make-sense
make-sense is an open-source video ai project written in TypeScript with 3,561 stars on GitHub.
The authors describe it as: “Free to use online tool for labelling photos. https://makesense.ai.”
Whatever you record, edit or capture with make-sense, Whipscribe transcribes the audio track into an accurate, speaker-labeled transcript with SRT/VTT captions — 100+ languages, secured private cloud. About $2 per audio hour, with a free instant preview.
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Frequently asked
What is make-sense?
make-sense is an open-source video ai project written in TypeScript with 3,561 stars on GitHub. The authors describe it as: “Free to use online tool for labelling photos. https://makesense.ai.”
Is make-sense free?
make-sense is open source — free to use; check its license for redistribution terms.
What are the best make-sense alternatives?
The closest alternatives in the same category include opencv, cs-video-courses, d2l-zh, AI-For-Beginners, ultralytics — each has a live profile with facts and its own alternatives list on this hub.