Audio translator. Upload a voice memo, call, or clip in any language and AI transcribes and translates it — accurate, natural, with speaker and tone preserved.
Select the AI model for audio analysis. Different models may have different capabilities.
Record audio directly from your microphone
Audio Translator transcribes and translates spoken audio from any language: upload a voice memo, phone call, interview, or video clip and you get the detected source language (down to dialect, like Mexican Spanish or Brazilian Portuguese), a faithful transcript in the original script (Cyrillic, Arabic, Han, Hangul, Devanagari, whatever the language actually uses), and a natural, idiomatic translation into English or any target language you specify in the notes. Multi-speaker audio gets speaker labels and rough timestamps on both the original and the translation so you can align them line by line. It also handles code-switching (it lists every language present and which segments use which) and adds cultural and context notes explaining idioms, honorifics, slang, and references a target-language reader would miss. A final confidence section flags any unclear sections worth double-checking with a native speaker. It translates everything meaningful rather than summarizing, so it behaves like an interpreter, not a recap tool.
Upload the audio and the AI works through the interpreter pipeline. Language detection names the source language and dialect or region when identifiable, including all languages if speakers code-switch. Transcription produces a faithful transcript in the original script, with Speaker 1 and Speaker 2 labels and timestamps for multi-speaker recordings. Translation renders the content into the target language naturally: it matches register (formal versus casual), preserves tone like sarcasm or anger, and adapts idioms culturally instead of word-for-word. Cultural and context notes list the original phrase first, then explain the nuance behind it. The quality section states overall confidence and which moments were too unclear or ambiguous to be certain about. Filler words are only condensed when they carry no tonal weight, so the translation reads like what was actually said.
Upload the file and the AI handles the whole pipeline: it detects the source language (down to dialect when identifiable), transcribes the speech in the original script, then translates it into English. You get the transcript and translation aligned line by line, plus cultural notes for anything that doesn't carry across directly.
Yes. English is just the default target; name any target language in the notes and the translation renders there instead. On the source side it accepts any language it can detect, including recordings that mix several. A Korean voice memo into German, or a Spanish-English call into French, are both legitimate jobs.
Yes. Multi-speaker recordings get speaker labels and rough timestamps on both the original transcript and the translation, kept identical so you can align them line by line. That structure is what makes translated calls and interviews readable: you always know who said what, in both languages.
Natural by design. It matches register (formal versus casual), preserves tone like sarcasm or anger, and adapts idioms culturally instead of word-for-word, then uses the cultural notes section to explain what the original phrase literally said and why it was rendered that way. You get readability without losing the source nuance.
Clear audio in major languages translates very well. Mumbled speech, crosstalk, heavy dialect, and background noise degrade the transcription, and translation errors flow from there. The output includes a confidence section flagging the specific passages that were unclear, and for anything consequential (legal, medical, business) those flagged parts deserve a native speaker's review.
No, it's instructed to behave like an interpreter, not a recap tool: every meaningful sentence gets translated, and only pure filler words are condensed, even those staying when they carry tone. If you actually want the short version of a foreign-language recording, run the translation here, then feed the result to the summarizer.
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