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.

TeacherForge.io's answer:

Most worksheet generators ask for a grammar topic as a free-text prompt. TeacherForge provides a full CEFR-gated curriculum of 300 grammar tags. Teachers browse by level, pick the exact language point, and get exercise types that are verified compatible via a built-in compatibility matrix. No guessing, no mismatched exercises. Combine multiple exercise types in the same worksheet (9 grammar types, 8 reading, 8 listening, 5 vocabulary), each with its own item count. Every grammar worksheet download includes a full grammar note PDF covering the selected grammar point, ready to hand out alongside the exercises. The writing product generates a complete teaching package: prompt, planning checklist, useful language box, assessment criteria, and model answer, all CEFR-calibrated with Cambridge exam standards available. The Exam Composer combines grammar, vocabulary, reading, writing, and listening into a single multi-domain exam from one wizard, with Cambridge B2 First and C1 Advanced presets. Every generation is saved to the dashboard as a reusable template. Regenerate fresh variants with one click, nothing is ever lost.

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.

TeacherForge.io's answer:

Competitors rely on free-text prompts for grammar topics, lock you into one exercise type per generation, and produce flat single-purpose outputs. TeacherForge offers a structured 300-tag curriculum where every tag is CEFR-gated and mapped to compatible exercise types through a compatibility matrix, so you never get an exercise type that doesn't work for your grammar point. Build worksheets that mix gap fill, multiple choice, error correction, and word ordering in one document, each section independently configurable. Grammar downloads come bundled with a grammar note PDF, the lesson explanation alongside the practice. Writing tasks come as a complete package: prompt, planning checklist, useful language, criteria, and model answer, not just a prompt or a model answer in isolation. Listening includes 335 audio scripts with generated audio across 7 formats. No competitor combines all five language domains into one cohesive exam from a single wizard. And every worksheet becomes a dashboard template. Regenerate unlimited variants without starting over.

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. 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.