Case Study Details
Full breakdown, insights & results
Whisper Userbot: Telegram Voice-to-Text Transcriber
The Challenge
- No easy way to transcribe Telegram voice messages to text automatically
- Manual transcription is slow and inconvenient
The Solution
A Python userbot that:
- Listens for new voice messages in private Telegram chats
- Downloads and converts audio to mp3
- Transcribes audio using OpenAI Whisper
- Replies with the transcribed text
Technical Implementation
- Python/telethon: Telegram userbot logic
- openai-whisper: Speech-to-text transcription
- ffmpeg: Audio conversion
- dotenv: Secure config
Results
- Automated voice-to-text transcription
- Telegram chat integration
- Multi-user and self-message support
Key Features
- Listens for private voice messages
- Downloads, converts, and transcribes audio
- Replies with text in chat
- Handles multiple users
Technology Stack
- Python
- telethon
- openai-whisper
- ffmpeg
- dotenv
Future Roadmap
- Group chat support
- Web dashboard for transcripts
- Language auto-detection