ImmuniWeb's answer

ImmuniWeb SA is a global application security company headquartered in Geneva, Switzerland. The company is profitable, cashflow positive and rapidly growing since its incorporation in 2019. The award-winning ImmuniWeb® AI Platform helps over 1,000 customers from more than 50 countries to discover, test and protect their web and mobile applications, APIs and micro services, cloud and network infrastructure, and third-party systems processing corporate data.

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.

ImmuniWeb's answer

Companies and organizations of all sizes.

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.

ImmuniWeb's answer

AI, Machine Learning

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.

ImmuniWeb's answer

• Ebay
• ITU
• BDO
• Next Bank Credit Agricole,
• Arab Bank
• Swissquote
• Celgene
• Haymarket
• BancaStato

ImmuniWeb's answer

ImmuniWeb leverages the award-winning AI technology for intelligent automation and acceleration of laborious tasks and processes, saving as much as 90% of human time compared to traditional MSSPs. Our security experts handle only to the most complicated tasks and processes that truly deserve human intelligence thereby offering the best quality and best price of service on the global market.

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.

ImmuniWeb's answer

Providing one of the most comprehensive offering in the industry, the Platform covers 20 use cases related to cybersecurity, compliance and privacy, including Attack Surface Management, Dark Web Monitoring, Web and Mobile Penetration Testing, Cyber Threat Intelligence, Third-Party Risk Management, and more. ImmuniWeb’s proprietary technology is a recipient of numerous awards and industry recognitions for practical usage of AI, including Gartner Cool Vendor, IDC Innovator and SC Awards Europe. Our Machine Learning technology stack considerably reduces application security costs of our customers by intelligent automation of laborious and time-consuming tasks, significantly accelerating those tasks in parallel.

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.