Pianolyze vs Visiby: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Pianolyze and Visiby — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Pianolyze

Freemium

In-browser, on-device piano transcription: drag & drop audio to get a piano-roll view and slowed playback with no uploads.

On-Device Transcription: Runs the transcription model fully in the browser so audio is processed locally, minimizing latency and ensuring recordings are not uploaded to remote servers.
Drag-and-Drop Audio Input: Accepts common file formats (MP3, WAV, FLAC, M4A) via simple drag-and-drop to quickly start analysis without complex imports.
Piano-Roll Visualization: Generates an interactive piano-roll view of detected notes, showing pitch and timing to help users inspect performance details visually.
Variable Playback Speed: Allows slowing down audio playback to inspect fast passages or subtle timing details while keeping the visual transcription synchronized.
Local Privacy by Design: Architecture avoids cloud uploads, making the tool suitable for users concerned about confidentiality of recordings and intellectual property.
Immediate, Low-Latency Analysis: Browser execution provides near-instant transcription and visualization for rapid iteration during practice or review.
On-device piano transcription performed in the browser (no uploads to a server)
Drag-and-drop support for MP3, WAV, FLAC, M4A audio files
Piano-roll visual representation of detected notes
Playback controls including slow-down for practice and analysis
Local processing to preserve user privacy and eliminate file transfers

Practice Analysis: Students and teachers can upload practice recordings to inspect missed notes, timing, and articulation using the piano-roll and slowed playback.
Performance Review: Pianists can quickly analyze live or recorded performances for phrasing and timing issues without sending files to third-party servers.
Music Transcription Prep: Musicians can extract note-level information from recordings as a starting point for creating scores or MIDI arrangements.
Rehearsal Feedback: Teachers can generate visual feedback for pupils showing where notes deviate from intended pitches or rhythms during lessons.
Research & Analysis: Music researchers can use on-device transcriptions to study performance characteristics across takes while preserving data privacy.
Musicians transcribing piano recordings into a piano-roll for practice and analysis
Students slowing down passages to learn difficult sections
Composers extracting note information from recorded takes
Music teachers demonstrating performance details visually without uploading student recordings
Quick on-device analysis of piano audio where privacy is required

FNA Technology

Paid

AI visibility platform that tracks how ChatGPT, Perplexity, Claude, Gemini and AI Overviews cite your brand, and ships fixes.

AI Citation Tracking: Continuously samples roughly 50,000 prompts per week across ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews to record where and how a brand is cited.
Per-Engine Visibility Scoring: Reports a composite AI Visibility score plus share of voice and prompts won or lost, broken out engine by engine so declines can be traced to a specific model.
Prompts & Citations Explorer: Lets teams open any tracked prompt and read the actual model answer to see which competitor was named and why.
Brand Entity Analysis: Maps the adjectives each engine associates with your brand versus competitors and suggests reframing plays to change that portrait.
Competitor Intelligence: Tracks rival citation share on comparison and 'alternatives to' prompts, highlighting categories where a competitor dominates.
Prioritized Action Plan: Converts findings into P0/P1 recommendations such as schema additions or comparison pages, each with a time estimate and projected score gain.
Site Audit for AI Parseability: Audits pages for missing entity definitions, structured Q&A data and other signals that prevent models from citing the site correctly.
White-Label Reporting and API: Higher tiers add white-label client reports, SSO/SAML and API access for agencies managing multiple brands.

AI Search Monitoring: Marketing teams track whether ChatGPT and Perplexity recommend their product or a competitor on high-intent category prompts.
Competitive Benchmarking: Brands quantify how much citation share a named rival is capturing on 'alternatives to' and 'best of' queries.
Content Prioritization: Content teams decide which pages to write or refresh based on which prompts are currently missed rather than on keyword volume alone.
Technical AEO Audits: SEO specialists find pages lacking FAQ schema or entity markers that keep answer engines from parsing them.
Agency Client Reporting: Agencies run pooled prompt tracking across multiple client workspaces and deliver white-label AI visibility reports.
Executive Reporting: Operators present a weekly digest showing search clicks alongside AI citation share to explain traffic shifts leadership sees.