Most accurate speech-to-text apps 2026
Lowest word error rate out of the box, on identical audio.
Willow Voice ranks #1 for most accurate speech to text (99.0% accurate). 4 apps tested on identical audio; the full ranking and what each is best for is below.
The ranking
# App Most accurate speech to text Overall
Why these rank where they do
- Flawless ITN: numbers, currency and dates come out correct with no editing.
- One of the cleanest accented-speech results we tested (0.47% WER on conference audio).
- No drift over four-minute recordings — accuracy holds to the end.
- snake_case identifiers get mangled (last_seen_at → lastscene_at).
- Auto-cleanup is always on — you can’t get the raw transcript.
- 98.0% accurate out of the box — second only to Willow, with nothing to configure.
- Perfect 0.0% WER on both the café-noise and numbers clips.
- No drift over the 3-minute long-form monologue.
- Splits code identifiers into words (ImagePullBackOff → "image pullback off").
- Auto-cleanup is always on — no fully raw transcript in the field.
- Perfect on number-heavy clips (0.00% WER on the ITN benchmark).
- Identical output on clean and café-noise audio — noise barely matters.
- Same quality on free and paid — the free tier is not a downgraded model.
- Tech and brand terms slip: "Tauri" → "Atari".
- Cloud-only — nothing works offline.
How we ranked this
Ranked by the out-of-box word error rate (WER) of each app’s default model on identical audio. Lower WER is a higher score on our published 1–10 band.
Full methodology →