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.

ScanTheSender's answer:

ScanTheSender is completely free with no signup required and no daily scan limits — unlike most competitors that restrict free users to a handful of checks per day. It also accepts screenshots as well as pasted text, so users can check WhatsApp messages, texts, and emails all in one place.

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.

ScanTheSender's answer:

Most scam checkers either charge for unlimited use or cap free users at 2-3 checks per day. ScanTheSender is fully free with no limits, no account creation, and results in seconds. It also provides a detailed breakdown of exactly why an email is flagged as suspicious — not just a simple yes/no verdict — helping users learn to spot scams themselves in future.

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.

ScanTheSender's answer:

Everyday internet users who receive suspicious emails, texts, or messages and want a fast, reliable second opinion before clicking a link or sharing personal information. This includes people of all ages and technical backgrounds, particularly those less confident identifying phishing attempts on their own.

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.

ScanTheSender's answer:

ScanTheSender was built after noticing how convincing modern phishing emails have become — even experienced internet users can be fooled by well-crafted fakes impersonating major brands like Amazon, PayPal, and Microsoft. The goal was to create a completely free tool that gives anyone instant clarity on a suspicious message, without paywalls or signup friction getting in the way of genuine help.

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.

ScanTheSender's answer:

WordPress, OpenAI for AI analysis, custom PHP, and JavaScript for the frontend scanner interface.

ScanTheSender's answer:

Individual consumers checking suspicious emails and messages