Upload an audio file and turn speech into accurate, searchable text. Supports common and long-tail audio formats, plus exports for notes, captions, and documentation.
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Supported formats include 3GP, AAC, AMR, AWB, FLAC, M4A, MKA, MKV, MOV, MP2, MP3, MP4, MPG, OGA, OGG, OPUS, TS, WAV, WEBA, WEBM, WMA, WMV.
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Upload an audio file and get an accurate transcript ready to export in minutes.
Choose an audio file from your device. Supported formats include AAC, AMR, AWB, FLAC, M4A, MKA, MP2, MP3, OGA, OGG, OPUS, WAV, WEBA, WEBM, WMA.
Start transcription and let AI convert spoken words into accurate, readable text.
Download the transcript as TXT, PDF, DOCX, SRT, VTT, CSV for notes, subtitles, captions, or documentation.
Our AI supports popular audio formats. Click any format below to learn more.
A transcript makes spoken information easier to search, quote, review, and reuse. The best workflow depends on what was recorded and what you need to create from it.
Turn recorded conversations into a written reference for decisions, follow-up tasks, research quotes, and stakeholder notes. A searchable transcript helps you revisit the exact wording without replaying an entire call, while speaker-aware editing makes it easier to separate questions, answers, and action items before sharing the result.
Convert classes, seminars, field recordings, and research interviews into material that can be highlighted and organized. Students can build study notes from important passages, and researchers can locate recurring terms or compare responses across sessions while keeping the original recording available for context.
Create an editable source for show notes, articles, quotations, captions, newsletters, and social posts. Instead of starting every derivative asset from a blank page, creators can work from the transcript, verify wording against the audio, and export subtitle files when the same recording is published as video.
Make phone memos, browser recordings, team updates, and spoken drafts easier to act on. Transcription can turn an informal recording into a checklist, document outline, project update, or searchable archive, especially when typing is inconvenient or the idea is easier to explain aloud.
The file extension tells you something about how audio was stored, but recording quality still matters more than the name alone. Use the guide below to understand where common formats come from and what to check before uploading.
MP3, M4A, and AAC are widely used for podcasts, voice recorders, mobile devices, and downloaded audio. Their smaller files are convenient to move and upload. If speech sounds clear in normal playback, keep the original file rather than repeatedly converting it and introducing another lossy encoding step.
WAV and FLAC are common when preserving source quality is important. They can retain more detail than heavily compressed copies, which is helpful for archival recordings, studio interviews, and editing workflows. WAV files may be large, while FLAC provides lossless compression without discarding the recorded signal.
WEBM, WEBA, OGG, OGA, and OPUS often come from browsers, web applications, open-source tools, or real-time communication systems. Because these extensions may wrap different codecs, play the complete file first and confirm that the expected audio track is present before starting a long transcription.
AMR and AWB were designed around spoken voice and are frequently associated with phones, call systems, and older recorders. They can be perfectly usable for transcription, but narrow bandwidth, aggressive noise suppression, or a distant caller may remove details that software cannot restore later.
MP2, MKA, and WMA appear in broadcast archives, Matroska workflows, Windows applications, and older media libraries. Check for multiple tracks, unexpected language channels, or files that were copied from legacy systems. Uploading the original track usually preserves more useful speech information than making a quick low-quality conversion.
AI transcription works from the speech that is actually present in the recording. A few checks before upload can save more time than correcting an avoidable problem after processing.
Sample the beginning, middle, and end with headphones. Check whether voices remain audible, whether a microphone drops out, and whether music or machinery covers important words. If you cannot understand a passage while listening carefully, mark it for review instead of expecting a format conversion to recreate missing detail.
Prefer the earliest complete file you have. Messaging apps, editing tools, and repeated exports may reduce bitrate, merge channels, or cut quiet speech. Renaming an extension does not change the codec, and transcoding a damaged or low-quality copy cannot recover information that has already been discarded.
Choose the spoken language that matches the recording and review the result when speakers overlap, use specialized names, or switch languages. Clear turn-taking generally produces easier-to-edit text than several people talking at once, even when the source file itself is high quality.
Use TXT, DOCX, or PDF for reading and documentation; choose SRT or VTT when timing is needed for captions; use CSV when a structured table fits the workflow. Keep the original audio until names, numbers, quotations, and other important details have been checked against the recording.
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Download transcripts as TXT, PDF, DOCX, SRT, VTT, CSV for notes, subtitles, captions, or documentation.
