Software Alternatives, Accelerators & Startups

Trint VS Activeloop

Compare Trint VS Activeloop and see what are their differences

Trint logo Trint

Transcribe spoken words from your video & audio files

Activeloop logo Activeloop

Data lake for machine and deep learning. The fastest dataset management tool for computer vision.
  • Trint Landing page
    Landing page //
    2023-09-30
  • Activeloop Landing page
    Landing page //
    2021-09-20

About

Activeloop provides an optimized format for unstructured data, so users can stream their machine learning datasets while training ML models in PyTorch and TensorFlow. Activeloop acts as a data lake for deep learning on unstructured data and offers in-browser dataset visualization, querying, and version control. On top of those features, Activeloop integrates with experimentation and labeling tools to allow rapid iteration on computer vision datasets.

Activeloop supports the following use cases:

Machine Learning teams can apply Activeloop's data infrastructure to ship their models fast in the following use cases:

  1. AgriTech
  2. Audio processing
  3. Autonomous Vehicles & Robotics
  4. Biomedical and Healthcare ML
  5. Multimedia: Image enhancement, video enhancement, face detection, sports analytics, or machine learning for AR/VR
  6. Safety & Security: surveillance machine learning with biometrics, facial recognition, or crowd counting

Trint

Website
trint.com
$ Details
-
Platforms
-
Release Date
-

Activeloop

$ Details
$450.0 / Monthly (Growth Plan for up to 10 users)
Platforms
AWS GCP Python
Release Date
2019 July

Trint videos

Trint transcription review and how-to transcribe your videos instantly

More videos:

  • Review - AI Transcription Service - Trint Review
  • Review - A review of Trint

Activeloop videos

Activeloop Product Demo Video

Category Popularity

0-100% (relative to Trint and Activeloop)
Transcription
100 100%
0% 0
Data Science And Machine Learning
Audio Transcription
100 100%
0% 0
Machine Learning
0 0%
100% 100

User comments

Share your experience with using Trint and Activeloop. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Trint should be more popular than Activeloop. It has been mentiond 8 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.

Trint mentions (8)

  • How to Find Ideas for Your Book with AI Tools
    Create audio descriptions of visual content, such as images and videos. Descript, Caption AI, Trint, and IBM Watson Captioningare good tools for generating captions and descriptions for videos. Source: about 1 year ago
  • Programs to get transcription from a video.
    You could check on this for transcription. Source: over 1 year ago
  • What are Investigative Journalist Tools?
    There's simple ones like Trint (https://trint.com/) for transcription of interviews and things like Grammarly for improving text. ChatGPT is also good at improving text: chat.openai.com/. Source: over 1 year ago
  • Subtitling Adobe Premiere
    If not, see how you get on with Trint. It’s AI transcription but you should find it more accurate than Premiere (and you can use it to quickly create SRT files after the transcript has been reviewed/corrected). Trint is very good. Source: over 1 year ago
  • Trint is a doc editor’s dream
    The client I’m working for currently turned me on to https://trint.com/. It’s a transcription service that syncs the searchable transcript to the time code of the clip. Script has bad timecode for a cut? Search the text to jump to the correct time. Bad inflection on the end of a sound bite? Search for the word with a period after it, so you only get sentence ending instances of the word. It has made my life so... Source: almost 2 years ago
View more

Activeloop mentions (4)

  • [P] I built a Chatbot to talk with any Github Repo. 🪄
    This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake. The chatbot searches a dataset stored in Deep Lake to find relevant information and generates responses based on the user's input. Source: about 1 year ago
  • [D] NLP has HuggingFace, what does Computer Vision have?
    u/Remote_Cancel_7977 we just launched 100+ computer vision datasets via Activeloop Hub yesterday on r/ML (#1 post for the day!). Note: we do not intend to compete with HuggingFace (we're building the database for AI). Accessing computer vision datasets via Hub is much faster than via HuggingFace though, according to some third-party benchmarks. :). Source: about 2 years ago
  • [P] Database for AI: Visualize, version-control & explore image, video and audio datasets
    Hub, our open-source package, lets you stream datasets while training to PyTorch/TensorFlow. Check out how we achieved 95% GPU utilization while training on ImageNet at 50% less cost. We're building the Database for AI, with everything it should contain. If there's an adjacent feature that would make it more useful for your workflow, do let us know! Source: over 2 years ago
  • [P] Database for AI: Visualize, version-control & explore image, video and audio datasets
    I'm Davit from Activeloop (activeloop.ai). Source: over 2 years ago

What are some alternatives?

When comparing Trint and Activeloop, you can also consider the following products

HappyScribe - Happy Scribe automatically transcribes your interviews

DoltHub - DoltHub is where people collaboratively build, manage, and distribute structured data.

Sonix - Automatically convert audio & video to text in minutes

Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

SpeechText.ai - AI software for speech to text conversion and audio/video transcription. Get accurate results using domain-specific speech recognition technology!

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.