Software Alternatives, Accelerators & Startups

Immich VS TranscriptFetch

Compare Immich VS TranscriptFetch and see what are their differences

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Immich logo Immich

immich Self-hosted photo and video backup solution directly from your mobile phone

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.
  • Immich Landing page
    Landing page //
    2023-02-22
  • 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.

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

Immich features and specs

  • Open Source
    Immich is an open-source project, allowing users to contribute to or modify the software according to their requirements. This fosters a strong community and offers transparency in development.
  • Self-hosted
    Immich can be self-hosted, providing users with control over their data and enhancing privacy by not relying on third-party servers for storage.
  • Cross-platform Support
    Immich supports various platforms, making it accessible from different devices, which is convenient for users who operate in multiple environments.
  • Scalability
    The application is designed to scale with user needs, allowing it to handle a growing amount of data efficiently.
  • Community-driven Development
    Because itโ€™s open-source, active community members can suggest features, report bugs, and contribute to the codebase, helping to continually improve the software.

Possible disadvantages of Immich

  • Technical Setup Required
    As a self-hosted solution, users need a certain level of technical knowledge to set up and maintain the software, which could be challenging for non-technical individuals.
  • Maintenance Responsibility
    Users are responsible for regular maintenance, including updates and backing up data, which can be a burden compared to managed services.
  • Limited Support
    Support primarily comes from the community, which may not be as immediate or comprehensive as commercial support options provided by proprietary software.
  • Resource-Dependent
    Running a self-hosted solution requires adequate hardware and/or cloud resources, which can entail additional costs and management overhead.

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.

Immich videos

Back Up Your Phone with Immich and Docker

More videos:

  • Tutorial - How to Install and Setup Immich (The Google Photos Alternative )on Windows

TranscriptFetch videos

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

Add video

Category Popularity

0-100% (relative to Immich and TranscriptFetch)
Image Hosting
100 100%
0% 0
Transcription
0 0%
100% 100
Photos & Graphics
100 100%
0% 0
AI
0 0%
100% 100

Questions & Answers

As answered by people managing Immich 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, Immich seems to be more popular. It has been mentiond 77 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.

Immich mentions (77)

  • Why you should Homelab as a developer
    Immich. I have been working to move away from google photos. Immich is a great open source alternative. With geotagging and machine learning to identify faces all running locally. And you can have multiple users with multiple accounts, this was a no brainer for me. - Source: dev.to / 3 days ago
  • Microsoft deleted my account and OneDrive
    Self-host your data. I like Immich for personal photos: https://immich.app. And VisualDrive Server in corporate environment as a self-hosted replacement for cloud-based OneDrive: https://www.axiorema.com/visualdrive-server/. - Source: Hacker News / 23 days ago
  • Self-Host Immich on a VPS: Your Own Private Google Photos
    TL;DR: Immich is an open-source, self-hosted photo and video platform that genuinely replaces Google Photos โ€” phone auto-backup, AI face and object search, albums, timeline, the lot. This guide runs it with Docker on a VPS: plan your storage, bring up the official Compose stack, put it behind SSL with a large upload limit, connect the mobile app, turn on machine-learning search, and โ€” the part most guides skip โ€”... - Source: dev.to / about 1 month ago
  • Want your images back? Sure... That'll be $5!
    > I don't want to self-host my photos, too much management. I dunno https://immich.app is pretty painless IME. - Source: Hacker News / about 2 months ago
  • Ask HN: Is a hands-off, family-friendly, de-Googled "home lab" feasible?
    Regarding your request for 1, have you looked into Immich [1]? If that's too much, I may recommend bewCloud [2] (I've created it almost 3 years ago, still going well), though it's really just serving the files, so search would have to match the file name. [1]: https://immich.app [2]: https://bewcloud.com. - Source: Hacker News / 3 months ago
View more

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 Immich and TranscriptFetch, you can also consider the following products

ente - ente is a cloud based mobile and desktop photo storage app with a focus on security and privacy.

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.

Nextcloud - With Nextcloud enterprises host their own secure cloud solution for storage, collaboration & communication from any device, anywhere.

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.

PhotoPrism.app - PhotoPrismยฎ is an AI-Powered Photos App for the Decentralized Web. It makes use of the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud.

Piwigo.org - Manage your photo collection with Piwigo. Piwigo is open source photo gallery software for the web. Designed for organisations, teams and individuals.