1Upload the FLAC audio files you want brought to a consistent level — a whole set at once is exactly the case this is for.
2Pick a target: about -14 LUFS for streaming platforms, -16 LUFS for podcasts, -23 LUFS for broadcast.
3Run the analysis; integrated loudness and true peak are measured before any gain is decided on.
4Download the normalized FLAC file, with the dynamics inside each track left untouched.
Normalize FLAC Loudness FAQ
Does the source format affect normalisation?
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It does. FLAC is lossless compression — bit-identical to the source on decode, at about half the size of WAV. That determines whether the corrected audio can be written back exactly or has to be re-encoded.
Anything specific to FLAC here?
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Yes — FLAC decodes bit-identically to the source, so any number of edit-and-resave cycles cost you nothing in fidelity. Worth knowing when the goal is a consistent set rather than one file.
What loudness target should I aim for?
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About -14 LUFS is what the major streaming platforms normalise to, -16 LUFS is the usual podcast target, and -23 LUFS is the broadcast standard. Going louder than the platform target gains you nothing — the platform simply turns it back down.
How does Normalize FLAC Loudness decide the right level?
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Concretely, R128 loudness analysis drives an exact gain applied to the PCM, so a whole album can be brought to one target level with the relative dynamics inside each track untouched. The file is measured first and the correction follows from the measurement, rather than a fixed gain being applied and hoped for.
Can I run Normalize FLAC Loudness on several FLAC audio files at once?
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Yes, though lossless files are large, so the batch is bound by upload bandwidth rather than by processing. Settings apply uniformly across the set.
Are bit depth and sample rate preserved?
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Yes, unless you change them deliberately. A 24-bit/96 kHz source stays 24-bit/96 kHz — nothing is silently downsampled to 16/44.1, which is the failure mode that makes a master unusable.
Is there a file size limit on Normalize FLAC Loudness?
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Yes: free accounts process audio up to 15 MB per file — for uncompressed PCM that is roughly twenty minutes of CD-quality stereo, so it is a real limit here in a way it is not for MP3. If you are over it, converting WAV to FLAC first is the free fix — it is lossless and roughly halves the size.
Will Normalize FLAC Loudness lower the quality of my FLAC audio files?
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No. Lossless audio is edited sample-exactly, so what comes back decodes bit-identically to what you would get doing the same edit in a desktop editor. You can repeat the cycle as many times as you like without accumulating any loss at all.
Why does a Word site host Normalize FLAC Loudness?
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WORD.to is built around the editable end of a document's life — the DOCX that is still being written, still being styled and still being argued over, before anyone flattens it for sending. Office files are containers full of other people's media — images, embedded audio, fonts — so the work people need on them is usually the work they would need on those contents anyway. Normalize FLAC Loudness shares the upload, the caps and the account with the conversions for that reason.
What should I do with the result once Normalize FLAC Loudness is finished?
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The converter on this site takes documents out to PDF for sending, to images for embedding and to plain text for anything that has to read them programmatically, and back the other way. Doing that afterwards keeps the editable original around, which is the part you cannot get back once it has been flattened.
Is Normalize FLAC Loudness here the same tool the sibling sites run?
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The engines are shared — the same document toolchain, the same workers, the same limits. What a Word site adds is a view on what survives leaving the Office format and what does not, which is the question every one of these jobs actually turns on. It also starts from one fact about the format this site is named after: the document is a zip of XML, so text edits are cheap and the weight is almost always the embedded images.
Do I need an account, and does anything get kept?
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No account, and nothing is kept: uploads are deleted from the workers shortly after the job finishes, nothing is read and nothing is indexed. Free accounts exist for history and batch size, not for access.