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Turn long-form videos into ranked, AI-repurposed shorts with word-perfect captions and natural voiceovers — in minutes.
Website, pricing, platforms and company facts side by side.
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| Website | ytshorts.ai | codegres.org |
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| Company | Startup from India · 1 - 9 employees | — |
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In their own words, as submitted to SaaSHub.
YTShorts.ai is an AI-powered video repurposing platform that turns long-form content — podcasts, interviews, webinars, and YouTube videos — into short-form clips optimized for TikTok, Instagram Reels, and YouTube Shorts. Users simply paste a YouTube link or upload a video; the AI analyzes the...
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As answered by people managing YTShorts.ai and Codegres.org.
YTShorts.ai's answer
Content creators and YouTubers who need a steady supply of shorts, podcasters and interview/webinar hosts repurposing long recordings, marketing teams and agencies scaling short-form output without adding editing headcount, and stream clippers turning long streams into highlight clips.
YTShorts.ai's answer
YTShorts.ai combines four steps that are usually separate tools into one automated pipeline: it finds the most engaging moments in a long video using AI analysis of the transcript and audio (not just fixed-length chunks), reframes them into 9:16 vertical with AI-driven crop and pan rather than a static center-crop, ranks every clip by predicted viral potential so creators know which one to post first, and adds word-by-word accurate captions plus a natural AI voiceover automatically. It's also priced well below comparable tools like Opus Clip, with a genuinely usable free tier rather than a locked demo.
YTShorts.ai's answer
YTShorts.ai offers comparable clip quality to established tools like Opus Clip at a fraction of the price -- Free tier included, Pro from $7.99/month. The viral-potential ranking means creators don't have to guess which clip to post first, and captions plus voiceover are generated in the same workflow instead of needing separate tools. It's built and actively maintained by a solo, hands-on founder who responds directly to user feedback.
YTShorts.ai's answer
YTShorts.ai was built solo by founder Bhawika Kaushik, based in India, after seeing how much manual work it took to turn a long podcast, interview, or webinar into a week's worth of short-form clips -- hours of scrubbing through footage, cropping to vertical, and captioning by hand, or paying Opus Clip-level prices to skip it. YTShorts.ai automates that process end to end: paste a link or upload a file, and the AI finds the moments worth posting, reframes them, ranks them, and adds captions and voiceover -- all in minutes.
YTShorts.ai's answer
A Python/FastAPI backend serving a Next.js/React frontend, with yt-dlp for video ingestion and ffmpeg for video processing. GPU-heavy work -- rendering, transcription, and text-to-speech -- runs on Modal's serverless GPU infrastructure rather than the main app server. SQLite handles auth and media-ownership data, and Razorpay handles subscription billing and checkout.
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