i3
Sway
dwm
Openbox
awesome
Fluxbox
bspwm
Xmonad
TranscriptFetch
SocialFetch.dev
TranscriptAPI.com
TranscriptFetch is one API for getting text out of video and web content.
Send a URL from YouTube, TikTok, Instagram, X or Facebook and get back clean, timestamped text. Send any web page and get clean Markdown. One endpoint, one response shape, one API key.
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 a large share of captions on both platforms are burned into the video frames where no parser can read them.
When there is no caption track, TranscriptFetch transcribes the audio instead. Same endpoint, same response, so your code never branches on which method produced the text.
text field for feeding a model or a search indexsegments array with per-cue start times and durations, so subtitles and jump-to-moment links are a formatting step rather than another integration100 free credits on signup, no card required. One credit per successful response. Failed, blocked and empty results are never charged, which matters on short-form video where a meaningful share of any batch is music with no speech in it.
TranscriptFetchi3wm is recommended for advanced users, developers, and anyone who prefers a keyboard-centric interface. It is ideal for users who like to customize their environment extensively and are comfortable with configuring software via text files. New users with a willingness to learn may also find it rewarding.
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TranscriptFetch's answer:
Most short-form video has no caption track to download. TikTokโs 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.
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.
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.
TranscriptFetch's answer:
It started with discovering there is no good way to get the text of a video. YouTubeโs official Data API will confirm a caption track exists and then refuse to hand it over, because captions.download requires the video ownerโs 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.
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.
Based on our record, i3 seems to be more popular. It has been mentiond 92 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.
I've been using Omarchy as my main setup since June 26, 2025, the day DHH released the first version. Before that I had my own custom Opinionated Linux, mclovin-ARCHived: an Arch + i3wm installer set up exactly the way I liked. It was total control over the OS: me deciding what goes in, keeping every piece (i3wm, polybar, picom, kitty, dotfiles) up to date and making sure they all talked to each other for the... - Source: dev.to / 3 months ago
Then few years back, in 2015, I got shown i3wm and used it on my ubuntu-netinstall until 2020, then I switched to Budgie and my personal laptop has been using that ever since. - Source: dev.to / 7 months ago
I switched to the i3 tiling based window manager. Because it's a whole different environment and thinking, it was very different from what I was used to. The volume buttons were working on my keyboard, but I didn't get any visual feedback. Furthermore, the volume percentage could go down below zero and increase up to more than hundread percent. There were times when I was confused why the keys stopped working, but... - Source: dev.to / about 2 years ago
This is partially why I use tools like i3 (/ sway). I like the tool; it works extremely well for me; the design has stayed the same for 20 years; there's no profit motive to come along and fuck everything up. It just works. It is boring in the best way possible. Source: over 2 years ago
I use MacBook Pro (Retina, 15-inch, Mid-2014) with Manjaro as OS using i3 as a window manager. It isn't perfect, but I'm thrilled with it. I have been a Mac OS user for the last 15 years and wouldn't change what I have now for a Mac OS because I don't need more than what I'm using for development. Source: about 3 years ago
Sway - Sway is a drop-in replacement for the i3 window manager, but for Wayland instead of X11.
SocialFetch.dev - Social media scraping API for public profiles, posts, comments, videos, transcripts, and metrics from TikTok, Instagram, YouTube, X, LinkedIn, and more. Pay-as-you-go credits, 100 free to start.
dwm - dwm is a dynamic window manager for X. It manages windows in tiled, monocle and floating layouts. All of the layouts can be applied dynamically, optimising the environment for the application in use and the task performed.
TranscriptAPI.com - Get YouTube video transcripts with a simple API call or through Model Context Protocol. Fast, reliable, and easy to integrate into your applications.
Openbox - Openbox is a highly configurable, next generation window manager with extensive standards support.
awesome - A dynamic window manager for the X Window System developed in the C and Lua programming languages.