Audio File Transcription
Audio to Text Converter – Transcribe Audio & Video Files
Audio to text converts MP3, WAV, M4A, MP4, FLAC, and other supported media files into text. Whisper Web runs audio to text in your browser with timestamps and exportable transcripts for interviews, lectures, podcasts, meetings, and recorded notes. Looking for real-time speech to text? Try our Voice to Text Tool →
- Built for existing recordings and saved files
- Common formats such as MP3, WAV, M4A, MP4, OGG, and WEBM
- Timestamps, multilingual support, and exportable output
- Local browser processing for private audio workflows
Supported Audio Formats for Transcription
This page is built for file-based transcription workflows where the recording already exists and needs to become usable text.
Built for Uploaded Audio Files
This workflow is designed for saved recordings rather than live speech. Upload the file you already have and move directly into transcription without changing tools or relying on cloud storage first.
Support for Common Audio Formats
Use common file formats such as MP3, WAV, M4A, MP4, OGG, WEBM, and similar browser-supported media types. That covers podcast exports, meeting recordings, lectures, interviews, voice memos, and MP4 files with supported audio tracks.
Local Processing for Private Files
Audio files stay on your device during the workflow, which is useful for recordings that should not be routed through a third-party transcription service.
Timestamped Output for Review
Transcript segments include timestamps so you can search, review, and navigate longer recordings without replaying the entire file from the beginning.
Multilingual File Transcription
Use auto-detect for convenience or choose a specific language for better control. This is useful when the file contains multilingual content or audio recorded in one of Whisper's supported languages.
Export for Notes, Captions, and Archives
Export text or structured output once the transcript is ready. That makes file-based transcription more useful for subtitles, editorial workflows, documentation, and searchable archives.
How to Convert Audio Files to Text
Four steps from uploaded recording to a transcript you can search, edit, and export.
Open the file upload workflow
Open the Audio to Text tab so the interface is ready for an uploaded recording instead of live microphone input or a URL.
Upload your recording
Drag in an audio file or use the file picker to select one from your device. The browser reads the recording locally instead of uploading it to a remote server first.
Run audio to text
Start transcription once the file is loaded. After the first model download, later transcriptions use the cached model and begin much faster.
Review and export the transcript
Review the transcript with timestamps, then export it for writing, subtitle workflows, internal notes, or archive use.
Use Audio to Text for Podcasts, Lectures, and Meetings
Uploaded file transcription works best when the recording already exists and the next step is turning it into reusable text.
Podcast Transcription
Upload a podcast MP3 and get a full transcript with timestamps for show notes, editing, quote extraction, and caption drafting.
Interview and Research Recordings
Convert recorded interviews into working draft transcripts while keeping research material on-device instead of routing it through a third-party service.
Lecture and Class Recording
Turn lecture files into searchable text for revision, note cleanup, and follow-up study. This works well with exported recordings from online classes and handheld recorders.
Legal and Medical Dictation
Use local file transcription when the recording contains confidential spoken content and sending it to a cloud transcription service would create unnecessary exposure.
Video Content Production
Generate a first-draft transcript from an extracted audio track, then reuse timestamps to prepare subtitles, summaries, or edit notes.
Archiving Voice Memos
Turn older voice memos, audio notes, and saved recordings into searchable text so they are easier to review, quote, and organize later.
The Best Audio to Text Workflow for Your Files
Converting audio to text shouldn't require complex software or expensive subscriptions. Powered by Whisper Web, our dedicated audio to text converter is built specifically for existing files.
With our audio to text tool, timestamped segments make it easier to review sections and jump to specific moments. By processing audio to text locally in your browser, your MP3 and WAV files remain completely private.
- Fast audio to text processing for notes and workflows
- Accurate audio to text timestamps for subtitle preparation
- Secure audio to text conversion with zero server uploads
File-First Workflow
Upload a recording, then review and export.
Audio to Text FAQ
Common questions about supported formats, file size expectations, transcript quality, and export options.
Which audio formats does the tool support?
Whisper Web supports MP3, WAV, M4A, MP4, OGG, WEBM, and other common browser-decodable media formats. MP4 support depends on whether the file contains an audio track your browser can decode, such as AAC.
Is there a maximum file size?
There is no server-side file size limit because files are processed locally in your browser. Practical limits depend on your device's RAM. Files under 200 MB are handled comfortably on most computers.
Is my audio file uploaded to a server?
No. The file you select stays entirely within your browser. Whisper Web reads the file using the browser's FileReader API and processes the audio locally using WebAssembly. No data is sent to any external server.
How accurate is the audio to text conversion?
Accuracy depends on audio quality and the chosen Whisper model. Whisper-tiny (default) handles clear, single-speaker audio very well. Enable Quantized in Settings or switch to whisper-base for noisier recordings or accented speech.
Can I transcribe a video file?
Yes, you can upload MP4 files if they contain a browser-supported audio track such as AAC. Whisper Web extracts the audio through the browser's native media decoding path. If a specific MP4 fails to decode, extract the audio track first and upload it as M4A or WAV.
Why does the first transcription take a long time?
The first run downloads the Whisper model (152 MB for whisper-tiny). This is a one-time download stored in your browser's cache. Every subsequent transcription starts immediately without re-downloading.
Can I transcribe non-English audio files?
Yes. Set Language to Auto Detect or choose a specific language in the Settings panel. Whisper supports 98 languages including Spanish, French, German, Chinese, Japanese, Korean, Arabic, and many more.
Can the tool translate foreign-language audio into English?
Yes. In Settings, set Task to 'Translate (to English)'. Whisper will transcribe the audio and translate the output to English simultaneously — no second pass needed.
Upload an Audio File and Get Usable Text Back
Load your recording, run transcription in the browser, and export a result you can reuse for notes, subtitles, editing, or archives.