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Audio intelligence Concept

SignalLab

Tags, QA flags, and search for audio at scale.

Less about creativity, more about structure. SignalLab turns piles of audio files into searchable, taggable, QA-checked assets that downstream tools can actually use.

SignalLab — abstract brand imagery
Flagship
SignalLab Indexer
MVP
Indexer demo + JSON-out + one integration recipe.
Audience
Audio-heavy SaaS teams · Archives and broadcasters · Developers building on audio
Monetization
API · usage-based pricing · developer plans.
01 Live demo · indexer

SignalLab Indexer

Drop in audio, get back technical tags, semantic hints, risk flags, and a metadata schema your stack can ingest.

Files are decoded in your browser. JSON output is download-only.

How this is measured
02 Use cases
01

Archive enrichment

Drop 50 hours of unstructured recordings, get back tags, speaker turns, silence regions, and a searchable schema.

02

QA gates for ingest

Block files at upload time when they fail silence, clipping, or noise-floor thresholds.

03

Semantic audio search

Find every clip with "outdoor crowd noise + male speech" across a content library without listening to anything twice.

03 What makes it different

SignalLab treats audio like data. Schema-first, API-first, and built so the people downstream — editors, ML teams, archive managers — can actually use the output.

Also in SignalLab

  • Silence/clipping detector

    Catch the bad parts before your editor does.

  • Speaker/event marker

    Auto-mark turns, silences, and scene changes.

04 Roadmap
Now 01
  • Indexer demo concept
  • Tag schema draft
  • Silence/clipping detector
Next 02
  • REST API
  • Webhooks
  • Speaker diarisation MVP
Later 03
  • Semantic search beta
  • Custom tag training
  • On-prem option
05 Docs · tutorials

Read the system, not the marketing.