Software Alternatives, Accelerators & Startups

Made With ARKit VS TranscriptFetch

Compare Made With ARKit VS TranscriptFetch and see what are their differences

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Made With ARKit logo Made With ARKit

Hand-picked curation of the coolest stuff made with ARKit

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.
  • Made With ARKit Landing page
    Landing page //
    2023-10-02
  • 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.

Made With ARKit

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

Made With ARKit features and specs

  • Curated Content
    Made With ARKit showcases a curated collection of augmented reality (AR) applications and projects, which helps users discover high-quality AR experiences created with Apple's ARKit.
  • Inspiration
    The platform can serve as a source of inspiration for developers and designers looking to see whatโ€™s possible with ARKit, sparking ideas for their own projects.
  • Community Engagement
    Made With ARKit fosters a sense of community among AR developers, allowing them to share their work, gain feedback, and collaborate with others in the space.
  • Visibility for Developers
    By being featured on Made With ARKit, developers can gain visibility for their projects, potentially attracting users, collaborators, or investors.
  • Showcases ARKit's Potential
    The platform highlights the capabilities of Apple's ARKit, demonstrating the innovative and diverse range of applications that can be built using the technology.

Possible disadvantages of Made With ARKit

  • Limited to ARKit
    Made With ARKit exclusively features projects created with Apple's ARKit, which may exclude or overlook compelling AR experiences built using other platforms or technologies.
  • Curation Bias
    The curated nature of the platform means there could be a bias in which projects are featured, potentially overlooking smaller or independent developersโ€™ work.
  • Quality Control
    While curation aims to ensure quality, the subjective nature of what is deemed high-quality could result in a varied range of user experiences.
  • Dependence on ARKit Updates
    The platform's relevance is tied to the continuous innovation and updates from Apple's ARKit. Any slowdown or issues with ARKit itself could impact the platform's content stream.
  • Platform Dependency
    Developers who want visibility on Made With ARKit need to be developing specifically for the Apple ecosystem, which could limit their reach if they aim for cross-platform AR development.

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.

Analysis of Made With ARKit

Overall verdict

  • Made With ARKit is highly regarded as a useful and insightful platform for showcasing ARKit projects. Its well-organized and regularly updated content makes it a great resource for those interested in the latest advancements and applications in augmented reality.

Why this product is good

  • Made With ARKit is considered good because it curates a collection of innovative and creative applications, tools, and projects developed using ARKit, Apple's augmented reality platform. It serves as a valuable resource for developers, AR enthusiasts, and consumers to discover and explore the potential of AR technology. The platform helps highlight the diversity of AR applications, from gaming to utility apps, providing inspiration and insights into the capabilities of ARKit.

Recommended for

  • Developers looking for inspiration for AR projects using ARKit
  • Augmented reality enthusiasts eager to explore innovative apps
  • Businesses and educators interested in adopting AR immersive experiences
  • Consumers curious about the practical applications of AR technology

Made With ARKit videos

AR Restaurant Menu Concept made with ARKit

TranscriptFetch videos

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

Add video

Category Popularity

0-100% (relative to Made With ARKit and TranscriptFetch)
Augmented Reality
100 100%
0% 0
Transcription
0 0%
100% 100
iPhone
100 100%
0% 0
AI
0 0%
100% 100

Questions & Answers

As answered by people managing Made With ARKit 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.

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What are some alternatives?

When comparing Made With ARKit and TranscriptFetch, you can also consider the following products

Apple ARKit - A framework to create Augmented Reality experiences for iOS

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.

Snap Art - Snap's augmented reality platform

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.

AirMeasure - Turn your phone into a ruler with the power of AR

Google ARCore - Google Augmented Reality SDK