Does sayit work well for a Chinese accent?

sayit works for a Chinese accent through the mechanism that matters: it scores the phonemes you actually produced against the target sounds, instead of running speech recognition that quietly autocorrects your pronunciation into the word it assumed you meant. That distinction is exactly the one that matters for Mandarin-influenced English, where most Mandarin syllables end in a vowel or one of a small set of nasal sounds — so English word-final consonants ("bag," "read," "big") get dropped or softened in a way a transcript-based tool tends to miss entirely, because the word is still recognizable from context.

30-second version: Chinese isn't one of the four accent groups sayit names as explicitly tested (Indian, American, British, European), so this isn't a published per-language result. What is documented is the engine design: it compares your actual phonemes to target IPA rather than grading a recognized transcript, which is the approach needed to catch dropped final consonants instead of scoring past them.

Why the mechanism is the honest answer here

A speech-recognition model's job is to figure out which word you meant, and it's good at that job even when pronunciation is imprecise — which is exactly why it's the wrong tool for catching pronunciation errors. If you say "bag" without a clear final /g/, a transcript-based checker will often still transcribe "bag" correctly from context and mark you right. sayit's approach scores what your mouth actually did, sound by sound, so a dropped or devoiced ending shows up as a real gap between the target phoneme and what was measured, with the specific sound named in IPA rather than buried inside a passing transcript.

Where this is genuinely strong

• Per-word, per-phoneme feedback with target IPA next to your actual sound makes a dropped ending visible instead of silently accepted.
• Every core drill (pacing, vowel contrasts, minimal pairs) plus read-aloud scoring is free, so you can test this on your own sentences with no card.
• IELTS and TOEFL exam-format practice (Pro/Max) is relevant for the exams most commonly required for study or work abroad.

Where to keep expectations honest

• Chinese isn't among the four accent groups sayit publicly names as tested — the case here rests on how the scoring works, not a published Chinese-specific benchmark.
• Tone is a defining feature of Mandarin and a common source of interference in English rhythm and stress, and sayit's feedback is about phoneme clarity, not a dedicated tone-transfer analysis.
• It scores pronunciation and fluency only — no grammar or vocabulary checking, which matters for Mandarin-English interference in article usage and tense.

Who this is for

If dropped word endings or consonant softening are the specific issue muddying your English, a phoneme-scoring tool that can't be fooled by a "close enough" transcript is the right category, and that's how sayit is built. The general case for why this matters is in how sayit is different from speech-to-text.

Try it

Read a sentence with a few word-final consonants in the app — no card needed for the first take — and see exactly which sounds it flags.