Transcription Accuracy
How accurate are the transcripts?
Transcription accuracy varies by audio quality, microphone setup, background noise, and language. Speak Ai publishes reported accuracy in the mid-90s (around 95-96%) for supported languages and clean audio, and it benefits from mature models, word-level timestamps, and tooling for QA. That makes it a solid choice when you need consistently high accuracy across structured interviews and research recordings.
SozAI delivers high-quality transcripts for a wide range of use cases and supports custom vocabulary on the Premium plan to help with domain-specific terms. We avoid claiming a precise blanket accuracy percentage because performance depends heavily on the recording. In practice, SozAI is competitive for everyday meetings, interviews, and YouTube videos, and the combination of speaker diarization and LeMUR summaries helps surface usable output quickly. If you require guaranteed 95%+ benchmarks for enterprise QA workflows, Speak Ai’s documented accuracy and deeper analysis tooling may be preferable, but for most creators and small teams SozAI offers a better value-to-performance ratio.