AI Audio Transcriber
Transcribe MP3, WAV, M4A, WebM, OGG, and FLAC audio to text using Whisper AI. Free, no signup — powered by Whisper-tiny running entirely in your browser. Audio never leaves your device.
How the AI Audio Transcriber Works
- 1Upload an audio file. Click the dropzone or drag an audio file onto it. MP3, WAV, M4A, WebM, OGG, and FLAC are supported.
- 2Click Transcribe Audio. On first use, Whisper-tiny (~75 MB) downloads and caches. A progress bar shows download status. Subsequent transcriptions are much faster.
- 3Review and edit the transcript. The transcribed text appears in an editable textarea. Correct any errors directly in the browser.
- 4Copy or download. Click Copy to copy to clipboard, or Download .txt to save the transcript as a text file.
Whisper vs. Web Speech API
The existing Speech to Text tool on this site uses the browser's Web Speech API — it transcribes live microphone input in real time but does not support file uploads and sends audio to a cloud service (Google's speech recognition backend in most browsers).
This tool is different. Whisper-tiny runs entirely in your browser using WebAssembly and processes audio files you upload. No audio data leaves your device. This makes it suitable for transcribing recorded meetings, interviews, lectures, voice memos, and any audio where privacy matters.
Tips for Better Transcription Quality
Use clean, single-speaker audio
Whisper performs best with clear audio, a single dominant speaker, and minimal background noise. Conference room recordings with multiple overlapping voices will have lower accuracy.
Convert to MP3 first if needed
If your file fails to load, convert it to MP3 using the MP4 to MP3 Converter before uploading here. MP3 has the broadest browser decoder support.
Review and edit after generation
The transcript textarea is editable. Correct proper nouns, technical terms, and filler words directly before copying or downloading the final text.
Split long recordings into segments
For recordings over 20–30 minutes, splitting into shorter segments before uploading reduces memory load and keeps transcription processing smooth.
Frequently Asked Questions
How does the AI audio transcriber work?
The tool uses Transformers.js to run OpenAI's Whisper-tiny model entirely in your browser via WebAssembly. The audio file is decoded using the Web Audio API, resampled to 16 kHz (Whisper's required sample rate), and processed by the model in 30-second chunks with overlap for continuity. The model file (~75 MB) downloads from Hugging Face on first use and is cached in your browser.
Is my audio uploaded to a server?
No. The Whisper model runs entirely in your browser. Your audio file is processed locally using the Web Audio API and WebAssembly — no audio data is transmitted to any server. This makes the tool suitable for transcribing confidential recordings, meetings, interviews, and personal voice memos.
Which audio formats are supported?
MP3, WAV, M4A, WebM, OGG, and FLAC. The tool uses the browser's built-in Web Audio API to decode the file, so format support depends slightly on your browser. Chrome and Edge have the broadest support. If a file fails to decode, try converting it to MP3 or WAV first.
How accurate is the transcription?
Whisper-tiny is accurate for clear, high-quality audio with a single speaker and minimal background noise. Accuracy decreases with heavy accents, multiple overlapping speakers, poor microphone quality, or high background noise. For longer recordings, the chunked processing helps maintain accuracy across the full audio.
Is there a file size or length limit?
There is no hard limit enforced by the tool. However, very long audio files (over 30 minutes) may strain browser memory on lower-spec devices. For long recordings, consider splitting them into segments first using a tool like the MP4 to MP3 converter or an audio editor.
Can I edit the transcript after generation?
Yes. The transcript textarea is editable — you can correct errors, format the text, and remove filler words directly in the browser before copying or downloading. Click Download .txt to save the final edited version.
How is this different from the Speech to Text tool?
The Speech to Text tool uses the browser's built-in Web Speech API for live microphone input — it requires speaking in real time and does not support file uploads. This Audio Transcriber processes uploaded files using the Whisper model, making it suitable for transcribing recordings you already have.