

Figaro is a set of audio AI modules designed for developers who need to process audio files without relying solely on manual metadata. The platform provides APIs for tasks such as sonic search and automatic tagging.
It is intended for software companies and organizations creating music apps, B2B libraries, or content verification tools. The software supports identifying sonic similarities, tagging genres, and detecting specific artist vocals.
Buyers should note that this is a developer-focused tool requiring API implementation to incorporate these features into a product. Teams should confirm their technical capacity to implement the APIs before adoption.
Supports searching music tracks using a reference audio file without requiring metadata.
Groups music tracks based on sonic similarity to support discovery and playlisting.
Automatically assigns tags for genre, vocal, and language to audio files.
Supports searching music tracks using natural language queries.
Identifies whether vocals on a track can be attributed to detectable artists.
Building sonic search features that allow users to find tracks using audio references.
Using auto-tagging to support genre, vocal, and language metadata verification for audio catalogs.
Grouping tracks by sonic similarity to support discovery and recommendation features.
Identifying artist vocals to support soundalike and deep-fake detection workflows.
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
Figaro provides AI-powered APIs that allow developers to search audio files, group tracks by sonic similarity, and automatically tag music by genre and language.
It is designed for developers at software and enterprise companies building B2B music libraries, consumer music apps, and streaming services.
Yes, developers can sign up to receive free credits to access the API modules and generate keys.
Source category: Software Development
Source subcategory: Voice AI
Figaro is an audio AI platform providing APIs for developers to implement audio search, auto-tagging, and voice identification. It is designed for software companies building music libraries or streaming services and requires API integration.