Saasufy
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TranscriptFetch
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TranscriptAPI.com
A platform for building custom SaaS applications using AI with no-code. Optimized to reduce the complexity and number of errors.
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.
Saasufy 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, Saasufy seems to be more popular. It has been mentiond 27 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'm working on the backend your AI doesn't have to build https://saasufy.com/ For vibe coders. With a focus on: - Security - Analytics - Realtime capabilities. - Source: Hacker News / 1 day ago
This is a good article. I've been working on such infrastructure to facilitate safe vibe coding with a focus on simple access control and analytics. https://saasufy.com/ I think this is spot on but the new abstractions are yet to be popularized but I'm seeing some clear patterns arise. This is something I spend a lot of time thinking about because the new abstractions must fit within existing paradigms to provide... - Source: Hacker News / 12 days ago
This is neat. I've been dreaming of something like this to host frontends connected to my backend platform https://saasufy.com - Because it's built with WebSockets, it doesn't have CORS limitations so I can literally make Claude Code create an index.html file on my computer's file system, then open it directly from the file system by double-clicking it (served via file:// protocol) then, when I'm happy, I can grab... - Source: Hacker News / about 1 month ago
When building agent integration for my serverless backend https://saasufy.com/, I decided to use skill markdown files curl commands inside instead of building out MCP tools. The curl command is just so popular, models are really good at using it. Also I like that curl is for bash and my platform requires JSON payloads; it makes the separation clear to the agent. I find it to be very reliable. - Source: Hacker News / about 1 month ago
I've been working on a similar product. Started working on it 14 years ago and pivoted it to vibe coding. https://saasufy.com/ I'm thinking to open source it but I want to see some traction before doing that since I don't want to open source then someone else takes my code and I get nothing out of it. - Source: Hacker News / about 2 months ago
Vocabuo - The vocabulary app - Learn language with AI, spaced-repetition flashcards
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.
DB Pro - DB Pro is the modern way to work with databases
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.
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