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).
Capslane gives developers a stable API for YouTube transcripts. It returns native captions when available and automatically generates a timestamped transcript when they are missing. Get plain text or structured segments, choose a language, manage API keys, inspect usage, and connect through JavaScript, Python, MCP, or n8n. Start with 50 free requests each month.
Hi builders,
We built Capslane after making YouTube transcripts a critical part of Gems, our video workflow product. Using an external transcript API was convenient at first, but we needed predictable responses, clear failure states, and a fallback when captions were missing.
Capslane is the API we wanted to use ourselves. Send a YouTube URL and it first looks for native captions. If none are available, auto mode starts a transcription job. Both paths return the same structured response, with text, language data, and millisecond timestamps.
We also built the parts we kept needing in production: workspace API keys, request logs, usage limits, a shared cache, JavaScript and Python SDKs, an MCP server, and an n8n node.
There is a free plan with 50 requests and 15 generated minutes per month, so you can test a real integration without entering a card.
Capslane is still an early product, and I would especially value feedback from developers who already depend on YouTube transcripts. What would make it easier for you to trust a transcript API in production: better language handling, more integrations, clearer reliability data, or something else?
To answer your question directly: clearer reliability data would move the needle most for me. "Falls back to auto-transcription when captions are missing" is the right design, but in production I'd want to know the accuracy delta between native captions and the fallback transcription before I trust it for anything beyond search/indexing. If a caller can request confidence scores or at least a flag for "this came from auto mode," that's the difference between using it for full-text search vs. using it for something a user actually reads.
About Capslane on Product Hunt
“Reliable YouTube transcripts through one API”
Capslane was submitted on Product Hunt and earned 17 upvotes and 3 comments, placing #14 on the daily leaderboard. Capslane gives developers a stable API for YouTube transcripts. It returns native captions when available and automatically generates a timestamped transcript when they are missing. Get plain text or structured segments, choose a language, manage API keys, inspect usage, and connect through JavaScript, Python, MCP, or n8n. Start with 50 free requests each month.
Capslane was featured in API (98.6k followers), Developer Tools (518.9k followers) and YouTube (17k followers) on Product Hunt. Together, these topics include over 99.1k products, making this a competitive space to launch in.
Who hunted Capslane?
Capslane was hunted by Luca Deguin. 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 Capslane stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Luca Deguin