Deel's answer

Deel owns its infrastructure. We don't rely on third-party payroll processors or legacy systems; we built the entire platform from scratch, which means faster fixes, total accountability, and global compliance that actually works.We're also built for Web3. We're the only HR platform that supports stablecoin payouts, token equity, and on-chain accounting; because the future of work isn't traditional.And AI isn't something bolted on. It's embedded in every workflow; from hiring and onboarding to payroll reconciliation and support. It takes action, not just chat.

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.

Deel's answer

Real global infrastructure, not third-party plumbing. You get local payroll expertise in 150+ countries without managing a vendor network. Compliance is native, not outsourced. True modularity. Plug Deel's products into your existing tech stack instead of ripping and replacing. Use what you need, scale what you grow. One experience for everyone. Whether someone's hired in São Paulo, managed from Denver, or working from a co-working space, they get the same seamless onboarding, payroll, and benefits experience. That consistency matters for retention. Built for the future of work. Crypto payouts. Distributed teams. Complex tax jurisdictions. We handle them natively—not as afterthoughts.

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.

Deel's answer

Deel was founded in 2019 to solve a problem we saw firsthand: hiring and paying global talent shouldn't require hiring a global team of compliance experts. The world's work had already gone remote and distributed, but the HR systems hadn't. We built Deel to bridge that gap—one platform where a startup in Austin could hire a developer in Ukraine, a designer in Nigeria, and a content writer in the Philippines, and actually manage and pay them all compliantly without a compliance nightmare. Today, we work with over 40,000 customers across 150+ countries. We've grown from a contractor-payment tool into a complete people platform for hiring, payroll, mobility, device management, and performance—powered by our own infrastructure and designed for the future of work.

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.

Deel's answer

We serve globally distributed companies across all sizes. But we're built specifically for leaders who are tired of fragmented systems. Scaling companies (50–1,000 people) who need payroll and compliance to keep pace with growth. Enterprise teams (1,000+) managing complex multi-country operations and local vendor sprawl. People leaders and finance teams who want automation to replace manual admin. And crypto-native companies that need stablecoin payouts and on-chain accounting baked in. The common thread: leaders who value simplicity over complexity, and who need to scale across borders without sacrificing compliance or employee experience.

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.

Deel's answer

We've invested heavily in building owned infrastructure rather than relying on off-the-shelf solutions. Payroll engine: Custom-built tax, compliance, and calculation logic across 150+ countries. No third-party processors—we own this. Architecture: Modern microservices, real-time data processing, and scalable cloud infrastructure designed to handle millions of transactions across multiple jurisdictions simultaneously. AI: Built into hiring, payroll, mobility, IT, and support workflows. Our AI takes action, not just provides insights. Security: SOC 2 Type II, ISO 27001, GDPR-compliant data residency, and regular pen testing. All auditable. We don't license compliance—we build it.

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.