Audio to Text
Convert audio recordings into accurate, editable transcripts for meetings, interviews, and content workflows.
Try Audio to TextUse WAV to text transcription to turn uncompressed recordings into clear, editable content. Upload interviews, field recordings, voice archives, or studio audio and let AI organize the spoken words.
WAV to text works with WAV and also accepts MP3, M4A, MP4, and WEBM audio
Use this straightforward WAV to text workflow to move from a high-quality audio source to a transcript you can edit and reuse.
Choose a recording from a voice recorder, interview session, research project, call archive, or audio editor for WAV to text conversion.
Upload the file directly to WAV to text, so you do not need to compress it to MP3 before beginning the transcription.
Select the spoken language or use automatic detection, then begin the AI WAV to text transcription.
Clear voices and balanced recording levels usually improve WAV to text results, while noisy passages may need a quick review.
Compare important sections with the audio, edit the WAV to text output, and copy or download the completed transcript.
Use your WAV to text result for research notes, production logs, accessibility files, searchable archives, or content drafts.
Upload an existing file or record a new clip in the browser to start WAV to text transcription.
A WAV to text workflow keeps the detail of your source recording while creating content that is easier to search, edit, quote, and share.
WAV files often preserve more of the original recording. The WAV to text engine analyzes that detailed audio to identify spoken words across interviews, lectures, and production sessions.
Use WAV to text with exports from recorders, editing software, microphones, and archives without preparing a separate copy first.
Start the WAV to text process with a local file or browser recording and receive an editable first draft without manually replaying every section.
Review the WAV to text transcript beside the audio, correct names or technical terms, and export the finished result as TXT, SRT, or VTT.
Upload a WAV file, choose the spoken language, and turn the recording into editable text with AI
Drag & drop an audio file here or click to upload
MP3, MP4, MPEG, MPGA, M4A, WAV, WEBM formats supported
Maximum file size: 25MB
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Your transcription will appear here
Upload an audio file to start transcription
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Explore specialized transcription and subtitle tools for your file format and workflow.
Convert audio recordings into accurate, editable transcripts for meetings, interviews, and content workflows.
Try Audio to TextTurn MP3 files into clean, editable transcripts for podcasts, interviews, and meeting recordings.
Try MP3 to TextExtract spoken content from MP4 videos and convert it into searchable text in minutes.
Try MP4 to TextConvert live speech or voice recordings into accurate text for notes, summaries, and documentation.
Try Speech to TextTranscribe video audio into text for content repurposing, SEO publishing, and team collaboration.
Try Video to TextConvert podcast episodes into editable transcripts for show notes, SEO pages, newsletters, and content repurposing.
Try Podcast to TextGenerate timestamped SRT subtitles from audio to speed up caption workflows and localization.
Try Audio to SRTConvert MP3 recordings into ready-to-use SRT subtitle files for editors, creators, and publishers.
Try MP3 to SRTTurn MP4 videos into timestamped SRT subtitles for fast editing, publishing, and multilingual caption workflows.
Try MP4 to SRTConvert spoken audio into timestamped SRT subtitles for interviews, lessons, meetings, and accessibility workflows.
Try Speech to SRTConvert video audio into timestamped SRT subtitles for editing, publishing, localization, and accessibility workflows.
Try Video to SRTCreate timestamped SRT subtitle files from podcast audio for video clips, captioned episodes, and social distribution.
Try Podcast to SRTGenerate WebVTT subtitles from audio for HTML5 players, online courses, and modern caption workflows.
Try Audio to VTTConvert MP3 audio into WebVTT captions for browser players, lesson portals, and web publishing teams.
Try MP3 to VTTCreate WebVTT subtitle files from MP4 videos for websites, learning platforms, demos, and browser-based playback.
Try MP4 to VTTTurn spoken audio into WebVTT captions for tutorials, product demos, training sessions, and browser playback.
Try Speech to VTTConvert spoken video content into WebVTT captions for websites, course libraries, product demos, and embedded players.
Try Video to VTTGenerate WebVTT caption files from podcast episodes for web players, embedded videos, and online learning pages.
Try Podcast to VTTJoin thousands of professionals who are already using Aidio for audio to text conversion
"Aidio has revolutionized my workflow. What used to take hours of manual audio transcription now takes just minutes with transcribe audio to text service."

Answers about file compatibility, transcription quality, editing, and export options
Yes. Upload the recording in your browser, choose the language, and start WAV to text transcription. The generated content appears in the online editor for review.
WAV commonly stores less-compressed or uncompressed audio, which can retain useful speech detail. Actual accuracy still depends on microphone quality, background noise, accents, and overlapping speakers.
No. WAV to text accepts supported WAV files directly, avoiding an extra conversion step and keeping your original recording available for review.
Typical uses include interviews, lectures, meetings, oral histories, voice-over takes, research recordings, support calls, and audio exported from editing software.
Yes. Review the WAV to text result, correct names or specialist terms, and copy or download the revised version.
You can export the transcription as plain text, SRT subtitles, or VTT captions, depending on how you plan to use the spoken content.
For better WAV to text accuracy, use clear speech, moderate volume, limited echo, and as little background noise as possible. Review proper names and domain-specific vocabulary before export.
Yes. The transcription workflow supports multiple spoken languages and includes automatic language detection when you are unsure which option to choose.