Software Alternatives, Accelerators & Startups

WhatRuns VS TranscriptFetch

Compare WhatRuns VS TranscriptFetch and see what are their differences

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WhatRuns logo WhatRuns

Extension that helps you identify technologies used on any website at the click of a button.

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.
  • WhatRuns Landing page
    Landing page //
    2019-02-21
  • 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.

WhatRuns

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

WhatRuns features and specs

  • Ease of Use
    WhatRuns offers a user-friendly interface that makes it straightforward for users to identify technologies used on websites without requiring technical knowledge.
  • Comprehensive Technology Detection
    The tool can detect a wide range of technologies including frameworks, analytics tools, WordPress plugins, and more, providing a thorough analysis of websites.
  • Browser Extension
    WhatRuns is available as a browser extension, making it easily accessible and convenient to use directly within your web browser.
  • Freemium Model
    The tool offers a basic free tier, allowing users to access essential features without any cost. There is also a premium option for more advanced features.
  • Regular Updates
    WhatRuns frequently updates its database and functionality, ensuring that users get accurate and up-to-date information.

Possible disadvantages of WhatRuns

  • Limited Free Version
    While the free version is useful, it has limitations in terms of the depth of information and the number of queries you can perform.
  • Privacy Concerns
    Since WhatRuns scans websites and collects data, there could be privacy concerns regarding what data is collected and how it is used.
  • Dependency on Browser
    As a browser extension, it requires installation and could be affected by browser updates or compatibility issues.
  • False Positives/Negatives
    There might be occasional inaccuracies in technology detection, leading to false positives or negatives, which can be misleading.
  • Limited Support
    Support for users, particularly those using the free version, is limited and may not always be responsive or comprehensive.

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.

Category Popularity

0-100% (relative to WhatRuns and TranscriptFetch)
Market Research
100 100%
0% 0
Transcription
0 0%
100% 100
Sales Automation
100 100%
0% 0
AI
0 0%
100% 100

Questions & Answers

As answered by people managing WhatRuns 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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Reviews

These are some of the external sources and on-site user reviews we've used to compare WhatRuns and TranscriptFetch

WhatRuns Reviews

15 Best BuiltWith Alternatives 2022
Compared to BuiltWith, WhatRuns is easier to use and shows a simple user interface with details you want to know about a site. It works exclusively as a browser extension that shows you specific technologies of a website open in the browser. You donโ€™t have to visit the WhatRuns website each time you want to collect data about a site.

TranscriptFetch Reviews

We have no reviews of TranscriptFetch yet.
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What are some alternatives?

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

Wappalyzer - Wappalyzer is a technology profilers and leads data provider. Create lists of websites and contacts that use certain technologies.

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.

BuiltWith - Find out the technology behind websites

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.

Similar Tech - SimilarTech offers a Sales Insights platform which helps companies uncover their ideal market by crawling the sourcecode of over 300M sites.

What CMS - WhatCMS.org looks at a variety of factors within a webpage to determine what CMS a website is using.