Convert OPUS to AAC

Convert OPUS files to AAC locally, completely free and with maximum privacy.

Drag and drop your files here

or click to browse local files (large files supported, limited only by browser RAM)

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How to convert OPUS to AAC

  1. Drop your .opus files above, or click Upload Files. You can add many files at once.
  2. AAC is already selected as the output. Open the settings (gear icon) to fine-tune the result.
  3. Click Convert All. FFmpeg runs inside your browser through WebAssembly; nothing is uploaded.
  4. Download your .aac files as soon as each one finishes.

What to know about OPUS to AAC conversion

  • You can choose the bitrate, sample rate and channels (mono, stereo or a 3D spatial effect).

OPUS vs AAC

FeatureOPUS (Opus Audio Codec)AAC (Advanced Audio Coding)
Compressionlossylossy
Best forvoice, podcasts and streaming at very low bitratesgood quality at low bitrates for streaming
Opens inbrowsers, VLC, Android and WhatsApp-style messaging appsApple devices, browsers and most media players

OPUS (Opus Audio Codec): A highly versatile, open-source lossy audio format developed by the Xiph.Org Foundation, optimized for speech and high-fidelity streaming.

AAC (Advanced Audio Coding): A lossy digital audio compression format designed as the successor to MP3, offering higher sound quality at similar bitrates.

Conversion options

  • Bitrate from 96 to 320 kbps
  • Sample rate: 22.05, 44.1 or 48 kHz
  • Mono, stereo or 3D spatial audio
  • Playback speed (0.5× to 2×)

Frequently asked questions

Is it safe to convert OPUS to AAC here?

Yes. Your files are processed entirely on your own device by WebAssembly code running in the browser. They are never uploaded, so nobody else can see them, and the converter keeps working even if your connection drops after the page loads.

Is there a file size limit?

There is no server-side limit. The only limit is the memory available to your browser, typically 1.5–4 GB on desktop computers.

Can I convert several OPUS files at once?

Yes. Add as many files as you like; they are converted in parallel according to your device's CPU cores, and you can apply the same settings to all of them.

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