Choose a short audio file
Start with a clear English MP3, WAV, M4A, AAC, or OGG file that your browser can decode. Short clips work best because the audio to text generator runs on your device.
Browser Speech Transcription
Browser-based audio transcription for short English files.
Try a nearby TextKits tool when you want a different copy-ready format, display style, or text effect.
Repeat words, lines, emoji, or short text into copy-ready patterns.
Restore fancy Unicode, flipped, and decorative text back to plain text.
Black out sensitive words, numbers, or custom patterns.
Copy tiny text, small caps, superscript, and subscript Unicode styles.
Start with a clear English MP3, WAV, M4A, AAC, or OGG file that your browser can decode. Short clips work best because the audio to text generator runs on your device.
Click Transcribe and let the page load a small speech recognition model. The audio to text generator uses a Web Worker so the main page stays usable while the model works.
Review the transcript, fix any rough words, copy the result, or download a TXT file. The result stays editable so you can clean it up before using it elsewhere.
This audio to text generator is built for people who want a lightweight transcript without sending a recording through a TextKits server. Select a short audio file, load the browser model, and the page turns the speech it can understand into editable text. It is useful for quick notes, test clips, voice memos, draft captions, and small pieces of spoken content that need a plain text version.
Because the audio to text generator runs in the browser, the experience depends on your device. A recent desktop browser usually processes faster than an older phone, and the first run can take longer because the browser needs to download the quantized model before it can begin.
The current audio to text generator supports selected audio files that your browser can decode. Many common MP3, WAV, M4A, AAC, and OGG files work, but support is not identical across browsers. If a file cannot be decoded locally, the tool will ask you to choose another audio file instead of pretending the conversion succeeded.
The audio to text generator is tuned for short, clear English speech. It does not promise speaker labels, subtitles, summaries, translation, meeting notes, noise removal, or a fixed accuracy score. The transcript is a best-effort result that you can edit, copy, and download as a TXT file.
Use this audio to text generator when you have a quick recording and want a draft transcript fast. It works well for checking a voice memo, pulling words from a short clip, preparing a rough note, or converting a simple spoken test file into text. It is not designed to replace professional transcription for legal, medical, academic, or high-stakes work.
The best results come from clear speech, low background noise, and shorter audio. If a recording contains multiple speakers, music, echo, or specialized terms, expect to review the transcript manually. The audio to text generator gives you a practical editable starting point, not a guaranteed final transcript.
This audio to text generator is intentionally honest about what it can do. It runs a compact browser model and keeps the output simple: editable text, copy, and TXT download. These features are not part of this version:
Common questions about browser transcription, supported audio files, model loading, accuracy limits, and privacy boundaries.
Transcribe short audio locally with a browser-loaded model.
Input
Selected file
No file selected
Model
Whisper tiny English
Runtime
Browser worker
Output
Drop a short audio file to start.
First use may take longer because your browser needs to download the speech model. Later runs are usually faster after the model is cached.
This audio to text generator runs model inference in your browser. The audio file is decoded locally and is not uploaded to a TextKits server. The model and runtime assets are downloaded by your browser, and output quality depends on your browser, device, speech clarity, and the audio format your browser can decode.