AI Robot Translator
Real-time AI voice & text translation bridge for Telegram
Hey Indie Hackers! 👋
I just published the product page for AI Robot Translator and wanted to share the story behind it with the community.
When communicating with international clients, freelance partners, and friends across different languages, I kept running into the same friction: switching back and forth between messaging apps and Google Translate, losing the rhythm of conversation, and dealing with clumsy, context-blind translations.
To solve this, I built a real-time "digital bridge" directly inside Telegram.
How it works:
You generate a single invite link in the bot and send it to your conversation partner.
Once they join, the bot opens a private virtual room and automatically translates messages between both participants in real time.
Works seamlessly with both text and voice notes (Whisper STT transcription + natural neural AI voice synthesis).
With continuous context memory, the LLM retains conversation history, resolving pronouns and adapting vocabulary to specific "Scenes" (e.g. business negotiations, travel, or casual chat).
Technical Stack:
Python 3.12, FastAPI, and Aiogram 3 running on a unified asyncio event loop, Waterfall AI failover engine (OpenAI + Gemini + Mistral for 99.9% uptime), PostgreSQL with Async SQLAlchemy, and Redis.
I'd love to hear your thoughts, feedback, or suggestions!
👉 Try the bot in Telegram: https://t.me/ai_robot_translator_bot?start=indiehackers
🎟 Free balance promo code for IH community: MT-26-1-5205114 (activate inside the bot's "Balance" menu)
2 Comments
The single invite link and private room is a really clean way to handle this. The voice-note translation with conversation context is the part that feels genuinely different from just putting text through a translator.
Feels like AI Robot Translator could be pulling in a lot more organic traffic than it is right now. Especially right after launch when you’re still figuring out which use case people naturally gravitate toward.
Are business conversations actually the strongest use case so far or are people using it for more casual chats?
The strongest part is removing the app-switching friction from multilingual conversations. Making translation part of the conversation itself changes the experience beyond simply making translation more accurate.