AI Audio Translator
Turn a recording in another language into an editable transcript, with the spoken language named and speakers kept apart. Free to start, no account needed.
No sign-up to start · 99+ languages · Up to 0.5 GB per file
What is AI Audio Translator?
AI Audio Translator turns a spoken recording into a readable transcript and names the language being spoken, which is what any translation workflow needs first. Interviews, voice notes, calls, and podcast episodes all come back in one shape: sentences with punctuation, speaker turns where the audio allows it, and a timestamp per block. The text stays editable, so names and numbers can be fixed before it goes further.
Why choose AI Audio Translator?
Recordings arrive faster than anyone can translate them, and a single listen is enough to mishear a date, a figure, or a surname. AI Audio Translator writes the words down while they are still in the original language, keeps the speakers apart, and lets the text be checked by someone who speaks that language before a translation is ordered.
A Recording in Another Language With No One to Read It?
Voice notes and interview files pile up in languages nobody on the team speaks, and sending an unchecked guess into a translation tool spreads the error into a second language. A date, a figure, or a surname misheard once becomes permanent. AI Audio Translator sets down what was said, in the language it was said in, with speaker turns and timestamps, so the translation step starts from text that someone can verify.
What makes AI Audio Translator different?
AI Audio Translator handles audio alone, including phone calls and voice notes, and states the language it heard rather than assuming it from a file name.
Source language named per recording
Speaker turns for two-person calls
Plain text ready for a translation tool
How to use AI Audio Translator in 3 steps
- 1
Upload the audio file
M4A, MP3, WAV, and other common audio formats go straight in. A voice note, a call recording, and a podcast episode take the same route.
- 2
Confirm the spoken language
Detection names the language. Set it by hand when a recording opens with music or carries two languages in one call.
- 3
Review the transcript and export
Verify names, figures, and dates by replaying the audio, then save the text for a translator, a colleague, or a case file.
Start with a recording that no one on the team can follow. AI Audio Translator returns the spoken words as text, names the language, and keeps speaker turns, so a translation can begin from a verified source.
Transcribe the audioWhat users say about AI Audio Translator
“Lecture recordings finally became searchable notes instead of hours of audio.”
“I stopped taking notes in calls and started reviewing transcripts instead.”
“The timestamped transcript cut my editing pass roughly in half.”
“Finding a quote in a 90-minute interview now takes seconds.”
“Speaker labels make multi-person interviews far easier to code.”
Frequently asked questions about AI Audio Translator
Does AI Audio Translator translate the audio itself?
No. The recording is transcribed in the language that was spoken, and the detected language is named alongside the text. That transcript is the source for whichever translator or translation service comes next. Keeping the two steps apart means the original wording can be checked before any meaning is changed.
Is AI Audio Translator free to use?
Yes. Transcription and export are free to start, and the opening files need no login. Paid plans lift the upload ceiling, allow several recordings in parallel, and unlock the advanced accuracy mode, which helps with accented speech and noisy phone calls.
Which audio formats are accepted?
Common formats such as M4A, MP3, WAV, AAC, and OGG are accepted, along with the audio track of a video file. Voice memos exported from a phone, call recordings captured by a meeting tool, and podcast masters all go through the same uploader without conversion.
Which languages can the audio be in?
The speech is recognized in close to a hundred languages, with the choice taken from the audio itself. A recording that mixes two languages, as bilingual calls often do, can be split or run twice with the language pinned by hand, which keeps each part of the transcript on a single model.
Are speakers separated in a call?
When the audio holds more than one voice, speaker separation labels each turn so an answer stays with the person who gave it. Two-person calls are the clearest case. Overlapping speech and a shared handset reduce the benefit, and the text then reads as a single stream.
How accurate are names, dates, and numbers?
Numbers and dates are the risky part of any cross-language work, because a misheard digit is easy to miss and expensive later. Names in a language the recognizer sees rarely are the second risk. Both are quick to fix in the editor, and a reviewer who speaks the language should check them before translation.
How long a recording can be processed?
A voice note of thirty seconds and an interview of two hours both go through the same path, with the plan's file size ceiling as the only real limit. Splitting a long call into segments keeps each transcript easier to review against the audio, and lets a doubtful passage be rechecked without waiting for the rest.
How can the finished transcript be used?
It can be sent to a translator with the language named, read alongside the audio, exported as plain text, or turned into subtitles. Because timestamps and speaker turns stay in place, a translator can follow the conversation and a reviewer can point to the exact moment of any line.
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