How It Works

ASR.GE can be used in three ways. Pick the one that fits your task.

File Transcription

Upload a recording and get a Georgian transcript back.

1

Sign in

Create an account, verify your email, and open the Upload page.

2

Upload

Choose an audio or video file up to 5 minutes long. Audio: WAV, MP3, OGG, FLAC, M4A, AAC, WebM. Video: MP4, MOV, AVI, MKV, WebM.

3

Processing

Your file joins the transcription queue. Its status updates automatically while it is processed.

4

Two transcripts

You get a raw CTC transcript and a KenLM language-model version. Play or download the audio next to the text.

Up to 5 uploads per week. File names may contain only Latin letters, digits, hyphens and underscores, for example interview_01.mp3.

Upload a file

Live Transcribe

A Windows desktop app that transcribes whatever your computer plays, as it plays.

1

Sign in

Open ASR.GE Live Transcribe and sign in with your ASR.GE email and password.

2

Device and language

Pick the output device to capture, such as speakers or headphones, and the language: Georgian or English.

3

Record

Press Start or the Space bar. Voice activity detection splits speech into chunks and skips silence.

4

Corrected transcript

An LLM pass adds punctuation and fixes errors in context. Replay any chunk, copy the text, and find past sessions in your profile.

Live Transcribe draws on your account balance. Recordings are also kept on your computer in Documents\ASR.GE.

Read the manual

Text to Speech

Turn Georgian text into natural-sounding speech.

1

Sign in

Open the Text to Speech page from your account.

2

Enter text

Type or paste up to 500 characters of Georgian text. Only Georgian letters, full stops, commas and spaces are voiced.

3

Generate

Our in-house TTS model voices the text.

4

Listen

Play the generated audio from your TTS list.

Up to 5 generations per week.

Try Text to Speech

Why two transcripts?

For every short slice of audio, the acoustic model estimates how likely each Georgian letter is. The CTC transcript takes the most likely letter at each step and collapses repeats. It is fast and stays close to what was actually said, but it can contain spelling slips. The KenLM version runs a beam search that weighs several candidate transcriptions against a language model trained on a large body of Georgian text, and keeps the most probable one. It usually reads more naturally and fixes many of those errors.