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Hachi

HachiGuide3 min read
GuideUpdated Jan 18, 2024·3 min read
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Hachi

Freemium

Hachi: AI-Powered Personal Media Search

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Introduction:

Are you tired of spending hours scrolling through countless photos and videos, trying to find that one specific moment or face?

Introducing Hachi, the AI tool developed by Raman Labs. With Hachi, you can now search your personal media effortlessly using natural language and face recognition.

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Imagine being able to simply ask, “Show me all the photos of my last vacation,” and instantly seeing all the relevant images. Or saying, “Find videos with my best friend,” and watching those memories come to life.

Hachi is privacy-focused, ensuring that all your data stays offline and secure. It offers features like video search, image search, and face recognition, making it easier than ever to organize and find your precious moments.

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Upgrade to the paid version for even more benefits, including improved video search, unlimited indexing, and dedicated support. Don’t waste any more time searching manually – let Hachi revolutionize the way you explore your personal media.

Get Hachi today and experience the power of AI at your fingertips.

Overview:

Hachi, developed by Raman Labs, is an AI tool that enables users to search for information across personal videos and images using natural language as an interface. The tool also offers face recognition that allows users to tag and search quickly using just a face across image collections. The app is privacy-focused and only works offline, as all indexes are stored locally, ensuring a fully private search experience.

Hachi offers several features, including video search, which allows users to search for scenes, objects, and persons via text queries while playing videos at the same time. Additionally, image search allows users to search through their image collections via a text query, making it easy to find desired photos and inspiration. Face recognition allows users to search for themselves or their loved ones across all images, running fully local for a private search experience.

The app requires a quad-core CPU with AVX2 instructions and at least 4GB RAM, supporting only X86_64 architectures. The tool can be purchased through Gumroad and is available in both a free and paid version, with the paid version providing improved video search, an unlimited number of indexed videos and images, email support, and community support, with free updates for one year.

In conclusion, Hachi offers a powerful and fast natural language search interface to search media data on consumer-grade CPUs. It is a well-suited tool for individuals seeking a more efficient and reliable search tool for their personal videos and images.

Benefits:

  • Hachi enables users to search for information across personal videos and images using natural language as an interface.
  • The tool offers face recognition, allowing users to tag and search quickly using just a face across image collections.
  • Hachi is privacy-focused and only works offline, ensuring a fully private search experience.
  • Users can search for scenes, objects, and persons via text queries while playing videos at the same time.
  • The tool allows users to search through their image collections via a text query, making it easy to find desired photos and inspiration.
  • Face recognition feature allows users to search for themselves or their loved ones across all images, running fully local for a private search experience.
  • Hachi requires a quad-core CPU with AVX2 instructions and at least 4GB RAM, supporting only X86_64 architectures.
  • The tool can be purchased through Gumroad and is available in both a free and paid version.
  • The paid version provides improved video search, an unlimited number of indexed videos and images, email support, and community support, with free updates for one year.
  • Hachi offers a powerful and fast natural language search interface to search media data on consumer-grade CPUs.
  • It is a well-suited tool for individuals seeking a more efficient and reliable search tool for their personal videos and images.


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About the authorTechLaugh Team

The TechLaugh editorial team, led by founder Akshay Kumar Singh, tests AI tools on real marketing and creative work. We check pricing on the day of writing, note free-plan limits, and update guides when tools change or shut down.

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