Which transcription model gets the fewest words wrong?
skryba.ai transcribes on Scribe v2, which gets 2.2% of words wrong in Artificial Analysis' independent index — the lowest of every model measured. Gemini 3.5 Transcribe gets 2.6% wrong, Whisper large-v3 4.1%. It is the same model that writes the transcript preview you see before paying.
Word Error Rate — words transcribed incorrectly — lower is better| Model | WER |
|---|
| skryba.ai (Scribe v2)the model we transcribe on | 2.2% |
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| MAI-Transcribe-1.5Microsoft Azure | 2.4% |
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| Gemini 3.5 TranscribeGoogle | 2.6% |
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| Universal-3 ProAssemblyAI | 3.1% |
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| GPT TranscribeOpenAI | 3.3% |
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| Whisper large-v3OpenAI | 4.1% |
|---|
| Nova-3Deepgram | 5.2% |
|---|
Source: Artificial Analysis, AA-WER v2 index, non-streaming mode — read 27 August 2026. Seven of the 40-plus models measured: the top of the table and the names you already know. The index is measured mostly on English audio; for other languages, Polish included, no comparable public ranking exists. That is why we show you the start of every transcript before we ask for anything.