ComplianceAgent's answer

It is free, instant, and specific. Whole-Act scoping tools give you broad orientation; this checker goes deep on Article 50 transparency obligations specifically — and gives you a written result you can keep. No account, no sales calls, nothing stored.

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.

ComplianceAgent's answer

Any organization that builds or deploys AI systems reaching users in the EU — SMEs, law firms, agencies, healthcare, finance, manufacturing, nonprofits, and government contractors.

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.

ComplianceAgent's answer

Article 50 transparency obligations apply from August 2, 2026, and most scoping tools cover the whole Act at a shallow level. ComplianceAgent built a free checker that goes deep on Article 50 specifically: five plain-language questions, an instant deterministic result, and nothing stored.

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.

ComplianceAgent's answer

The checker is a single static page served from Cloudflare. Its logic is fixed rules in plain JavaScript — no AI model, no backend, no database, no login.

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.

ComplianceAgent's answer

The checker is deterministic — every answer maps to a specific paragraph of EU AI Act Article 50, so the article numbers and dates you see are looked up, not generated by an AI model, and cannot be fabricated. Five plain-language questions, instant on-page result. No account, nothing stored.

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.