AAF to MAUD Converter

Get MAUD audio from AAF videos in your browser for free

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Audio Extraction

The converter pulls the audio track from AAF and delivers a clean MAUD file — stripping away the video data you do not need.

Multiple Upload Sources

Import files from your computer, Google Drive, Dropbox, or paste a direct URL. Multiple upload methods for maximum convenience.

Cross-Platform Access

Use the converter on any device with a web browser — Windows, macOS, Linux, iOS, or Android. No platform restrictions apply.

How to convert AAF to MAUD

1

Select files from Computer, Google Drive, Dropbox, URL or by dragging it on the page.

2

Choose maud or any other format you need as a result (more than 200 formats supported)

3

Let the file convert and you can download your maud file right afterwards

About formats

AAF (Advanced Authoring Format) is a professional multimedia interchange format designed to facilitate the exchange of production data between content creation tools. Originally developed by a consortium including Microsoft, Avid Technology, and Adobe Systems, the format is now maintained by the Advanced Media Workflow Association (AMWA). First released in 1998, AAF provides a rich metadata framework that preserves not just audio and video essence data but also editorial decisions, effects parameters, transitions, and timeline structures. This makes it particularly valuable in post-production workflows where projects move between different editing systems and need to retain complex composition information that simpler formats would discard. AAF supports both embedded and referenced media, giving editors the flexibility to bundle everything into a single file or keep media external with linked references. The format handles multiple video and audio tracks with full timecode support, making it a reliable vehicle for broadcast and film projects. A structured approach to metadata preservation means that transitions, keyframes, and clip relationships survive the round-trip between applications, reducing rework and manual reconstruction when collaborating across different production platforms.
Initial release: April 3, 1998
MAUD is an audio file format developed by MacroSystem for the Commodore Amiga platform, introduced in the early 1990s as part of their digital video and audio production tools. Built on the Amiga IFF (Interchange File Format) chunk architecture, MAUD files organize data into clearly delineated chunks — MHDR for the header, MDAT for sample data, and optional annotation chunks for metadata. The format supports mono and stereo layouts with bit depths of 8 or 16 bits and sample rates up to 48 kHz, which represented professional-grade specifications on Amiga hardware. Both signed linear PCM and A-law/mu-law encodings are available, offering a choice between fidelity and file size. MAUD saw primary use in the Amiga video production community, where MacroSystem Retina and VLab Motion boards demanded synchronized audio that the standard 8SVX format could not deliver. Conversion support exists today through SoX and libsndfile, ensuring vintage Amiga productions remain recoverable. Three distinct advantages stand out: clean IFF-based structure that any chunk-aware parser can navigate, 16-bit stereo capability ahead of typical Amiga audio, and lightweight overhead that left maximum CPU headroom for video rendering.
Initial release: 1992

Frequently Asked Questions

What is the benefit of converting AAF to MAUD?

Converting AAF to MAUD extracts the audio content, letting you share or listen to the soundtrack outside of editing software.

Which applications support MAUD?

Amiga emulators, retro computing tools, and Audacity can open Amiga MAUD audio files.

Can I convert several files at once?

Yes. Upload multiple AAF files and extract MAUD audio from each one in a single batch operation — fast and convenient.

Do I need to install anything?

Not at all. The converter runs in your web browser — no downloads, plugins, or desktop applications are required for the conversion.

Does it work on phones and tablets?

Yes. The converter runs in any modern mobile browser on iOS and Android devices, with the same functionality as desktop.