VideoSenseAI turns raw video into searchable data by analyzing both visuals and audio. Upload a video (or link) and automatically: • detect objects across frames and aggregate them • generate searchable transcripts from audio • build timelines you can search and jump through • dashboard-like analytics • export structured outputs like tables and CSVs It’s built for anyone working with long videos who wants to find moments, patterns, and insights — without watching everything end to end.

Hey Product Hunt I built VideoSenseAI after working with long videos (skiing footage, drone videos, recordings) and realizing how painful it is to find specific moments. Scrubbing timelines works — but it doesn’t scale. So I focused on a different approach: turning video into searchable data by indexing visuals and audio together. Instead of watching everything, you can search objects, words, and moments, and jump straight to what matters. This is still early, and I’d genuinely love feedback: • Is the value clear? • What types of videos would you use this on? • What feels missing or unnecessary? Happy to answer any questions — thanks for checking it out 🙏

What languages does it detect and transcribe? Any API in place or tools like zapier or make.com?

@sergios_charalambous

Great questions!

Languages: VideoSenseAI uses a Whisper-based ASR pipeline with automatic language detection + transcription for ~99 languages (including English, Greek, most EU languages, Arabic, etc.). If you already know the language, it can also be forced for slightly more consistent results.

Integrations / Zapier / Make: VideoSenseAI is not built on Zapier or Make.

It’s a fully custom Django-based platform with its own video processing, indexing, and AI pipelines (computer vision + speech + metadata). All analysis, storage, and querying happens inside our own stack, not via third-party automation tools.

That said, the platform is designed to integrate outward:

We expose APIs and webhooks for key events (e.g. transcript ready, objects/moments detected).
So tools like Zapier or Make can be connected if users want, but they’re optional, not a dependency.

In short:
core intelligence = built in-house
integrations = flexible by design

Happy to share more details if you have a specific workflow in mind