Transcribe audio to text online for free. AI converts MP3, WAV, M4A, and 12 more audio formats into accurate transcripts, subtitles, and summaries.
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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, run free AI transcription, and export accurate audio to text in minutes.
Choose the audio file you want to convert to text. Supported formats include AAC, AMR, AWB, FLAC, M4A, MKA, MP2, MP3, OGA, OGG, OPUS, WAV, WEBA, WEBM, WMA.
Start the AI speech to text engine and convert audio to text that is accurate and readable.
Export the finished audio to text transcript as TXT, PDF, DOCX, SRT, VTT, CSV for notes, subtitles, captions, or documentation.
Our free audio to text converter supports every popular audio format. Pick a format below to see how its audio to text conversion works.
Converting audio to text makes spoken information easier to search, quote, review, and reuse. The best audio to text workflow depends on what was recorded and what you need to create from the transcript.
Convert meeting audio to text and keep 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.
Transcribe audio to text from classes, seminars, field recordings, and research interviews to build 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.
Turn podcast audio to text and 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.
Use voice to text to make phone memos, browser recordings, team updates, and spoken drafts easier to act on. Speech to text 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 matters more for audio to text conversion than the name alone. Use the guide below to understand where common formats come from and what to check before you convert audio to text.
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 for audio to text conversion rather than repeatedly converting it and introducing another lossy encoding step.
WAV and FLAC are common when preserving source quality is important. They retain more detail than heavily compressed copies, which helps speech to text accuracy 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 you transcribe audio to text.
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 audio to text conversion, 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 gives the audio to text converter more useful speech information than a quick low-quality conversion.
Speech to text works from the audio that is actually present in the recording. A few checks before you convert audio to text 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 speech to text output 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. After the audio to text conversion, 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.
