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MP3, WAV, M4A, OGG, MP4, MOV, WebM and more
Choose FileTranscribe audio and video files to text using your browser's built-in speech recognition. Download the result as a Word document or plain text file.
MP3, WAV, M4A, OGG, MP4, MOV, WebM and more
Choose FileThis tool transcribes spoken audio from audio and video files into written text, using your browser's built-in speech recognition. Upload a recording โ a voice memo, meeting recording, video clip, or podcast segment โ and receive a text transcript that can be downloaded as a Word document or plain text file.
Transcription uses your browser's built-in speech recognition capability. Processing happens on your device โ your audio is not uploaded to a third-party transcription service.
Transcription accuracy depends heavily on audio quality. Clear speech with minimal background noise, a single speaker at a time (overlapping speech is hard to transcribe accurately), and good recording volume all improve results. Recordings with heavy accents, technical jargon, multiple speakers talking over each other, or significant background noise will produce less accurate transcripts that may need manual review and correction.
If you have some control over how a recording is made โ for example, you're about to record a meeting or interview โ a few choices upfront can meaningfully improve transcription accuracy later. Positioning a microphone closer to speakers than a built-in laptop microphone would typically be (even a basic external microphone placed centrally on a table during a meeting) usually improves clarity significantly. Asking participants to avoid talking over each other โ a common habit in casual conversation but one that's particularly disruptive for transcription, since overlapping speech is often transcribed as garbled or missing text entirely โ helps too. And if a recording already exists and has significant background noise or music mixed with speech, our Silence Remover can sometimes help by tightening up the recording, though it won't remove background noise during speech itself.
For long recordings โ hour-long meetings, lengthy interviews, full podcast episodes โ transcription naturally takes longer since the tool processes audio as it plays. For very long files, it can be more manageable to split the recording into smaller sections first using Audio Trimmer, transcribing each section separately and then combining the resulting text. This also makes it easier to review and correct the transcript in manageable chunks rather than scrolling through one very long document, and means that if something goes wrong partway through, you've only lost progress on one section rather than the entire recording.
A raw transcript is rarely the final product โ it's usually a starting point. For meeting notes, a raw transcript often needs to be condensed into key points and action items rather than kept as a full word-for-word record. For content repurposing โ turning a podcast or video into a written article โ a transcript captures the spoken content but typically needs editing for written style, since spoken language includes filler words, false starts, and repetition that read poorly on the page even though they sound natural when spoken. Treating the transcript as raw material to edit from, rather than a finished document, generally produces a better result for any use case beyond a basic record of what was said.
Once you have a transcript, reviewing it against the original audio for accuracy is recommended, especially for important documents like meeting minutes or interview transcripts where errors could change meaning. If you need to share the transcript alongside the original recording, or combine it with other documents, the downloaded Word file can be edited like any other document, or converted to PDF if needed.
Common audio formats (such as MP3, WAV) and video formats (such as MP4) that your browser can play are generally supported, since the tool relies on browser-based playback and speech recognition.
Background noise, overlapping speakers, accents, and technical terminology can all reduce accuracy. Reviewing and correcting the transcript against the original audio is recommended for important content.
This tool focuses on converting speech to text. It doesn't automatically label or separate different speakers in the transcript.
There's no strict limit, but longer recordings take proportionally longer to transcribe since the tool processes audio in real time as it plays.
No, transcription uses your browser's built-in speech recognition and processing happens on your device.