
BulkTranscripts
Download every transcript from a YouTube channel, playlist or video in one job
Developer Tools·AI & Machine Learning·Productivity
What is BulkTranscripts?
BulkTranscripts downloads every available transcript from a YouTube channel, playlist or video in one job, instead of one video at a time. Paste a link and it finds the videos, fetches the captions and hands back clean text with titles, links and timestamps kept.
Key features
- Whole channels and playlists, up to 1,000 videos per job
- - Export as TXT, Markdown, SRT, VTT, CSV, JSON, or one combined AI-ready file for NotebookLM, ChatGPT and Claude
- - A searchable library: re-exporting a saved transcript is free
- - The same engine as a REST API, a hosted MCP server for Claude, ChatGPT, Cursor and VS Code, and an agent skill for Claude Code and Codex
- - A free latest-uploads endpoint, so agents only spend credits on new videos
Who it is for
Researchers, students, creators and developers who need the text of many videos at once: study notes, competitor research, show notes, or a RAG dataset.
Pricing
The first 30 transcripts are free, no card. After that, one-time credit packs from $4.99 that never expire. No subscription.
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What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
I placed probably 10 different small bets in 2022 and I made money I wasn't eating Ramen I was eating steak a couple of courses a cohort course a couple of recorded courses a book all these things I did in 2022 I started a newsletter I started a podcast
Trade one big bet for ten small ones a year
Louie had been eating ramen on VC money trying to build one SaaS. The mindset shift: stop betting everything on one idea. In 2022 he shipped roughly 10 small bets — cohort course, recorded courses, a book, a newsletter, a podcast — and made enough to stop eating ramen. Diversification across cheap shots beats betting it all on one swing.
We had to coach the internal team around a mindset of monetization... looking backwards almost funny but at the time was a very serious thing.
Overcome Internal Resistance to Monetization Before It Slows You Down
When Tinder was free and growing fast, the internal culture developed an identity tied to being free — and monetizing felt like a betrayal. Phil describes having to actively coach the team to shift from 'we're a free product' thinking to 'we're building a subscription business.' This resistance appears in most product-led teams when monetization is introduced. Getting ahead of it — explicitly reframing the company's goal as delivering enough value that users want to pay — prevents months of delay.
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