Software Alternatives, Accelerators & Startups

Smell Dating VS TranscriptFetch

Compare Smell Dating VS TranscriptFetch and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Smell Dating logo Smell Dating

The first mail odor dating service

TranscriptFetch logo TranscriptFetch

Video & web data API for AI: transcripts from YouTube, TikTok, Instagram, plus any page as clean Markdown. Falls back to AI transcription when captions are missing. Built for RAG and agents.
  • Smell Dating Landing page
    Landing page //
    2019-10-10
  • TranscriptFetch Home
    Home //
    2026-08-01
  • TranscriptFetch Dashboard
    Dashboard //
    2026-08-01

TranscriptFetch is one API for getting text out of video and web content.

Send a URL from YouTube, TikTok, Instagram, X or Facebook and get back clean, timestamped text. Send any web page and get clean Markdown. One endpoint, one response shape, one API key.

The part that actually matters

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 a large share of captions on both platforms are burned into the video frames where no parser can read them.

When there is no caption track, TranscriptFetch transcribes the audio instead. Same endpoint, same response, so your code never branches on which method produced the text.

What you get back

  • A joined text field for feeding a model or a search index
  • A segments array with per-cue start times and durations, so subtitles and jump-to-moment links are a formatting step rather than another integration
  • Consistent output whether the text came from captions or speech recognition

Built for pipelines and agents

  • MCP server so Claude, Cursor and other MCP clients can fetch transcripts as a tool mid-conversation
  • Python and JavaScript SDKs
  • Batch endpoint for up to 50 videos in a single call
  • Channel, playlist and keyword-search endpoints for ingesting at scale

Pricing

100 free credits on signup, no card required. One credit per successful response. Failed, blocked and empty results are never charged, which matters on short-form video where a meaningful share of any batch is music with no speech in it.

Smell Dating

Pricing URL
-
$ Details
-
Release Date
-

TranscriptFetch

$ Details
freemium $5.0 / Monthly (Basic, 500 credits)
Release Date
2026 May
Startup details
Country
United States
State
Texas
Founder(s)
Chandler Casey
Employees
1 - 9

Smell Dating features and specs

  • Unique Matching Method
    Smell Dating uses natural body scent to match individuals, offering a unique and scientifically-backed method that goes beyond superficial online profiles.
  • Biological Compatibility
    By focusing on scent, Smell Dating potentially matches individuals based on biological and pheromonal compatibility, which could lead to more successful relationships.
  • Novelty and Curiosity
    The unusual concept of smell-based dating piques curiosity and attracts those looking for something different from traditional dating platforms.
  • Detachment from Physical Appearance
    Smell Dating prioritizes olfactory senses over visual cues, encouraging users to focus less on physical appearance and more on chemical attraction.

Possible disadvantages of Smell Dating

  • Limited User Base
    As a niche dating service, Smell Dating may have a smaller pool of participants compared to mainstream dating apps, limiting the number of potential matches.
  • Unconventional Approach
    The concept may not appeal to everyone, as it requires users to be open to an unconventional and less common method of finding partners.
  • Hygiene Concerns
    The process of exchanging odor samples can raise hygiene issues or discomfort for some participants, making it less appealing.
  • Lack of Immediate Interaction
    The time taken to collect, send, and process smells might delay initial interactions, unlike digital matches which happen instantly.

TranscriptFetch features and specs

  • Fast Transcript Retrieval
    TranscriptFetch is designed to quickly extract transcripts from YouTube videos, saving users time compared to manually transcribing content.
  • Simple Interface
    The tool typically offers a straightforward, user-friendly interface where users can paste a video link and receive a transcript without complicated steps.
  • Useful for Content Repurposing
    Transcripts can be used to create blog posts, subtitles, summaries, or social media content, making it valuable for content creators and marketers.
  • Time-Saving for Research
    Researchers and students can use transcripts to quickly review video content without watching the entire video, improving efficiency.
  • Accessibility Support
    Providing text versions of video content can help make information more accessible to people with hearing impairments or those who prefer reading.

Smell Dating videos

WHOOPI ATTACKS Ben Carson, SMELL DATING, GOLDEN GIRL sued... || My 2 Cents #2

TranscriptFetch videos

No TranscriptFetch videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Smell Dating and TranscriptFetch)
Dating
100 100%
0% 0
Transcription
0 0%
100% 100
Social Networks
100 100%
0% 0
AI
0 0%
100% 100

Questions & Answers

As answered by people managing Smell Dating and TranscriptFetch.

What makes your product unique?

TranscriptFetch's answer:

Most short-form video has no caption track to download. TikTokโ€™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.

Why should a person choose your product over its competitors?

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.

How would you describe the primary audience of your product?

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.

What's the story behind your product?

TranscriptFetch's answer:

It started with discovering there is no good way to get the text of a video. YouTubeโ€™s official Data API will confirm a caption track exists and then refuse to hand it over, because captions.download requires the video ownerโ€™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.

Which are the primary technologies used for building your product?

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.

User comments

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Social recommendations and mentions

Based on our record, Smell Dating seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Smell Dating mentions (2)

  • Ask HN: Why are dating apps so bad? Why hasn't anyone made a good one?
    Random thoughts: - are there any measurable factors indicating someone is a good match? Okcupid claimed to match people with others who gave similar answers to their questions, but I had some fates with a high match % and still no chemistry. - speaking of chemistry, check out https://smell.dating/ . No idea if it works, but at least itโ€™s a novel approach. - people have different goals, from finding love to sex/... - Source: Hacker News / about 1 year ago
  • Smell You Later: The Weird Science of How Sweat Attracts
    Reminds me of: https://smell.dating/. - Source: Hacker News / about 5 years ago

TranscriptFetch mentions (0)

We have not tracked any mentions of TranscriptFetch yet. Tracking of TranscriptFetch recommendations started around Aug 2026.

What are some alternatives?

When comparing Smell Dating and TranscriptFetch, you can also consider the following products

Flash Dating - Match w/ nearby singles by using real, up to date selfies!

SocialFetch.dev - Social media scraping API for public profiles, posts, comments, videos, transcripts, and metrics from TikTok, Instagram, YouTube, X, LinkedIn, and more. Pay-as-you-go credits, 100 free to start.

Amazon Dating - The Future of Dating

TranscriptAPI.com - Get YouTube video transcripts with a simple API call or through Model Context Protocol. Fast, reliable, and easy to integrate into your applications.

Schmooze - Memes meets Tinder, find a match based on memes

Cuddli - Dating for geeks