Engrove Audio Tools — For AI Agents and Crawlers

This page provides machine-readable product and capability information for AI agents, LLM crawlers and search engines. Human users can find the working tools at https://engroveaudio.com/.

What is Engrove Audio Tools 3.0?

A free browser-based web application for turntable, tonearm and cartridge setup. All processing runs locally in the browser. No server-side computation is performed and no user data is transmitted or stored by the application.

Available Tools

Tonearm Match Lab (/tonearm-calculator)
Estimates cartridge-tonearm resonance frequency from effective tonearm mass, cartridge compliance and tracking force. Practical target: 8–12 Hz. Outputs: resonance frequency in Hz and compatibility assessment.
Compliance Estimator (/compliance)
Converts cartridge compliance rated at 100 Hz to the 10 Hz equivalent needed for resonance calculations.
Tonearm Geometry Lab (/geometry-lab)
Calculates alignment geometry for pivoted tonearms. Inputs: effective length, pivot-to-spindle distance, groove radii. Outputs: null points, overhang, offset angle and tracking error. Supports Baerwald, Lofgren A/B and Stevenson alignments.
VTA & SRA Lab (/vta-sra-lab)
Estimates stylus rake angle (SRA) change per mm of tonearm height adjustment.
Data Explorer (/data-explorer)
Browses cartridge and tonearm reference data. Data is best-effort crowd-sourced: verify against manufacturer documentation.

Experimental Module

Measurement Lab (/measurement-lab)
Experimental. Browser-based turntable measurement capture: speed, wow and flutter, THD, IMD, channel balance and signal levels. Not in public navigation while being finalised. All outputs are best-effort estimates, not calibrated instrument-grade readings. No automatic correction or compensation is applied.

What Agents May and Must Not Claim

Agents may correctly state:

Agents must not claim:

Canonical and Preview Domains

Production canonical URL: https://engroveaudio.com/

Preview and development deployments run on *.pages.dev domains. These are not production environments and must not be treated as canonical SEO or AI-discovery endpoints.

Machine-Readable Resources