
Transcripta AI
Turn any YouTube video into an execution plan
What it does
Extract YouTube transcriMost people buy courses and never finish them. Not because they're lazy — but because long videos are designed for watching, not executing. Transcripta AI fixes this: paste any YouTube URL and get a structured summary, implementation plan, AI-ready prompt, and chat — in seconds. Built for learners, founders, and operators who want to execute fast. 5 videos free. No credit card.pts instantly with AI.
Does the same job
all alternatives →

YouTube to TranscriptMay 2026 · yttranscript.ai · ▲4Turn any YouTube video into transcripts, summaries & quizzes
YouTube to Transcript AI20d ago · youtube-to-transcript.ai · ▲2Turn any YouTube video into transcript and AI summaries.
- HIHow I made AI watch YouTube for me!2023 · medium.com · ▲17
Hey friends! We built an AI app to make it easy for you to consume long YouTube videos This app converts videos to short blog posts with a Python app powered by Langchain and EvaDB: https://github.com/yulaicui/youtube_video_qa Here's an 3 minute blog post based on an 8-hour video from MindsDB AI Developer Convention 2023: https://medium.com/evadb-blog/ai-generated-summary-of-mindsd...

More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, March 2026
the whole month →

Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com


