Pot să vibecodez VidNotes?

Ce construiești

Import a video file or YouTube URL, extract and transcribe its audio, generate structured study notes, search the timestamped transcript, and export the result.

ce îți trebuie

• Python 3.12
• ffmpeg
• yt-dlp
• OpenAI API key
• local disk

The local prototype is weekend-sized. Product parity is an ongoing cross-platform, source-adapter, agent-platform, and job-operations commitment.

Promptul

Un weekend cu un agent de coding. Golurile care rămân sunt mai jos, la „ce pierzi”.

Build me a local video transcription and study-notes app to replace VidNotes. Requirements:

- A Python 3.12 app using FastAPI, Jinja templates, HTMX, and SQLite FTS5,
  served only on localhost:8787.
- The home screen accepts one YouTube URL or an MP4, MOV, M4A, or MP3 upload;
  use yt-dlp for the URL and ffmpeg to extract mono audio.
- Use the OpenAI Python SDK for timestamped speech-to-text and the Responses API;
  keep the API key in .env and split large audio into chunks with preserved offsets.
- Show queued, extracting, transcribing, generating, complete, and failed states. The
  result page has a player plus a searchable transcript with clickable timestamps.
- Generate a 5-bullet summary, key points, 10 flashcards, and a 5-question quiz
  from the completed transcript, with a button to regenerate each section.
- Store metadata and generated text in SQLite, media under ./data/projects/<uuid>/,
  and export the transcript and notes as Markdown, TXT, SRT, and JSON.
- No accounts and no telemetry. Everything stays local except yt-dlp downloads and
  OpenAI API calls, and each project keeps its original source URL.
- Out of scope: native apps, hosted web, cross-device sync, the Chrome extension,
  Instagram or TikTok extraction, and a public API, CLI, or MCP server.
- Include a README with setup, ffmpeg and yt-dlp installation, .env.example, data
  location, deletion steps, and a warning that source-site changes can break imports.

Ce pierzi

• native iOS and Android apps, a Chrome extension, and cross-device Premium state
• managed extraction for TikTok, Instagram, Vimeo, and changing source sites
• background processing, queue reliability, and long-video handling
• 30+ language polish and prebuilt flashcards, quizzes, and chat
• hosted web, API, CLI, and MCP access for agents

De ce se plătește în continuare

People pay for the maintained system around transcription: source adapters that keep working, long-job processing and retries, consistent results across native apps, web, and the extension, synced account state, and stable API, CLI, and MCP access for agents. The recurring value is avoiding integration breakage and operations work, not just getting speech-to-text.

moat: Integrări Scara infrastructurii Calitatea execuției ce e un moat

source adapters/mobile distribution/agent platform/hosted processing

Alternative gratuite

N-ai chef să ți-o construiești? Astea există deja, sunt gratuite sau open source, și le-am verificat una câte una.

nume stele ultimul commit instalare ce e

NotebookLM gratis (si apre in una nuova scheda) — — serviciu găzduit Drop in a YouTube video and get searchable, source-grounded study material; Google keeps the notebook. ST StoryToolkitAI open source (si apre in una nuova scheda) 977 ★ iun. 2026 deploy dintr-un clic Local transcription and semantic footage search from an app that still admits it is rough.

Respinse (2) — și de ce

• whisper.cpp (si apre in una nuova scheda) — Excellent transcription engine; no searchable study workspace or finished note-taking product surrounds it.
• yt-dlp (si apre in una nuova scheda) — Gets the video onto disk and then considers its work complete.

Cine l-a construit deja

Să pornești de aici e tot vibecoding: promptul e pentru când o vrei exact în felul tău.

• whisper.cpp (se deschide într-o filă nouă) — Local speech-to-text engine that can replace the hosted transcription step.
• yt-dlp (se deschide într-o filă nouă) — Open-source media downloader that covers the DIY URL import step.

Ești de acord?

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