veloura-audio 0.5.0

Reusable Python audio engine with crossfade and beat-aware transition planning.

Veloura

Veloura is a reusable Python audio transition engine for smooth queue playback. It provides FFmpeg-backed PCM decoding, equal-power crossfades, transition analysis, beat-aware planning, and a small CLI for local inspection.

Veloura is framework-agnostic. Use it in streamer tools, radio pipelines, desktop music apps, Discord/Twitch bots, or backend automation without tying your project to one bot implementation.

Features

• Equal-power crossfade mixing for signed 16-bit PCM audio
• Discord-independent PCM queue player with snapshots and playback controls
• Smart transition planning based on track duration, silence trim, and loudness
• Beat/BPM analysis with beat-aware transition plans
• Project-local or user-cache transition analysis storage
• Optional yt-dlp stream resolution for URLs and search queries
• Optional Discord audio source compatibility
• Pure-Python PCM fallback for Python builds without audioop

Requirements

• Python 3.12 or newer
• FFmpeg for decoding, playback, silence analysis, loudness analysis, and beat analysis
• yt-dlp only when resolving online stream/search inputs
• discord.py and PyNaCl only when using the Discord audio source directly

Installation

Install the core package:

pip install veloura-audio

Install stream resolution support:

pip install "veloura-audio[stream]"

Install Discord voice support:

pip install "veloura-audio[discord]"

Install every optional integration:

pip install "veloura-audio[all]"

Quick Start

from veloura.audio import AudioTrack, PCMQueuePlayer, transition_preset

config = transition_preset("streamer")

track = AudioTrack.from_source(
    "/music/current-song.flac",
    title="Artist - Current Song",
    duration=184,
)

player = PCMQueuePlayer(volume=0.65, crossfade_seconds=config.base_crossfade_seconds)
player.enqueue(track)

frame = player.read_frame()

For online sources, install veloura-audio[stream] and resolve a playable stream:

import asyncio

from veloura.audio import resolve_stream_track, transition_preset


async def main():
    track = await resolve_stream_track(
        "artist song official audio",
        transition_config=transition_preset("streamer"),
    )
    print(track.title, track.stream_url)


asyncio.run(main())

CLI

Veloura exposes the same core tools through python -m veloura or the veloura console script:

python -m veloura presets
python -m veloura prepare ./song.mp3 --preset streamer
python -m veloura analyze ./song.mp3
python -m veloura plan ./current.mp3 ./next.mp3 --preset broadcast

For YouTube/search inputs, install veloura-audio[stream] and add --resolve:

python -m veloura plan "current song" "next song" --preset streamer --resolve

Transition analysis is cached under ~/.cache/veloura by default, or under the directory set in VELOURA_CACHE_DIR. Use --cache-dir for a project-local cache, or --no-cache when comparing fresh analysis.

Presets

• streamer: balanced transitions for livestream/background music
• broadcast: longer, smoother radio-style blends
• low-latency: shorter analysis windows for weaker machines or fast queues
• automix: beat-aware pair planning with conservative tempo matching

Aliases such as streamer-safe, broadcast-smooth, auto-mix, and fast are also available.

For adjacent tracks, call prepare_automix_transition_pair before playback of the next track starts. It analyzes beat windows, applies a pair-specific crossfade length, trims weak intro audio on confident matches, and nudges tempo only within a small safe range.

Apps that manage playback through PCMQueuePlayer can call player.prepare_next_transition_pair(...) when the current and next track are known. Discord bots can keep using CrossfadeAudioSource as an adapter for Discord voice playback.

Standalone Example

The example player resolves local files or stream queries, prepares transition analysis, mixes the queue, and pipes PCM into ffplay:

python examples/streamer_player.py ./song-a.mp3 ./song-b.mp3 --preset streamer
python examples/streamer_player.py ./song-a.mp3 ./song-b.mp3 --cache-dir ./veloura-cache