This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
transcribr
Bulk Download YouTube Transcripts for Q&A, RAG, and LLMs
Stop copying YouTube transcripts one video at a time. Transcribr lets you bulk download transcripts from entire channels and playlists, 1000+ videos in under 60 seconds. Perfect for: • AI developers building RAG systems • Content creators repurposing videos • Researchers analyzing video content • Marketers studying competitors Export to TXT, JSON, CSV, SRT, or VTT. Chat with AI about any video. No API key required.
“Bulk Download YouTube Transcripts for Q&A, RAG, and LLMs”
transcribr was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #139 on the daily leaderboard. Stop copying YouTube transcripts one video at a time. Transcribr lets you bulk download transcripts from entire channels and playlists, 1000+ videos in under 60 seconds. Perfect for: • AI developers building RAG systems • Content creators repurposing videos • Researchers analyzing video content • Marketers studying competitors Export to TXT, JSON, CSV, SRT, or VTT. Chat with AI about any video. No API key required.
Who hunted transcribr?
transcribr was hunted by Edmund Yong. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how transcribr stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Edmund Yong