TranscriptFetch's answer

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 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.

Nineish Months's answer:

What really sets Nineish Months apart is that it’s built on a foundation of "Privacy by Design." While most pregnancy apps are built to collect and monetize your health data, Nineish Months is built to protect it. We don't have servers, we don't require accounts, and we never see your information. It’s a rare, truly private space that focuses entirely on the baby’s growth and the mother’s well-being, rather than on data collection.

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.

Nineish Months's answer:

A person should choose Nineish Months if they want peace of mind. Most big-name competitors track your every move and sell that data to advertisers. With Nineish Months, you get a premium, beautiful, week-by-week experience with the absolute certainty that your personal health journey stays on your own phone. It’s the right choice for anyone who wants an elegant tracker without the "creepy" factor of being followed across the web.

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.

Nineish Months's answer:

Our primary audience is the modern, security-conscious parent. These are people who appreciate clean, thoughtful design and want to stay informed about their baby's development, but are also deeply aware of digital privacy. They are often looking for an alternative to "Big Tech" health apps and prefer supporting independent developers who prioritize ethics and user safety over profit.

TranscriptFetch's answer

It started with discovering there is no good way to get the text of a video. YouTube’s official Data API will confirm a caption track exists and then refuse to hand it over, because captions.download requires the video owner’s 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.

Nineish Months's answer:

Nineish Months was born out of a desire for a "quieter" and safer pregnancy experience. As an indie developer, I noticed that the most popular pregnancy apps were becoming increasingly cluttered and invasive regarding user data. I wanted to build something that I would actually want to use—an app that felt like a supportive companion, looked beautiful, and treated user privacy as a human right rather than an afterthought.

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.

Nineish Months's answer:

The app is built natively for the Apple ecosystem using xcode, which allows for a fluid, modern, and highly responsive user interface. To ensure maximum security, we use local-on-device storage rather than cloud databases. This technical choice ensures that even the developer cannot access user data, as there is no central server to store it.

Nineish Months's answer:

Our "customers" aren't corporations; they are families and individuals who value their digital sovereignty. Expectant parents looking for a private way to track their first pregnancy. Privacy-conscious families who want to keep their health data off the cloud. Minimalist users who prefer a clean, focused, and ad-free experience. Tech-savvy parents who prioritize "Privacy by Design" software.