EazyQuizzy's answer

EazyQuizzy is unique because it gives teachers and trainers a simple, flexible way to build customized quizzes and assessments with full control over questions, scoring, timing, and results, without the complexity or restrictions of LMS platforms. Unlike standardized quiz tools, it adapts to the specific needs of professional training, education, and exam preparation workflows.

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.

EazyQuizzy's answer

Serious assessment features (vs. Kahoot/Quizizz’s entertainment focus), Customization & control (vs. Google Forms’ limited scoring options), Ease of use (vs. LMS systems like Moodle or Canvas that require onboarding/training), Lower overhead with no installation or technical setup, Instant scoring and feedback loops, aligning with modern assessment practices

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.

EazyQuizzy's answer

The primary audience of EazyQuizzy consists of teachers, trainers, and educators who need a simple, flexible tool to create customized assessments, quizzes, and evaluations for their learners without the overhead of full LMS platforms or gamified teaching solutions.

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.

EazyQuizzy's answer

Built out of frustration with tools that are either too playful or too heavy, EazyQuizzy was created to give teachers and trainers a serious, simple way to build custom quizzes and assessments — no installation, no complexity, just results.

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.

EazyQuizzy's answer

EazyQuizzy is built using a modern, lightweight web technology stack designed for performance, flexibility, and ease of deployment:

• Frontend: HTML, CSS, and JavaScript

• Backend: Node.js with Express.js (Open-source, MIT License)

• Database: PostgreSQL (Open-source, PostgreSQL License)

• Architecture: Multi-tenant, API-driven, containerized services

• Deployment & Hosting: Docker-based self-hosting with Cloudflare for website distribution

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.

EazyQuizzy's answer

• Independent teachers and tutors creating customized assessments for learners

• Training providers in professional skills, corporate onboarding, and certification prep

• Small and medium educational institutes using quizzes for classroom evaluation

• Professional upskilling programs (e.g., medical, technical, compliance training)