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YouTube Transcript Exporter helps content creators, video editors, and researchers bulk extract transcripts from YouTube channels and playlists in seconds.
KEY FEATURES: - Bulk export from entire channels and playlists - Multiple formats: SRT, VTT, CSV, TXT - Organized, ready-to-use files - Fast processing (300 videos in 3 minutes) - All languages supported - Free single video exports (no signup)
PERFECT FOR: - Video editors adding subtitles to projects - Content creators repurposing YouTube to blogs - Researchers analyzing video content - Students archiving lectures - Podcasters creating show notes
PRICING: Free: Single video exports (TXT, SRT, VTT) Tier 1: $1.99/mo - 25 bulk exports Tier 2: $4.99/mo - 350 bulk exports Tier 3: $14.99/mo - 1500 bulk exports
Unlike expensive alternatives, we focus on affordable bulk extraction without AI bloat. Simple, fast, effective.
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ClipTranscribr's answer:
We focus on affordable bulk extraction without the $80/month price tag of competitors like transcribr.io. Our $4.99/mo plan offers 350 exports - 94% cheaper than alternatives. We support SRT, VTT, CSV, and TXT formats with fast processing (300 videos in ~3 minutes). Free tier includes all formats for single videos with no signup required, so users can test quality before paying.
ClipTranscribr's answer:
Many competitors charge 50%+ more than us per month or limit you to single videos only. We're the affordable middle ground; bulk export capability starting at just $1.99/month for 25 exports. We also offer a genuinely free tier (SRT, VTT, TXT for single videos) so you can test our quality before committing. No AI bloat, no complicated features, just fast, reliable bulk transcript extraction at a fair price.
ClipTranscribr's answer:
Content creators repurposing YouTube videos into blog posts and social media content, video editors adding subtitles to client projects, researchers analyzing YouTube channels for data and insights, students archiving educational lectures, and podcasters generating show notes from YouTube episodes. Primarily professionals and small businesses who need bulk transcript extraction but can't justify $80/month enterprise pricing.
ClipTranscribr's answer:
Built by a solo developer who needed to extract transcripts from multiple YouTube educational videos for upskilling and course studies. I was building a personalized AI learning assistant that needed accurate video transcript references - manually downloading dozens of transcripts was taking hours. Existing tools were either too expensive ($80/month) due to AI bloat features or limited to single videos. After spending an entire day manually extracting transcripts, I built this tool to automate the process. Launched as a microSaaS when I realized others face the same problem: content creators, researchers, and students who need bulk transcript access without enterprise pricing.
Based on our record, GitHub seems to be more popular. It has been mentiond 2466 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
// ==UserScript== // @name GitHub -> Obsidian Task // @namespace obsidian // @version 1.0 // @match https://github.com/*/*/issues/* // @match https://github.com/*/*/pull/* // @grant GM_setClipboard // ==/UserScript== (function () { 'use strict'; function getTitle() { return document.querySelector("bdi")?.textContent.trim(); } function copyTask() { ... - Source: dev.to / about 7 hours ago
Import requests From bs4 import BeautifulSoup From datetime import datetime Def fetch_github_trending(): url = "https://github.com/trending?since=daily" response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') repos = [] for article in soup.select('article.Box-row'): repo_link = article.select_one('h2 a')['href'] stars_today =... - Source: dev.to / 1 day ago
Git clone https://github.com//.git /opt/app Cd /opt/app Docker build -t app . Docker run -d --name app --restart unless-stopped -p 8080:8080 app. - Source: dev.to / 5 days ago
The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / 9 days ago
This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 10 days ago
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PriusLab Youtube to Transcript - youtube, transcription, ai