tgcaller 1.0.3

Modern, fast, and reliable Telegram group calls library with advanced features

TgCaller

Modern, Fast, and Reliable Telegram Group Calls Library

Built for developers who need a simple yet powerful solution for Telegram voice and video calls

Documentation • Examples • Community • Issues

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Why TgCaller?

TgCaller is a next-generation Telegram group call engine — built for speed, reliability, and developer-first simplicity.
It delivers the performance you need, without the complexity you don’t.

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✦ Fast & Lightweight

Engineered for optimal performance with minimal system usage. No bloat. No overhead.

✦ Easy to Use

A developer-friendly API that feels intuitive from the very first line of code.

✦ Stable by Default

Automatic reconnection, intelligent error handling, and smooth session management — all built-in.

✦ High-Quality Streaming

Stream crystal-clear audio and HD video seamlessly in Telegram group calls.

✦ Plugin-Based Architecture

Extend and customize core features effortlessly with a modular plugin system.

✦ Fully Documented

Complete guides, real-world examples, and full API references to support every stage of development.

✦ Built-In Power Tools

Includes advanced capabilities like YouTube streaming, Whisper transcription, and media filters — ready to go.

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TgCaller isn’t just simple to adopt — it’s designed to grow with your vision.

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Quick Start

Installation

# Install from PyPI
pip install tgcaller

# Install with video support
pip install tgcaller[media]

# Install with all features
pip install tgcaller[all]

Verify Installation

# Test installation
tgcaller test

# Check system info
tgcaller info

Expected Output:

 Testing TgCaller installation...
 Pyrogram imported successfully
 TgCaller types imported successfully
 TgCaller installation test completed successfully!

Basic Usage

import asyncio
from pyrogram import Client
from tgcaller import TgCaller

# Initialize
app = Client("my_session", api_id=API_ID, api_hash=API_HASH)
caller = TgCaller(app)

@caller.on_stream_end
async def on_stream_end(client, update):
    print(f"Stream ended in {update.chat_id}")

async def main():
    await caller.start()
    
    # Join voice call
    await caller.join_call(-1001234567890)
    
    # Play audio
    await caller.play(-1001234567890, "song.mp3")
    
    # Play video
    await caller.play(-1001234567890, "video.mp4")

if __name__ == "__main__":
    asyncio.run(main())

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Audio Features

from tgcaller import AudioConfig

# High-quality audio
audio_config = AudioConfig(
    bitrate=128000,           # 128 kbps
    sample_rate=48000,        # 48 kHz
    channels=2,               # Stereo
    noise_suppression=True,   # Clean audio
    echo_cancellation=True    # No echo
)

await caller.play(chat_id, "audio.mp3", audio_config=audio_config)

Video Features

from tgcaller import VideoConfig

# HD video streaming
video_config = VideoConfig(
    width=1920,
    height=1080,
    fps=30,
    bitrate=2000000,          # 2 Mbps
    codec="h264"
)

await caller.play(chat_id, "video.mp4", video_config=video_config)

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Advanced Features

** Bridged Calls**

Connect multiple chats for conference calls:

from tgcaller.advanced import BridgedCallManager

bridge_manager = BridgedCallManager(caller)
await bridge_manager.create_bridge("conference", [chat1, chat2, chat3])

** Microphone Streaming**

Stream live microphone input:

from tgcaller.advanced import MicrophoneStreamer

mic_streamer = MicrophoneStreamer(caller, chat_id)
await mic_streamer.start_streaming()

** Screen Sharing**

Share your screen in video calls:

from tgcaller.advanced import ScreenShareStreamer

screen_streamer = ScreenShareStreamer(caller, chat_id)
await screen_streamer.start_streaming(monitor_index=1)

** YouTube Integration**

Stream YouTube videos directly:

from tgcaller.advanced import YouTubeStreamer

youtube = YouTubeStreamer(caller)
await youtube.play_youtube_url(chat_id, "https://youtube.com/watch?v=...")

** Speech Transcription**

Real-time speech-to-text with Whisper:

from tgcaller.advanced import WhisperTranscription

transcriber = WhisperTranscription("base")
await transcriber.start_transcription()

** Audio/Video Filters**

Apply real-time effects:

from tgcaller.advanced import AudioFilters, VideoFilters

audio_filters = AudioFilters()
video_filters = VideoFilters()

# Add echo effect
filtered_audio = audio_filters.apply_echo(audio_data, delay=0.3)

# Add blur effect
filtered_video = video_filters.apply_blur(video_frame, kernel_size=15)

** Custom API**

Extend with REST API:

from tgcaller.advanced import CustomAPIHandler

api = CustomAPIHandler(caller, port=8080)
await api.start_server()

# Now you can control via HTTP:
# POST /play {"chat_id": -1001234567890, "source": "song.mp3"}

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CLI Tool

TgCaller comes with a built-in CLI tool for testing and management:

# Show help
tgcaller --help

# Test installation
tgcaller test --api-id YOUR_API_ID --api-hash YOUR_API_HASH

# Show system information
tgcaller info

CLI Commands:

• tgcaller test - Test TgCaller installation
• tgcaller info - Show system information
• tgcaller --version - Show version

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Examples

Music Bot

from tgcaller import TgCaller
from pyrogram import Client, filters

app = Client("music_bot")
caller = TgCaller(app)

@app.on_message(filters.command("play"))
async def play_music(client, message):
    if len(message.command) < 2:
        return await message.reply("Usage: /play <song_name>")
    
    song = message.command[1]
    
    # Join call if not already joined
    if not caller.is_connected(message.chat.id):
        await caller.join_call(message.chat.id)
    
    # Play song
    await caller.play(message.chat.id, f"music/{song}.mp3")
    await message.reply(f" Playing: {song}")

@caller.on_stream_end
async def next_song(client, update):
    # Auto-play next song logic here
    pass

app.run()

Advanced Conference Bot

from tgcaller.advanced import BridgedCallManager, WhisperTranscription

# Create conference bridge
bridge_manager = BridgedCallManager(caller)
await bridge_manager.create_bridge("meeting", [chat1, chat2, chat3])

# Add real-time transcription
transcriber = WhisperTranscription("base")
await transcriber.start_transcription()

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Docker Support

FROM python:3.11-slim

# Install system dependencies
RUN apt-get update && apt-get install -y \
    ffmpeg \
    libopus-dev \
    && rm -rf /var/lib/apt/lists/*

# Install TgCaller
RUN pip install tgcaller[all]

# Copy your bot
COPY . /app
WORKDIR /app

CMD ["python", "bot.py"]

Docker Compose:

version: '3.8'
services:
  tgcaller-bot:
    build: .
    environment:
      - API_ID=${API_ID}
      - API_HASH=${API_HASH}
      - BOT_TOKEN=${BOT_TOKEN}
    volumes:
      - ./downloads:/app/downloads
    ports:
      - "8080:8080"

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Performance

Feature	TgCaller	pytgcalls	Improvement
Connection Time	~1s	~3s	3x faster
Memory Usage	80MB	150MB	47% less
CPU Usage	Low	High	60% less
Error Rate	<2%	~8%	4x more reliable
Features	25+	10	2.5x more

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Advanced Configuration

FFmpeg Parameters

from tgcaller import TgCaller

caller = TgCaller(app, ffmpeg_parameters={
    'before_options': '-re',
    'options': '-vn -preset ultrafast'
})

Multiple Clients

# Manage multiple Telegram accounts
clients = [Client(f"session_{i}") for i in range(5)]
callers = [TgCaller(client) for client in clients]

# Start all
for caller in callers:
    await caller.start()

P2P Calls

from tgcaller.advanced import P2PCallManager

p2p = P2PCallManager(caller)
await p2p.create_direct_call(user1_id, user2_id)

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Dependencies

Core Dependencies:

• pyrogram>=2.0.106 - Telegram client
• aiortc>=1.6.0 - WebRTC support
• aiofiles>=23.1.0 - Async file operations
• aiohttp>=3.8.4 - HTTP client

Media Processing:

• ffmpeg-python>=0.2.0 - Media processing
• numpy>=1.24.0 - Audio/video arrays
• opencv-python>=4.7.0 - Video processing

Audio Processing:

• pyaudio>=0.2.11 - Audio I/O
• soundfile>=0.12.1 - Audio file handling

Advanced Features:

• openai-whisper - Speech transcription
• yt-dlp>=2023.6.22 - YouTube downloading
• mss - Screen capture

Optional:

• TgCrypto - For faster Pyrogram performance

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Development

Setup

git clone https://github.com/tgcaller/tgcaller.git
cd tgcaller

# Create virtual environment
python -m venv venv
source venv/bin/activate

# Install in development mode
pip install -e ".[dev]"

# Run tests
pytest tests/ -v

Testing

# Run all tests
pytest

# Test with coverage
pytest --cov=tgcaller tests/

# Test installation
tgcaller test

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Submit a pull request

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Documentation

• API Reference - Complete API documentation
• Examples - Code examples and tutorials
• Migration Guide - Migrate from pytgcalls
• Plugin Development - Create custom plugins
• Advanced Features - Professional features guide

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Community

• Telegram Group - Get help and discuss
• GitHub Discussions - Feature requests and ideas
• GitHub Issues - Bug reports

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License

This project is licensed under the MIT License - see the LICENSE file for details.

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💖 Sponsor

Crafted with ❤️ by Jhoommusic — blending community spirit with professional-grade audio & video streaming for Telegram bots.