Amharic Speech
to Text.
Dink is a fine-tuned speech recognition tool built specifically for Amharic — a language that standard AI models struggle to understand.
The Problem
Standard AI ignores low-resource languages
Amharic is spoken by over 50 million people, yet it remains an edge case for most speech AI. General-purpose models like Whisper — trained predominantly on high-resource languages — fail to recognize Amharic when used out of the box.
Input: Amharic speech audio
The model hallucinates, repeats filler words, or produces completely wrong text.
Input: same audio
Accurate Amharic text — readable, usable, correct.
How It Works
Built through iteration
Dink is powered by Whisper-Small, fine-tuned specifically for Amharic through multiple training iterations — each one improving accuracy on this low-resource language.
Features
Simple by design
Record or Upload
Use your microphone directly in the browser or upload any audio file. Supports all common formats.
Fast Transcription
Get your Amharic transcription in seconds, powered by a dedicated inference endpoint.
Copy & Use
One-click copy to grab your transcribed text and use it anywhere you need it.
This is just the beginning
Dink is currently in beta. The model is still being improved and new features are on the way — transcription history, better accuracy, and support for more dialects.
Try it now — it's free