Software Alternatives, Accelerators & Startups

Aurasma VS TranscriptFetch

Compare Aurasma VS TranscriptFetch and see what are their differences

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Aurasma logo Aurasma

Aurasma is changing the way we interact with the world. Turn everyday objects, images, and places into new opportunities for engagement through striking augmented reality experiences. Watch Video. The World's Leading Augmented Reality Platformย .

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.
  • Aurasma Landing page
    Landing page //
    2018-09-29
  • 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.

Aurasma

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

Aurasma features and specs

  • User-Friendly Interface
    Aurasma offers an intuitive and straightforward user interface, making it accessible for both beginners and experts to create augmented reality experiences without extensive technical knowledge.
  • Customizable Content
    Users can create and customize their own augmented reality content, known as 'Auras,' allowing for personalized and interactive experiences tailored to specific needs or branding.
  • Cross-Platform Support
    Aurasma supports multiple platforms, enabling users to create AR content that is accessible on various devices, enhancing its versatility and reach.
  • Community and Sharing Features
    Aurasma includes features for community engagement, allowing users to share their Auras with others and discover new content, fostering a collaborative environment.

Possible disadvantages of Aurasma

  • Limited Advanced Features
    Aurasma may lack some advanced AR functionalities found in more specialized AR development tools, potentially limiting its application for complex AR projects.
  • Performance Issues
    Some users have reported performance issues, such as slow loading times or glitches, which can affect the overall user experience when using the app.
  • Dependency on Aurasma App
    To view the created Auras, end users need to download the Aurasma app, which could be a barrier for some potential users and limit audience reach.
  • Limited Analytics
    Aurasma lacks in-depth analytics capabilities, making it difficult for creators to track and evaluate the performance and engagement of their AR content.

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.

Aurasma videos

Aurasma Review and Tutorial

More videos:

TranscriptFetch videos

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Category Popularity

0-100% (relative to Aurasma and TranscriptFetch)
Augmented Reality
100 100%
0% 0
Transcription
0 0%
100% 100
Text Editors
100 100%
0% 0
AI
0 0%
100% 100

Questions & Answers

As answered by people managing Aurasma 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 Aurasma and TranscriptFetch, you can also consider the following products

Layar - Layar is the global leader in augmented reality and interactive print technology. Print materials spring to life with digital content using the worldโ€™s #1 augmented reality app.

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.

Geocaching - Geocaching is the premier app for locating geocaches. This app is available for both the Android and iOS platforms, and it makes locating these popular hidden treasures easy and fun.

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.

Ingress - Winner of the Grand Prize at the 2015 Japanese Media Arts Festival Ingress transforms the real world into the landscape for a global game of mystery, intrigue, and competition. Our future is at stake.

Pokรฉmon GO - Pokรฉmon GO was first introduced in 2016 and immediately became a cultural phenomenon. The game is designed to be played on mobile devices and is available for both the Android and iOS platforms.