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@tigerabrodioss/neiro

v0.4.0

Published

Audio processing library for TypeScript. Loudness normalization, true peak limiting, silence trimming, and more. Runs anywhere — serverless, Edge, Node.

Readme

neiro 音色

Audio processing for TypeScript. Chainable, immutable, serverless-ready.

neiro (音色, "tone color") is a TypeScript library for processing audio on the server. Loudness normalization, true peak limiting, silence trimming, fades, slicing, and more — all through a clean, chainable API.

Runs anywhere: Node.js, Vercel, Cloudflare Workers, any serverless runtime.

Install

bun add @tigerabrodioss/neiro
# or
npm install @tigerabrodioss/neiro

Quick Start

import { AudioTrack } from "@tigerabrodioss/neiro";
import { readFileSync, writeFileSync } from "fs";

const buffer = readFileSync("input.mp3");
const track = await AudioTrack.fromBuffer({ buffer });

// Normalize loudness, trim silence, fade out
const result = track
  .normalize({ target: -14 })
  .trimSilence()
  .fadeOut({ ms: 10 });

writeFileSync("output.mp3", result.toMp3());

For raw pcm_48000 one-shot SFX, use fromPcm() and export WAV directly:

const pcm = readFileSync("input.pcm");
const track = AudioTrack.fromPcm({
  buffer: pcm,
  sampleRate: 48000,
  channels: 1,
  format: "s16le",
});

writeFileSync("output.wav", track.toWav());

Why

Audio files from different sources come in at wildly different volumes, with padding, with clipping. Fixing this usually means reaching for ffmpeg (heavy, binary dependency) or cobbling together multiple npm packages.

neiro gives you a single, typed API that handles the common cases. The DSP internals (ITU-R BS.1770-4 loudness, true peak detection via 4x oversampling, K-weighting filters) are implemented in TypeScript — no WASM, no native binaries, no ffmpeg.

Two small runtime dependencies handle MP3 codec work: lamejs for encoding and audio-decode for decoding. Everything else is hand-written TypeScript.

API at a Glance

Methods that take options use a single object argument, while no-arg methods like reverse(), toMono(), and toStereo() stay no-arg.

// Load
const track = await AudioTrack.fromBuffer({ buffer: mp3OrWavBuffer });
const track = AudioTrack.fromPcm({
  buffer: pcmBuffer,
  sampleRate: 48000,
  channels: 1,
  format: "s16le",
});
const track = AudioTrack.fromChannels({
  channels: [leftSamples],
  sampleRate: 44100,
});
const track = AudioTrack.silence({ durationMs: 500 });

// Measure
track.loudness(); // Integrated LUFS (ITU-R BS.1770-4)
track.truePeak(); // True peak in dBTP (4x oversampled)
track.rms(); // RMS level in dB
track.duration; // Seconds
track.sampleRate; // Hz
track.channels; // Channel count

// Transform (each returns a new AudioTrack — immutable)
track.normalize({ target: -14, peakLimit: -1.5 });
track.trimSilence({ thresholdDb: -30, headMs: 10, tailMs: 50 });
track.gain({ db: 6 }); // +6 dB
track.fadeIn({ ms: 5 }); // 5ms fade-in
track.fadeOut({ ms: 10 }); // 10ms fade-out
track.slice({ startMs: 0, endMs: 2000 }); // First 2 seconds
track.resample({ sampleRate: 48000 }); // Change sample rate explicitly
track.toMono(); // Downmix by averaging channels
track.toStereo(); // Mono -> stereo, or downmix multi-channel then duplicate
track.concat({ other }); // Join end-to-end
track.mix({ other }); // Overlay
track.reverse();
track.speed({ rate: 1.5 }); // 1.5x speed (no pitch preservation)

// Export
track.toMp3({ bitrate: 128 }); // Buffer
track.toWav(); // Buffer
track.toPcm(); // { channels: Float32Array[], sampleRate }

fromBuffer() does not sniff raw PCM. Raw PCM has no header, so use fromPcm() when you already know the sample format.

trimSilence() uses internal 10ms RMS analysis windows, with defaults of thresholdDb: -30, headMs: 10, and tailMs: 50. It trims based on window loudness rather than individual sample peaks, which makes it more stable around brief transients.

concat() and mix() stay strict. They do not resample or convert channel layouts implicitly, so use toMono(), toStereo(), and resample() when you need to normalize tracks intentionally first.

All transforms chain:

const output = track
  .normalize({ target: -20 })
  .fadeIn({ ms: 500 })
  .fadeOut({ ms: 2000 })
  .toMp3({ bitrate: 192 });

Examples

Normalize a sound effect

const sfx = await AudioTrack.fromBuffer({ buffer: raw });
const processed = sfx
  .normalize({ target: -14, peakLimit: -1.5 })
  .trimSilence()
  .fadeOut({ ms: 10 });
const output = processed.toMp3();

Ingest raw PCM for a one-shot SFX

const track = AudioTrack.fromPcm({
  buffer: pcm,
  sampleRate: 48000,
  channels: 1,
  format: "s16le",
});

const wav = track.toWav();

This is the intended pcm_48000 path for short one-shot assets. Keep everything at 48 kHz end-to-end, and only concat() or mix() tracks that already share the same sample rate and channel count.

Prepare background music

const music = await AudioTrack.fromBuffer({ buffer: raw });
const processed = music
  .normalize({ target: -20 })
  .fadeIn({ ms: 500 })
  .fadeOut({ ms: 2000 });
const output = processed.toMp3({ bitrate: 192 });

Normalize formats before concat or mix

const normalized = track
  .toStereo()
  .resample({ sampleRate: 48000 });

const padded = AudioTrack.silence({
  durationMs: 500,
  sampleRate: normalized.sampleRate,
  channels: normalized.channels,
}).concat({ other: normalized });

toStereo() uses a simple downmix-to-mono-then-duplicate rule for inputs with more than 2 channels.

Analyze loudness

const track = await AudioTrack.fromBuffer({ buffer });
console.log(`Loudness: ${track.loudness()} LUFS`);
console.log(`True peak: ${track.truePeak()} dBTP`);
console.log(`Duration: ${track.duration}s`);

Build a sequence

const beep = await AudioTrack.fromBuffer({ buffer: beepMp3 });
const gap = AudioTrack.silence({
  durationMs: 300,
  sampleRate: beep.sampleRate,
  channels: beep.channels,
});
const sequence = beep
  .concat({ other: gap })
  .concat({ other: beep })
  .concat({ other: gap })
  .concat({ other: beep });
const output = sequence.toWav();

License

MIT