AI Audio Transcriber

Convert audio files to text instantly using secure, offline WebAssembly neural networks.

Settings & Upload

Browse for Audio or drag it here

Supports MP3, WAV, M4A, MP4, OGG
audio.mp3

Transcription Output

Upload an audio file to view the transcript
0%
Preparing engine...
Fetching the Whisper model. First run requires a 75MB download.

About the AI Audio Transcriber Tool

What is an AI Audio Transcriber?

An AI Audio Transcriber is a frontend speech-to-text utility powered by WebAssembly. It runs OpenAI's open-source Whisper model locally to convert voice recordings into text logs without transmitting your raw audio files to an external API.

How to Use This Tool

  1. Step 1: Dump the file. Drag your MP3, WAV, or MP4 directly into the upload drop zone.
  2. Step 2: Spin up the engine. Click start. The browser fetches the compiled AI weights and boots the WASM background worker.
  3. Step 3: Run the model. Give it a minute. The neural network processes the audio array and streams text back to the UI in real-time.
  4. Step 4: Export the logs. Copy the raw text or download perfectly timed SRT subtitle files directly to your hard drive.

Common Use Cases

Here are some common use cases for the AI Audio Transcriber tool:

  • Generating video subtitles: Dropping a raw podcast MP4 into the tool to grab an SRT file for YouTube before hitting publish.
  • Scrubbing meeting notes: Dumping a recorded Zoom call WAV file to get a quick text transcript for the remote Slack channel.
  • Interview logging: Journalists processing sensitive offline voice recordings locally so sources stay completely anonymous.
  • Accessibility handoffs: Front-end devs generating VTT subtitle tracks for custom HTML5 video players natively.
  • Lecture indexing: Students pasting an hour-long MP3 class recording to pull out exact quotes for study guides.
  • Voice memo triage: Parsing quick phone voice notes into a raw text format to push into a massive Notion database.

Frequently Asked Questions

Does my audio leave the browser?

Absolutely not. The WebAssembly model executes strictly on your local machine. We don't spin up a backend to process your files.

Can it handle massive files?

Not exactly. Your browser RAM limits the file size. Stick to audio clips under 30 minutes for the best local performance.

What formats do you support?

Dump any standard web media format. We parse MP3, WAV, OGG, M4A, and even extract audio natively from MP4 video containers.

How accurate is the output?

Extremely accurate. It runs a quantized version of the industry-standard Whisper neural network specifically fine-tuned for English recognition.

Can I get timed subtitles?

Yes. The engine tracks precise speech timestamps. You can export perfectly formatted SRT or VTT files via the dropdown menu.

Why did my laptop fan turn on?

It crunches heavy math. Audio transcription temporarily maxes out your CPU threads until the raw text spits out. It stops the moment the file finishes.