← TrendWatcher
arXiv cs.AI
6/10

SoundFind

Search a podcast archive or interview folder the way you actually remember it — by the sound. Type 'crowd cheering' or 'phone rings' and jump to the exact timestamp.

Target user

Independent video editors and podcast producers hunting through hours of B-roll and multi-cam interviews for a specific moment

Features
  • Natural-language and free-text acoustic query ('doorbell, then laughter')
  • Multi-file index built on upload with private link sharing
  • Timecode-accurate moment bookmarks exportable to Premiere and DaVinci
  • Client preview links that play just the searched clip with no download required
Why now

Audio-visual self-supervised models now produce reliable event-level embeddings without manual tagging, so a sound-first index can be built automatically the moment a creator uploads.

Signals · overall 6/10
Demand
6/10

Real pain exists for editors scrubbing long footage, but sound-event search is only critical for B-roll; podcast producers mostly need transcript search which Descript/Mixpeek already satisfy.Find Podcast Timestamps Instantly | AI Podcast Search ToolAudio Search API | Speech, Music & Podcast Search | Mixpeek

Whitespace
5/10

Imaginario AI is a direct competitor already offering 'find video moments by what's said or heard' including sounds across a whole library; Mixpeek provides audio event detection API — the whitespace is narrow.Audio search - Imaginario AIHome - Imaginario AI

Monetization
6/10

Imaginario AI sells paid team plans for video search/clipping and Mixpeek sells API access; video editors routinely pay $15–30/mo for Descript/Adobe, so willingness to pay is established in the segment.Pricing - Imaginario AIBest AI Podcast Editing Tools 2026

Longevity
6/10

Audio-visual self-supervised models (AV-JEPA, LeJEPA) are trending and content libraries keep growing, but incumbents like Adobe/Descript are likely to fold sound-event search into existing suites, squeezing standalone tools.Best AI Podcast Editing Tools in 2026 (Tested & Compared)

Feasibility
5/10

Buildable today by combining off-the-shelf audio embeddings + vector search + a player UI; Imaginario and Mixpeek prove the stack works, but it still requires nontrivial engineering and storage for event-level indexes.Audio Search API | Speech, Music & Podcast Search | Mixpeek

AV-JEPA: Extending LeJEPA to Audio-Visual Self-Supervised LearningarXiv cs.AI · 2026-07-20 (4d ago)