AIMakeTattoo's answer

AIMakeTattoo is an early-stage product and does not publicly list major customers yet.

AIMakeTattoo's answer

AIMakeTattoo is built as a modern web application using Next.js, React, AI image generation APIs, Redis-backed generation jobs and quota tracking, authentication, paid credit handling, and browser-based UI workflows.

The product supports prompt input, style and placement controls, AI generation, result previewing, downloading, sharing, font previewing, Roman numeral conversion, rough cost estimation, and copying artist-ready reference briefs.

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.

AIMakeTattoo's answer

AIMakeTattoo focuses on the early tattoo planning workflow instead of claiming to create final tattoo-ready artwork. It brings together AI tattoo concept references, exact-text lettering ideas, free tattoo font previews, Roman numeral tattoo formatting, rough cost estimates, and copyable artist discussion briefs in one place.

This helps users compare visual directions, test lettering styles, organize ideas, and prepare a clearer reference before refining the final design with a tattoo artist.

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.

AIMakeTattoo's answer

AIMakeTattoo separates the tattoo planning process into focused tools instead of putting everything into one generic prompt box.

Users can generate visual tattoo concepts, create custom lettering with exact text, preview tattoo-style fonts for free, convert dates or numbers into Roman numerals, estimate rough tattoo costs, and copy an artist brief after generation.

This makes AIMakeTattoo useful for people who want to explore and organize tattoo ideas before committing to a final design, while still recognizing that a professional tattoo artist should refine the final artwork.

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.

AIMakeTattoo's answer

AIMakeTattoo is mainly for people who are exploring tattoo ideas before committing to a final design or studio consultation.

This includes users with rough tattoo concepts, personal symbols, names, dates, quotes, initials, Roman numerals, memorial ideas, or lettering ideas who want visual references, font directions, cost context, or a clearer artist brief to compare and refine.

It is especially useful for first-time tattoo clients, people with many ideas but no clear direction, and users who want to prepare before discussing their tattoo with an artist.

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.

AIMakeTattoo's answer

AIMakeTattoo was built around a common tattoo planning problem: many people have a rough idea, symbol, phrase, name, date, or style in mind, but they struggle to turn it into a clear visual direction.

The product started as an AI tattoo idea generator and evolved into a broader tattoo design and planning toolkit. Today, it includes AI tattoo concept generation, exact-text lettering generation, free tattoo font previews, Roman numeral conversion, rough tattoo cost estimates, prompt guides, and copyable artist discussion briefs.

The goal is not to replace tattoo artists, but to help users organize their ideas and bring clearer references into the final design conversation.

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.