ArchGen's answer

ArchGen focuses on turning plain-text system descriptions into clean, professional architecture diagrams that are meant to be edited and refined, not treated as final AI output.

Unlike many diagram tools that start from boxes and arrows, ArchGen starts from intent and structure, then helps users quickly iterate toward a diagram they actually agree with.

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.

ArchGen's answer

ArchGen is a good fit when you care more about clarity and speed than perfect formal notation.

Compared to diagram-as-code tools like Mermaid or PlantUML, it reduces the upfront syntax and layout work. Compared to traditional visual editors, it avoids manual box-by-box drawing.

The goal is not to replace architectural thinking, but to get closer to a usable diagram faster.

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.

ArchGen's answer

ArchGen is built for software engineers, architects, and technical leads who regularly need to explain system design in documents, specs, or discussions.

It is especially useful for people who already know what they want to communicate, but don’t want to spend too much time manually drawing diagrams.

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.

ArchGen's answer

ArchGen started from a common frustration: most architecture diagrams are either time-consuming to draw or hard to keep aligned with how you actually think about a system.

The idea was to use AI as a starting point for structure and layout, while keeping humans fully in control of the final result through editing and refinement.

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.

ArchGen's answer

ArchGen is built as a modern web application, combining large language models for text understanding with a custom diagram rendering and editing layer.

The focus is on producing structured, editable outputs rather than static images.

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.

ArchGen's answer

ArchGen is currently used by individual developers and small teams exploring faster ways to create and iterate on architecture diagrams.

The product is still early, and feedback from early users plays a big role in shaping its direction.