Podcast & Streaming Loudness - AES77

Podcast & Streaming Loudness - AES77 is tuned for podcast and spoken-word style delivery where a dedicated speech-friendly loudness profile is more useful than a generic music target. It gives you a ready-made Magnetron profile for checking incoming files, deciding whether they actually need correction, and exporting results in a repeatable way when they do.

• Validate files against the recipe's built-in target of -18 LUFS, with a 2.0 LU tolerance and a -1 dBTP ceiling.
• Correct files that fall outside the recipe profile without rebuilding the workflow by hand.
• Re-measure processed output so you can confirm the delivered file really landed where expected.
• Export all files or fixed files only, with optional folder and naming rules for batch delivery.

The recipe separates spec validation from processing tolerance. The built-in loudness profile defines what the target looks like, while the editable process tolerance decides how far a file may drift before Magnetron actually processes it. That makes the recipe practical in real work: strict enough to catch delivery risks, flexible enough to avoid unnecessary rewrites.

Native audio files such as WAV and AIFF remain the preferred path because Magnetron can analyze, process, and revalidate them more predictably. Optional FFmpeg support extends the recipe to additional audio and container formats, but encoded files can require decode and re-encode steps, which may slightly change metadata, timing, or codec details after export.

Built-in Target

• Integrated loudness: -18 LUFS
• Allowed tolerance: 2.0 LU
• True peak ceiling: -1 dBTP
• Dialog-gated analysis: disabled

Workflow

• Analyze source files against the recipe profile
• Decide whether processing is needed based on the configured process tolerance
• Optionally apply limiting when the required gain change would otherwise clip
• Export all files or fixed files only
• Revalidate the output after processing for an extra confidence pass

Settings

• Auto start
• Process Tolerance
• FFmpeg support for additional formats
• Limiter: none, fast sample-peak, secure true-peak
• Export: always, ask, never
• Files: all files or fixed files only
• Overwrite
• Custom Folder, Sub Folder, Name Tag
• Revalidate

That makes Podcast & Streaming Loudness - AES77 a strong fit when you repeatedly deliver to the same target and want the target, export rules, and QC behavior ready to go every time.