OGV to MAUD Converter

Extract Amiga MAUD audio from Ogg Video files

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Specialized Output

MAUD serves retro Amiga computing. Get OGV audio into the exact format your target system requires.

Cloud Conversion

MAUD extraction from OGV runs on our servers — no specialized software needed on your computer.

Secure Processing

OGV uploads are deleted after conversion. MAUD output is purged from servers within 24 hours.

How to convert OGV 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

OGV (Ogg Video) is an open multimedia format that combines the Theora video codec with the Ogg container, both developed by the Xiph.Org Foundation as royalty-free alternatives to proprietary media formats. Theora 1.0 reached stable release in November 2008, though development had been underway since 2002 based on the VP3 codec donated by On2 Technologies. Theora compresses video using block-based motion compensation with discrete cosine transform coding, achieving quality roughly comparable to MPEG-4 Part 2 at similar bit rates. The Ogg container uses a page-based multiplexing scheme that interleaves Theora video with Vorbis or Opus audio, supporting features like chained streams for seamless concatenation and multiplexed streams for synchronized multimedia playback. OGV was historically significant in the push for open web standards, serving as one of the first freely implementable video formats proposed for the HTML5 video element. Firefox and Chrome both shipped native OGV support, demonstrating that web video could function without reliance on proprietary plugins or licensed codecs. The format also supports FLAC lossless audio, Kate subtitle streams, and Skeleton metadata within the Ogg container. While WebM and AV1 have largely replaced OGV in the open-source video landscape, the format remains available in Linux distributions, open-source media tools, and contexts where complete freedom from patent concerns is a priority.
Initial release: November 3, 2008
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

Why convert OGV to MAUD?

MAUD is designed for retro Amiga computing. Extract OGV audio into this specialized format for its intended applications.

What uses MAUD files?

Applications and systems built for retro Amiga computing accept MAUD as their native audio input format.

Is MAUD widely compatible?

MAUD is a specialized format. SOX and dedicated tools handle it; mainstream players may not support it.

Will quality be adequate?

MAUD quality is suited for its intended purpose — retro Amiga computing applications work optimally with this format.

Can I batch convert?

Upload several OGV files and extract MAUD audio from each simultaneously for efficient processing.