Software Alternatives, Accelerators & Startups

Nubo VS TranscriptFetch

Compare Nubo 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.

Nubo logo Nubo

A self-hosted file sharing application in Haskell.

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.
  • Nubo Landing page
    Landing page //
    2023-07-28
  • 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.

Nubo

Website
github.com
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

Nubo features and specs

  • Reverse Proxy Capabilities
    Nubo provides reverse proxy capabilities allowing it to manage, redirect, and route network requests to different backend services efficiently.
  • Written in Haskell
    Being implemented in Haskell, Nubo can leverage Haskell's strong type system and functional programming paradigm, reducing bugs and improving reliability.
  • Open Source
    Nubo is open-source, which means users can modify, enhance, or inspect the codebase, fostering community-driven development.
  • Highly Configurable
    The tool allows for a high level of customization and configuration, enabling it to meet various deployment needs.
  • Community Support
    As an open-source project hosted on GitHub, users can benefit from community support and contributions.

Possible disadvantages of Nubo

  • Limited Documentation
    The documentation for Nubo may be limited or not as comprehensive as commercially supported solutions, which can be challenging for new users.
  • Niche Language
    While Haskell provides several advantages, it is a niche language which might pose a learning curve for developers unfamiliar with it.
  • Community Reliance
    Since it's community-driven, reliance on community support can mean less immediate or formal support compared to commercial alternatives.
  • Resource Intensive
    Depending on deployment, reverse proxies like Nubo can require significant resources, particularly in high-traffic scenarios.
  • Potential Complexity
    The flexibility of configurations may introduce additional complexity, which can be challenging to manage without adequate expertise.

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.

Nubo videos

Best indoor playgrounds in Sydney? | Nubo playground review | Nubo Alexandria

TranscriptFetch videos

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

Add video

Category Popularity

0-100% (relative to Nubo and TranscriptFetch)
File Sharing
100 100%
0% 0
Transcription
0 0%
100% 100
File Management
100 100%
0% 0
AI
0 0%
100% 100

Questions & Answers

As answered by people managing Nubo 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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What are some alternatives?

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

Box - Box offers secure content management and collaboration for individuals, teams and businesses, enabling secure file sharing and access to your files online.

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.

Filecamp - Digital Asset Management & Online Proofing tools beautifully integrated, into one secure and cost-effective solution. Manage all your digital marketing assets from your own good-looking, easy-to-use spot in the cloud. Unlimited users in all plans!

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.

Soonr - Soonr is a cloud-based document storing and file sharing system for the small and medium-size businesses.

4sync - A wonderful application that links all of your computers and mobile devices together. Easiest way to back up and sync your files online. Cross platform file management in the cloud