flag is updated via the admin API, all connected clients receive a real-time broadcast over Socket.IO:
feature_flags → Emitted to all connected sockets
Payload:
{
"youtube_input": true,
"mic_input": true,
"auto_language_detect": true,
"user_language_selector": false,
"audio_device_selector": true,
"video_translation": false,
"video_voice_cloning": false,
"broadcast": false,
"translate": false
}
Sent on initial connection and whenever any flag is changed.
Usage Examples
Enable the broadcast route:
POST /admin/flags/broadcast
{
"value": true
}
Check if a feature is available (frontend):
// After receiving feature_flags event
if (flags.video_translation) {
// Show /video link in nav
}
File Structure
| File | Purpose |
config/application.yaml |
Base defaults for all environments |
config/application-local.yaml |
Local development overrides (localhost URLs) |
config/application-prod.yaml |
Production overrides (Docker service names) |
The APP_ENV environment variable (local or prod) determines which overlay file is loaded on top of the base config.
Full Configuration Reference
server:
port: 3001
cors_origin: "http://localhost:5173"
elevenlabs:
api_key: "${ELEVENLABS_API_KEY}"
default_voice_id: "kxj9qk6u5PfI0ITgJwO0"
tts_model: "eleven_multilingual_v2"
tts_settings:
stability: 0.5
similarity_boost: 0.75
style: 0.0
speed: 1.0
use_speaker_boost: true
stt_model: "scribe_v2"
anthropic:
api_key: "${ANTHROPIC_API_KEY}"
deepl:
api_key: "${DEEPL_API_KEY}"
libretranslate:
url: "http://libretranslate:5000"
api_key: ""
redis:
host: "redis"
port: 6379
password: ""
feature_flags:
youtube_input: true
mic_input: true
auto_language_detect: true
user_language_selector: false
audio_device_selector: true
video_translation: false
video_voice_cloning: false
broadcast: false
audio:
sample_rate: 16000
channels: 1
chunk_duration_ms: 250
translation:
source_lang: "auto"
target_lang_en: "en"
target_lang_ru: "ru"
provider: "libretranslate"
fallback: "libretranslate"
Environment Variable Interpolation
YAML values using ${VAR_NAME} syntax are automatically replaced with the corresponding environment variable at startup.
STT Timing Settings
Configure speech-to-text (STT) recognition timing, voice activity detection (VAD), and transcript buffering behavior.
These settings control how long to wait before triggering translation and how aggressively to filter noise.
Settings Reference
| Setting |
Default |
Description |
commit_merge_ms |
2500 |
Buffer VAD commits for this many milliseconds before translating (merges sentence fragments). |
stability_timeout_ms |
2000 |
Fire translation when partial text is unchanged for this duration — fallback when VAD doesn't commit. |
tts_segment_pause_ms |
250 |
Pause between consecutive TTS audio segments (frontend playback timing). |
max_accumulation_ms |
10000 |
Force-dispatch accumulated words during continuous speech if no translation fires within this time. |
vad_threshold |
0.5 |
Voice activity detection sensitivity (0–1, higher → stricter noise filter). |
vad_silence_threshold_secs |
1.5 |
Seconds of silence required before VAD commits a transcript segment. |
min_speech_duration_ms |
100 |
Ignore speech utterances shorter than this duration. |
min_silence_duration_ms |
100 |
Minimum silence gap in milliseconds between speech segments. |
flush_on_sentence_boundary |
true |
Split buffered commits at sentence boundaries (. ? ! ;) instead of flushing all at once. |
Tuning Guide
- Faster response → Lower
commit_merge_ms, stability_timeout_ms, and max_accumulation_ms; increase vad_threshold to be less strict.
- Better accuracy → Increase
vad_silence_threshold_secs and min_speech_duration_ms to avoid noise; decrease vad_threshold to be stricter.
- Sermon/long speech → Lower
max_accumulation_ms (e.g., 5000) to dispatch words even during continuous speech; enable flush_on_sentence_boundary.
- Noisy environment → Increase
vad_threshold (e.g., 0.7–0.9) and min_speech_duration_ms (e.g., 200–300).
- Sentence buffering → Enable
flush_on_sentence_boundary to split buffered text at . ? ! ; and dispatch complete sentences independently.
API Endpoints
GET /admin/stt-timing
Retrieve all current STT timing settings.
curl -X GET http://localhost:3001/admin/stt-timing \
-H "Authorization: Bearer YOUR_JWT_TOKEN"
// Response:
{
"settings": {
"commit_merge_ms": 2500,
"stability_timeout_ms": 2000,
"tts_segment_pause_ms": 250,
"max_accumulation_ms": 10000,
"vad_threshold": 0.5,
"vad_silence_threshold_secs": 1.5,
"min_speech_duration_ms": 100,
"min_silence_duration_ms": 100,
"flush_on_sentence_boundary": true
}
}
POST /admin/stt-timing
Update one or more STT timing settings. Partial updates are supported — omitted fields retain their current values.
curl -X POST http://localhost:3001/admin/stt-timing \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_JWT_TOKEN" \
-d '{
"commit_merge_ms": 1500,
"stability_timeout_ms": 1000,
"max_accumulation_ms": 5000,
"vad_threshold": 0.7,
"flush_on_sentence_boundary": true
}'
// Response:
{
"settings": {
"commit_merge_ms": 1500,
"stability_timeout_ms": 1000,
"tts_segment_pause_ms": 250,
"max_accumulation_ms": 5000,
"vad_threshold": 0.7,
"vad_silence_threshold_secs": 1.5,
"min_speech_duration_ms": 100,
"min_silence_duration_ms": 100,
"flush_on_sentence_boundary": true
}
}
Notes
- Settings are persisted to Redis and survive server restarts.
- Changes apply immediately to new STT sessions; active sessions use settings at their start time.
- Socket.IO clients receive
stt_timing events when settings are updated, allowing real-time UI synchronization.
- The
tts_segment_pause_ms setting is sent to the frontend for audio playback timing; the other VAD/buffer settings are server-side only.
Authentication: All endpoints require JWT cookie-based admin authentication. Users must have is_admin=true or possess at least one role with relevant permissions. Permission-gated endpoints are marked below.
API Keys Management
Retrieve all API key statuses (shows whether keys are configured, not their values).
Set or update API keys for elevenlabs, anthropic, deepl, libretranslate, & google.
Body: {
"elevenlabs": "sk-...",
"anthropic": "sk-ant-...",
"deepl": "...",
"libretranslate": "...",
"google": "..."
}
Retrieve the current Anthropic API key (for client-side sermon generation).
Voice Management
Scan & list all available ElevenLabs voices, with detection of new voices not yet in the allowed pool.
Get the current list of admin-allowed voice IDs that viewers can select from.
Set the pool of allowed voice IDs; broadcasts to all connected clients in real-time.
Body: {
"voiceIds": ["voice1", "voice2", "..."]
}
Feature Flags
Get all feature flags merged from YAML config & Redis overrides.
Get the current value of a single feature flag.
Set a feature flag value and broadcast the updated flags to all connected clients via Socket.IO.
TTS & STT Settings
Retrieve current TTS settings (stability, similarity boost, style, speed, speaker boost).
Update TTS settings (all fields optional).
Body: {
"stability": 0.5,
"similarity_boost": 0.75,
"style": 0.0,
"speed": 1.0,
"use_speaker_boost": true
}
Get speech-to-text timing parameters (VAD thresholds, commit merge delays, accumulation timeout).
Update STT timing settings to control recognition responsiveness & translation dispatch.
Body: {
"commit_merge_ms": 2500,
"stability_timeout_ms": 2000,
"tts_segment_pause_ms": 250,
"max_accumulation_ms": 10000,
"vad_threshold": 0.5,
"vad_silence_threshold_secs": 1.5,
"min_speech_duration_ms": 100,
"min_silence_duration_ms": 100,
"flush_on_sentence_boundary": true
}
Get video call STT/TTS settings (separate from main live-translation settings).
Update video call settings (stability, commit merge, translation provider).
Body: {
"stability_ms": 500,
"commit_merge_ms": 50,
"translation_provider": "claude"
}
Languages
Get the currently active language pair (e.g., ["en", "ru"]).
Set the active language pair and broadcast to all viewers in real-time.
Body: {
"languages": ["en", "ru"]
}
Get the pool of languages available for viewers to select from.
Set the pool of available languages and broadcast both the pool & active pair to all clients.
Body: {
"languages": ["en", "ru", "uk", "es"]
}
Translation Provider
Get the active translation provider & list of available providers (google, deepl, claude, libretranslate).
Set the active translation provider.
Body: {
"provider": "google"
}
Get the currently selected Claude model & list of available models for translation.
Set the Claude model to use for translation.
Body: {
"model": "claude-opus-4-1-20250805"
}
Audio Device
Get the admin-selected audio input device (overrides viewer's local choice).
Set the admin-forced audio device & broadcast to all viewers.
Body: {
"deviceId": "default",
"label": "Built-in Microphone"
}
Voice Training & Cloning
Clone a voice from browser microphone recordings (base64-encoded audio blobs).
Body: {
"name": "My Custom Voice",
"clips": ["base64_audio_1", "base64_audio_2"],
"mimeType": "audio/webm"
}
Clone a voice from a YouTube video URL using yt-dlp & ffmpeg to extract audio clips.
Body: {
"name": "My Custom Voice",
"youtubeUrl": "https://www.youtube.com/watch?v=...",
"clipCount": 3,
"startOffset": 0
}
Content Generation
Generate a random biblical sermon snippet via Anthropic Claude in the specified language.
Body: {
"apiKey": "sk-ant-...",
"language": "en"
}
Monitoring & Logs
Get hallucination detection statistics & log entries.
Clear the hallucination log.
Retrieve all translation events with timing metrics (translation & TTS latency).
Clear the translation log.
Get the current depth of the broadcast TTS job queue for monitoring latency.
Session History
List all broadcast & private translation sessions from PostgreSQL with metadata.
Get detailed transcript & timing data for a specific session.
Export session transcripts in JSON, CSV, or plain text format. Use query param ?format=csv|txt|json.
User Management (requires user_management permission)
List all users (password hashes & avatar data stripped).
Update a user's admin status and/or assign roles.
Body: {
"isAdmin": true,
"roleIds": ["role1", "role2"]
}
Force-reset a user's password (minimum 6 characters).
Body: {
"password": "newpassword123"
}
Delete a user account (cannot delete yourself).
Roles & Permissions (requires user_management permission)
List all available permissions that can be assigned to roles.
List all defined roles & their assigned permissions.
Create a new role with a set of permissions.
Body: {
"name": "Moderator",
"permissions": ["user_management", "content_moderation"]
}
Update an existing role's name & permissions.
Body: {
"name": "Senior Moderator",
"permissions": ["user_management", "content_moderation", "analytics"]
}
Delete a role (users assigned to it are unaffected; they keep other roles).
SDK
Uses the official @elevenlabs/elevenlabs-js SDK (v2). The client is lazy-loaded on first use.
Speech-to-Text (Scribe v2 Realtime)
Connects via native WebSocket to wss://api.elevenlabs.io/v1/speech-to-text/realtime. Handles:
- VAD-based commit buffering with configurable merge window
- Stability timeout fallback for stalled VAD
- Text validation (EN/RU/UK character regex filtering)
- Partial and final transcript emission
Text-to-Speech
Uses client.textToSpeech.stream() with the eleven_multilingual_v2 model. Audio is collected into a Buffer and emitted as base64 MP3.
Voice Management
client.voices.getAll() — fetches all voices from account
- Admin can filter which voices are available to viewers
- Voice cloning via IVC API (from recordings or YouTube)
Key File
backend/src/services/elevenlabs.service.ts
Provider Details
LibreTranslate
Self-hosted in Docker. No API key required by default. Provides language detection and translation via REST API.
File: backend/src/services/libretranslate.service.ts
DeepL
Premium translation API. Auto-detects free vs. paid endpoint based on the API key format.
File: backend/src/services/deepl.service.ts
Claude (Anthropic)
AI-powered translation using claude-haiku-4-5 for speed. Includes language detection and auto-flip logic.
File: backend/src/services/claude-translate.service.ts
Routing
Provider routing is handled by backend/src/services/translation.provider.ts:
- Try admin-selected primary provider
- On failure, try configured fallback provider
- LibreTranslate is always the last-resort fallback
Connection
Uses ioredis with automatic retry strategy. Falls back to in-memory/YAML defaults if Redis is unavailable.
Key Patterns
| Pattern | Example | Purpose |
flag:<name> |
flag:youtube_input |
Feature flag boolean values |
setting:<name> |
setting:tts_settings |
JSON settings objects |
Key File
backend/src/services/redis.service.ts
Local Development
Use docker-compose.local.yml for Redis and LibreTranslate only (backend/frontend run natively):
docker compose -f docker-compose.local.yml up -d
Production
Use docker-compose.yml for all services:
docker compose up -d --build
Services
| Service | Image | Port | Notes |
| frontend |
Nginx (custom build) |
80 (exposed) |
Serves React build, proxies API/WS to backend |
| backend |
Node.js (custom build) |
3001 (internal) |
Express + Socket.io server |
| redis |
redis:7-alpine |
6379 (internal) |
Feature flags and settings store |
| libretranslate |
libretranslate/libretranslate |
5000 (internal) |
Self-hosted translation engine |
Configuration
ELEVENLABS_API_KEY=sk-your-production-key
ADMIN_PASSWORD=strong-secure-password
FRONTEND_URL=https://translate.example.com
APP_ENV=prod
REDIS_PASSWORD=redis-secret
Deploy
docker compose up -d --build
Reverse Proxy
When running behind Nginx or another reverse proxy:
- Set
LISTEN_PORT in .env (e.g., 8080)
- Proxy pass to
localhost:8080
- Important: Ensure WebSocket upgrades are forwarded for the
/socket.io/ path
server {
listen 443 ssl;
server_name translate.example.com;
location / {
proxy_pass http://localhost:8080;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "upgrade";
proxy_set_header Host $host;
}
}
Monitoring
# Check all services
docker compose ps
# View backend logs
docker compose logs -f backend
# Health check
curl http://localhost:3001/api/health