Regexper
RegExr
regular expressions 101
rubular
RegEx Generator
The Regex Coach
RegexPlanet Ruby
Expresso
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.
Regexper TranscriptFetchTranscriptFetch'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, Regexper seems to be more popular. It has been mentiond 25 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.
Super cool roster! Niche text generators come to mind, e.g., text version of regex train tracks / git traces come to mind. png/svg version https://regexper.com/#%5Cd%7B5%7D%28-%5Cd%7B4%7D%29%3F idk if any robust ascii lib exists, same for things like root cause or swimlanes etc. Have done some 1-off 1-shots of similar for AI input/output is primary frame of reference, and plenty of others have attempted same to... - Source: Hacker News / 29 days ago
Not a direct learning resource, but a few quick tips: 1) Know what language you're targeting beforehand, if possible (e.g. Javascript regex or Perl regex or POSIX regex, etc.). There are a lot of different regex "dialects" (kinda like SQL dialects) and the operators aren't always compatible, and not every implementation supports all the features (like "negative lookaheads"). 2) Railroad diagrams can be really... - Source: Hacker News / almost 2 years ago
That's my go-to these days, but sometimes I like to see a diagram from this one: https://regexper.com I've just slowly learnt it by experimenting with it over the past few years. People have mostly mentioned matching, but I use it more for string manipulation. I'm still not as intermediate a programmer as I'd like to be, so it's great when I need to invert a design decision for example. A similar code structure in... - Source: Hacker News / almost 2 years ago
Regexper takes your regular expressions to the next level. It generates interactive, visually appealing diagrams that help you understand your regex patterns. With Regexper, you can see your regex patterns come to life, making complex expressions easier to grasp. - Source: dev.to / almost 3 years ago
If it's a one-off regex to scrape some data and you verify the output, great. If it's to be used in an application and you don't understand it, that could be an issue. There's some great online tools to convert regex to railroad diagrams like https://regexper.com/ which I recommend if you don't understand some regex AI produced. Source: over 3 years ago
RegExr - RegExr.com is an online tool to learn, build, and test Regular Expressions.
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.
regular expressions 101 - Extensive regex tester and debugger with highlighting for PHP, PCRE, Python and JavaScript.
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.
rubular - A ruby based regular expression editor
RegEx Generator - RegEx Generator is a simple-to-use application that comes with the brilliance of intuitive regex and is also helping you out to test the regex.