YouTube Music Video Analyzer (Lyria-Ready)

by audio.withzero.xyz·Website ↗API ↗

YouTube Music Video Analyzer (Lyria-Ready) is a paid API for AI agents from audio.withzero.xyz, paid per call via MPP, $0.02/call, status unknown (last checked 2026-10-12, last successful call 2026-08-05).

Analyzes a bounded window of a public YouTube music video to extract tempo, key, groove, instrumentation, production details, timestamped sections, and outputs a ready-to-use Google Lyria music generation request.

Price / call$0.02

Seller volume →—

Success58%

StatusUnknown

How this service works

Analyze a public YouTube or direct-audio music reference, optionally combine Gemini semantics with local BPM/key/downbeat/loudness DSP, and return bar-aware sections plus a ready-to-generate original Lyria request.

Output

Returns a structured JSON object containing: source metadata (URL, window, analysis method), full music analysis (BPM with confidence and feel, key/mode with confidence, time signature, genres, moods, drum/bass/lead/harmony descriptions, instrumentation list, production characteristics, energy arc, signature traits, timestamped section breakdown, overall confidence score, and warnings), plus a compiled ready-to-use Google Lyria generation request that mirrors the analyzed track's musical character, and pricing metadata.

Example use cases

Reference track breakdown for music production

“Can you analyze the section from 0 to 240 seconds of https://www.youtube.com/watch?v=example and give me a full breakdown of the drums, bass, key, and production style? I want an instrumental Lyria request at the end so I can generate something in that vibe.”

Genre and mood fingerprinting for playlist curation

“Look at this YouTube video from second 30 to second 180: https://www.youtube.com/watch?v=example — what are the genres and moods, what's the energy arc like, and what instrumentation is being used throughout?”

Timestamped section map for remixing

“Analyze the full first 5 minutes of https://www.youtube.com/watch?v=example and give me timestamped sections with descriptions of how the energy and arrangement change — I'm trying to understand the song structure for a remix. Focus on the drum pattern and chord movement.”

Technical details

Endpoint

POSThttps://audio.withzero.xyz/api/v1/music-analyses?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a deep, structured musical analysis of a specific reference track on YouTube — especially when your goal is to generate an original Lyria song inspired by that track. It is superior to generic audio analysis when you want timestamped section breakdowns, drum/bass/lead decompositions, and a production-ready Lyria prompt all in one call. Prefer this over manual music analysis when you need structured JSON output usable for downstream AI music generation pipelines.

Side effects

Private or unlisted YouTube videos return an error — only public videos are supported
Video window shorter than 30 seconds is rejected
endSec must be at least 30 seconds greater than startSec
Target duration outside 30–300 second range is rejected
Videos with no detectable music (e.g. speech-only) may return low confidence scores and sparse analysis
YouTube URL parsing failures if URL is malformed
Network or Gemini model errors may cause transient failures
Analysis confidence may be low for heavily mixed, live, or distorted recordings

Input

Schema · Request body

Field	Type	Description
seed	integer	Optional best-effort Lyria seed copied into the compiled request.
audio	string	Base64 MP3 or WAV for hybrid semantic + DSP analysis (15 MiB decoded maximum).
focus	string	Optional analysis emphasis, for example "prioritize the drums, bass groove, and chorus lift".
endSecrequired	integer	End of the analyzed video window in whole seconds. Defaults to 300.
audioUrl	string	Public HTTPS MP3/WAV/M4A/OGG/FLAC URL for hybrid semantic + DSP analysis.
startSecrequired	integer	Start of the analyzed video window in whole seconds. Defaults to 0.
mastering	object	Optional mastering controls copied into the ready-to-generate Lyria request.
youtubeUrl	string	Public YouTube video URL to analyze. Private and unlisted videos are not supported.
audioFormat	string	Required when audio is supplied as base64.
barAlignmentrequired	string	Optionally snap compiled section boundaries to the detected musical grid. Omit to preserve the semantic timestamps.
instrumentalrequired	boolean	Compile an instrumental Lyria request by default; set false to permit original vocals.
analysisDepthrequired	string	Deep mode requests finer bar-level arrangement, envelope, and transition evidence.
tailReserveSecrequired	integer	Optionally reserve a non-essential final tail because Lyria can end several seconds early.
matchPriorities	object	Optional 1–5 importance weights. Higher-weight traits receive stronger analysis, prompting, and candidate-ranking emphasis.
targetDurationSec	integer	Optional duration for the compiled Lyria song; otherwise the detected music duration is used, clamped to 30–300 seconds.
sectionTargetCount	integer	Requested number of functional sections before the safety tail is appended.
instrumentalLeadModerequired	string	How analyzed vocal functions should become instrumental parts. Piano-led makes the main vocal role an expressive piano melody.
instrumentalLeadMapping	array	Custom vocal-function mappings. These override the selected instrumentalLeadMode role by role.
instrumentalLeadContinuityrequired	string	Persistent keeps the mapped lead instrument in front after every section transition in the compiled Lyria request.

Output

Schema · Response

Field	Type	Description
modelrequired	string
sourcerequired	object
analysisrequired	object
price_usdcrequired	string
dspEvidence	object
limitationsrequired	array
lyriaRequestrequired	object	Ready to POST to /api/v1/songs/lyria-3-pro.

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