Test multilingual dictation with the languages and sentence patterns you actually use. Sayhush uses automatic language detection, but recognition quality can vary; language compatibility is not a promise of translation or identical accuracy across languages.
Start with a representative sample
Choose a short original paragraph in each language you normally write. Include ordinary words, a name and a number. Avoid a memorized benchmark passage that has little to do with your work. Keep the microphone, room and speaking distance consistent so a change in setup does not look like a language difference. Review each result before drawing a conclusion.
Check one language before mixing them
Begin with a short session in one language, then another in the second language. This gives you a baseline for each. Next, try a realistic sentence that switches between them. Very short fragments, borrowed words and proper names may provide less context than a full sentence. Repeat a surprising result before assuming it is a persistent limitation.
Review the script as well as the words
A transcript can capture the meaning while using an unexpected writing system or spelling. Check names, transliteration, capitalization and punctuation against what the recipient expects. If a particular spelling must be exact, correct it in the destination document. Do not assume automatic language detection also knows your preferred house style or the official spelling of a company name.
Keep translation separate
If you speak in one language and need the final message in another, treat translation as a separate task. Sayhush’s current workflow is dictation, not a translation service. Review the original transcript first so any later translation starts with the words you meant. An error in the source can become harder to notice after it has been rewritten in a different language.
Make a small evaluation sheet
For each sample, record the language, microphone, app version and whether the issue involved a name, number, omitted word or insertion. You can describe errors without keeping private audio. Compare the kinds of correction you need, not just a single percentage. A product that handles your everyday vocabulary may fit better than one with a larger advertised language count.
Choose based on your actual writing
Use the free allowance to try a message, a note and a longer paragraph. Check both recognition and the final appearance in your editor, including mixed-script text where relevant. If the result needs extensive rewriting, keep typing for that task or evaluate another option. No single successful example establishes reliable performance across all languages, accents and environments.