LearnwithPath.com's answer

YouTube has the best content for almost any skill, but no structure. Coursera and Udemy have structure but cost $49 to $79 a month or $200 a course. LearnPath gives you the structure of a paid course on top of free YouTube videos, and the path adapts based on how you score on quizzes. The free tier is fully usable, not crippled. Knowledge actually sticks because spaced repetition is built in.

TranscriptFetch's answer:

Most short-form video has no caption track to download. TikTok’s auto-captions are opt-in per upload, Instagram never publishes a downloadable track, and many captions on both are burned into the video frames where no parser can read them. TranscriptFetch transcribes the audio when no caption track exists, on the same endpoint, with the same response shape. Your code never branches on which method produced the text. It also covers YouTube, TikTok, Instagram, X and Facebook plus any web page as clean Markdown, so a pipeline spanning several sources is one integration rather than five.

LearnwithPath.com's answer

It's free for the core experience and the paths actually adapt to you. Coursera locks fixed curricula behind a paywall. Udemy buries you in 40 hour video dumps with no quiz logic. Skillshare is project-based, not skill-based. LearnPath builds a path from real videos, generates quizzes from the actual transcripts of those videos, and reshapes the path based on your performance. Spaced repetition reviews are scheduled automatically so what you learn sticks. No setup. No API keys. Sign up and start in under a minute.

TranscriptFetch's answer:

Three reasons. Coverage: one API key and one response shape across five video platforms and the open web, instead of stitching together a library per platform. Reliability: requests run through rotating infrastructure, so code that works locally keeps working from a server, which is where most open-source approaches break. Billing that matches reality: one credit per successful response, with failed, blocked and empty results never charged. That last point matters on short-form video, where a meaningful share of any batch is music with no speech in it. There is also an MCP server, so AI agents can fetch transcripts as a tool without a custom integration.

LearnwithPath.com's answer

Self-taught learners. Career switchers ramping up on a new tech stack. Students preparing for technical interviews. Developers picking up a new language or framework. Designers learning a new tool. Anyone who has tried piecing together a YouTube playlist and wished it had structure, quizzes, and progress tracking. Mostly people who would rather learn for free than pay $49 a month for Coursera.

TranscriptFetch's answer:

Developers and technical teams building on video and web content. The common cases are RAG and retrieval pipelines that need video as text, AI agents that need to read a link mid-conversation, content teams repurposing short-form video at scale, and media monitoring and research tools. It is an API first, so the buyer is usually the person writing the integration rather than an end user. The free browser tools exist for one-off transcripts and for evaluating output quality before writing any code.

LearnwithPath.com's answer

I taught myself programming, development, and most of what I know from YouTube. There is an enormous amount of high-quality material on the platform but no structure and no real way to know if you are actually learning. After years of stitching together my own playlists, I built LearnPath to fix that for everyone else. An AI takes any topic, assembles a personalized course from the best YouTube videos, and adds quizzes and spaced repetition so the knowledge actually sticks. The best part is that it's free.

TranscriptFetch's answer:

It started with discovering there is no good way to get the text of a video. YouTube’s official Data API will confirm a caption track exists and then refuse to hand it over, because captions.download requires the video owner’s OAuth token. The popular open-source libraries work until you deploy them, at which point platforms start refusing datacenter IPs. And YouTube is the easy case: TikTok and Instagram publish no caption file at all. Every workaround solved one platform, worked locally, and broke in production. TranscriptFetch is the version that handles the failure cases as first-class behaviour rather than edge cases.

LearnwithPath.com's answer

Frontend is Next.js 14 with React, TypeScript, and Tailwind CSS. Backend is Python with FastAPI. Database, auth, and realtime are on Supabase with row level security. AI is Google Gemini for video curation, quiz generation, and the adaptive branching logic. Video data comes from YouTube Data API and youtube-transcript-api. Payments are on Airwallex. Errors and analytics are on Sentry and PostHog.

TranscriptFetch's answer:

Next.js with TypeScript and Tailwind on the front end and API layer, Clerk for auth with SHA-256 hashed API keys, Neon Postgres with Drizzle ORM, Redis for caching, and Stripe for billing. The extraction layer is a Python and FastAPI service. Speech-to-text uses Whisper-class models. The MCP server is published in the official Model Context Protocol registry with a DNS-verified namespace.