ToolerWork
Audio Tools

Speech to Text

Transcribe any audio file to text with a real AI speech model that runs in your browser — no upload, no signup.

Step 1 of 2
Supports: MPEG, WAV, X-WAV, MP4, OGG, WEBM, FLAC, MP3, M4A
Max file size: 100MB
Drop your audio file here
or drag and drop here
Supports MP3, WAV, M4A, OGG, FLAC · Up to 100 MB

Files are processed securely in your browser. Nothing is uploaded.

How to use

  1. Upload audio

    Add an MP3, WAV, M4A, or OGG file (up to 100MB).

  2. Transcribe

    The AI model loads once and transcribes with timestamps.

  3. Review

    Check the timed segments before copying or downloading.

  4. Copy or download

    Copy the text, or save it as a .txt file.

Why ToolerWork?

Fast

Runs directly in your browser after the model loads.

Private

Processed locally — your audio never leaves your device.

Easy to Use

No signup or account required.

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How to transcribe audio to text

  1. Upload an MP3, WAV, M4A, or OGG file (up to 100MB).
  2. Click Transcribe — the AI model loads once and transcribes with timestamps.
  3. Review the timed transcript segments.
  4. Copy the text, or download it as a .txt file.

Useful for transcribing interviews, lectures, voice memos, podcasts, and meeting recordings — no signup, no per-minute pricing, and no paid API key required.

Speech to Text FAQ

Is this speech to text tool free?

Yes. It's completely free with no signup and no watermark. The AI model runs on your own device in the browser.

Is my audio uploaded to a server?

No. The AI model (about 280MB) is downloaded to your browser once and cached — every audio file after that is transcribed entirely on your device and never leaves it.

How accurate is the transcription?

It uses OpenAI's open-weight Whisper model (the same family used by many paid transcription tools), so accuracy is generally strong for clear speech. Background noise, heavy accents, or overlapping speakers can reduce accuracy — always skim the transcript before using it.

Which languages does it support?

The multilingual Whisper model used here supports dozens of languages, including English and Hindi/Hinglish content.

What audio formats are supported?

MP3, WAV, M4A, OGG, and FLAC, up to 100MB.

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