FloristWare's answer

FloristWare was first created in the early 2000's for use by a high-volume family owned flower shop that was not willing to pay the $20K plus that was charged by other floral-specific POS systems at the time. It was released to the public in 2005 and was the first floral POS system to use a pay-as-you-go SAAS model with no contracts, commitments or big up-front payment.

Since then FloristWare has worked with hundreds of real local florists and been a strong supporter of the retail floral industry and member off organizations like SAF (the Society of American Florists), GLFA (Great Lake Floral Association) and AIFD (American Institute of Floral Designers).

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.

FloristWare's answer

FloristWare is the ideal POS system for any retail florist that is serious about taking their business to the next level by streamlining and automating the many time consuming and repetitive tasks involved in running a flower shop and providing a higher level of customer service.

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.

FloristWare's answer

FloristWare offers the kind of quality and support associated with wire service systems that cost many times more. It also focusses on doing one thing (Floral POS) really well and providing tight integrations with the best websites, merchant service providers, etc. Most other floral-specific POS systems try and lock the florist into their POS, their website, their expensive credit card processing etc.

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.

FloristWare's answer

FloristWare has been doing this a long time and understands and respects the needs of busy florists. Our clients only ever deal with dedicated, full-time support professionals that are located right here in North America, each with at least ten years of experience in the retail flower business. We don't ever outsource to overseas call centres or expects our clients to suffer through AI or chatbots.

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.

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.