Kazkar's answer

Every other platform stops at illustrated text or basic narration. Kazkar generates a personalised story and an original soundtrack together — lullabies, genre remakes, audio theatre with character voices, and ambient soundscapes — all starring a hero the child actually owns. Family owned.

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.

Kazkar's answer

Kazkar gives you: A hero that's yours — built once, lives in every story forever A new adventure every day — no repeats, no stale content Original music — not background noise, but songs and soundscapes written around your child's story A birthday song and invitation — personal enough to print and hand out Audio theatre — full cast, multiple voices, like a radio drama made just for your child

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.

Kazkar's answer

Two audiences, one platform: For Children (ages 3–12) Kids who want to see their own hero — an animal, creature, or character they created — come alive in a new story every single day, with music made just for them. For the Adults Who Choose the Platform

Parents looking for screen time that's imaginative, safe, and calming at bedtime — not passive consumption Teachers and early years educators who need ready-made, curriculum-adjacent storytelling content that engages reluctant readers and supports emotional literacy Schools and nurseries seeking an off-the-shelf EdTech tool that covers stories, music, feelings, and life skills without requiring lesson prep

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.

Kazkar's answer

Meet us here - https://kazkar.com/about

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.

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.