100% local and secure
Your data stays on your device and is never sent to our servers.
Normalize audio loudness locally to a LUFS target without uploading the file to a server.
Loudness normalization adjusts perceived level toward a consistent LUFS target, which is useful for matching several files without manual gain changes.
Your data stays on your device and is never sent to our servers.
Generate, convert, or validate technical data with purpose-built controls.
Technical formats and syntaxes suited to each generator, converter, or validator.
Get a clean, ready-to-use result in seconds without installing software or configuring a complex workflow.
Fonctionnement
Loudness normalization adjusts perceived level toward a consistent LUFS target, which is useful for matching several files without manual gain changes. The shared Audio engine validates the settings, loads FFmpeg/WASM on demand, and applies the transformation without sending media to a server. The resulting file becomes either a local download or a typed audio resource passed to the next Workspace step. This architecture avoids maintaining different business logic for the public tool, widget, and pipelines.
Prepare a more consistent file before publishing it on a website, podcast feed, or sharing platform.
Apply exactly the same settings to several files through automatic collection mapping in Workspace.
Place this operation between audio import and conversion or download steps in a reproducible workflow.
Guide
Choose a compatible audio file among the formats supported by the local processing engine.
Set the required options and run the transformation directly inside your browser.
Download the generated file or reuse the exact same operation inside a Workspace pipeline.
No. Processing runs locally in your browser and the source audio is not uploaded to Bethemesh.
The FFmpeg/WASM engine is loaded on demand the first time an operation needs it and then remains available for the session.
Yes. The same shared transformation is available in pipelines and can be mapped automatically over an audio collection.
Combine trimming, channels, sample rate, normalization, compression and export into a clear, reusable audio processing pipeline.
Understand peak level, RMS and LUFS, when normalization is useful, and how to make several audio files sound more consistent.
Convert, trim, adjust volume and merge MP3, WAV, FLAC, OGG, M4A or Opus files, then combine these operations in a pipeline.
Adjust audio gain locally in the browser and understand clipping, sensible levels and pipeline order.
Recommended workflow
Discover tools that naturally fit before, after, or alongside this one.
Speed up or slow down an audio file without changing pitch.
Convert audio to mono or stereo.
Resample audio to 44.1 kHz, 48 kHz or another rate.