UncutAI.io's answer

UncutAI.io was born out of the frustration of lengthy and manual video editing processes. We envisioned a tool that could combine the power of AI with user-friendly interfaces to revolutionize video editing for everyone, from solo creators to large businesses.

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.

UncutAI.io's answer

• AI-driven editing Copilot allows users to chat directly with their videos for real-time customizations.
• Automates complex editing tasks like smart B-roll insertion, transitions, and retake removal.
• Delivers professional-quality results with minimal effort from users.

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.

UncutAI.io's answer

-Simplifies video editing through advanced AI tools and automation. -Offers a user-friendly interface suitable for all skill levels. -Saves time and effort by handling repetitive tasks like trimming, cutting, and enhancing. -Provides innovative features like AI Copilot and smart adjustments, setting it apart in the market. -Delivers consistent, professional-grade results, ideal for content creators and businesses.

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.

UncutAI.io's answer

-Content creators looking to streamline video production. -Marketers who need engaging and professional videos for campaigns. -Businesses seeking efficient solutions for corporate video editing. -Beginners and professionals alike who want accessible, easy-to-use editing tools.

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.

UncutAI.io's answer

Advanced artificial intelligence and machine learning algorithms. Video and audio processing engines for automated editing. Cloud-based architecture for seamless uploads and processing.

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.

UncutAI.io's answer

Not disclosed yet but targeting creators, marketers, and businesses globally.