What is AudioTranscriber.io?
Audio Transcriber AI converts audio and video files into timestamped, speaker-labeled text for meetings, interviews, podcasts, lectures, and content creation.Supports MP3, WAV, M4A, AAC, FLAC, OGG, WMA, AIFF and MP4 inputs, accepts uploads up to 5 GB, and includes a TikTok MP3 converter and YouTube audio extraction.
Runs in the browser with no installation required and produces downloadable transcripts in TXT and Word formats.Automatic speaker detection and timestamps streamline review, note-taking, and content editing workflows.
Offers automatic language recognition and translation for 120+ languages to support multilingual research and localization.Noise reduction and context-aware models improve transcription accuracy; final quality depends on audio clarity, speaker separation, and recording conditions.
Suitable for students, journalists, researchers, podcasters, educators, and teams needing fast, scalable transcription and audio extraction.
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AudioTranscriber.io's key features
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Timestamped, speaker-labeled transcription with automatic speaker detection
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Supports MP3, WAV, M4A, AAC, FLAC, OGG, WMA, AIFF and MP4 inputs; accepts uploads up to 5 GB; includes TikTok MP3 converter and YouTube audio extraction
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Runs in the browser with no installation required; produces downloadable transcripts in TXT and Word formats
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Automatic language recognition and translation for 120+ languages
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Noise reduction and context-aware models to improve transcription accuracy
AudioTranscriber.io use cases
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Generate accurate, speaker-labeled and timestamped meeting minutes from long Zoom or conference recordings directly in your browser, using noise reduction and 5 GB upload support to export polished Word or TXT transcripts for easy distribution and archiving
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Transcribe and translate multilingual interviews or research recordings pulled from YouTube or TikTok, leveraging 120+ language recognition and automatic translation to produce searchable, timestamped transcripts with speaker labels for journalists and researchers
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Create SEO-friendly, chaptered transcripts and subtitles for podcasts and video content by extracting audio, reducing background noise, and exporting timestamped Word/TXT files to speed up editing, captioning, and content repurposing
Who is it for?
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Content creators
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Podcasters
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Journalists
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Researchers
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Interviewers