CastFox.net's answer

Next.js, Node.js, Express, TypeScript, PostgreSQL, Redis, OpenAI

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.

CastFox.net's answer

CastFox is the only podcast intelligence platform that searches actual episode content using AI transcription across 114M+ episodes , not just titles and descriptions. It also uniquely combines YouTube channel analytics, AI-generated Web Presence reports, and an in-app AI Pitch Wizard into a single platform. No competitor offers all of these together.

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.

CastFox.net's answer

CastFox gives you more data for free than competitors charge hundreds per month for. All search, analytics, contacts, and PodcastGPT are free forever. Competitors like Rephonic charge $99-$299/month for basic analytics, and Podchaser Pro costs $2,500-$5,000/year. CastFox also offers features no competitor has: AI content search, YouTube analytics linked to podcast profiles, and batch pitching with AI-generated emails.

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.

CastFox.net's answer

Media buyers and ad agencies finding podcasts to advertise on, PR agencies booking guest appearances for clients, brand marketers monitoring industry conversations across podcasts, authors and speakers looking for shows to promote their work, and podcast creators analyzing competition and growth opportunities.

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.

CastFox.net's answer

CastFox was built out of frustration with how hard it was to find the right podcasts for marketing campaigns. Every existing tool only searched titles and categories, missing the vast majority of relevant shows. We built an AI engine that searches what hosts actually say across 114M+ episodes, then added the analytics, contacts, and outreach tools needed to go from discovery to signed deal in one platform.

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.

CastFox.net's answer

• PR agencies managing multi-client podcast outreach
• Media buying teams at DTC brands
• Authors and speakers booking podcast guest appearances
• Podcast networks analyzing competitive landscape