Software Alternatives, Accelerators & Startups

neptune.ai VS SpeechText.ai

Compare neptune.ai VS SpeechText.ai and see what are their differences

neptune.ai logo neptune.ai

Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

SpeechText.ai logo SpeechText.ai

AI software for speech to text conversion and audio/video transcription. Get accurate results using domain-specific speech recognition technology!
  • neptune.ai Landing page
    Landing page //
    2023-08-24

Track and version your notebooks Log all your notebooks directly from Jupyter or Jupyter Lab. All you need is to install a Jupyter extension.

Manage your experimentation process Neptune tracks your work with virtually no interference to the way you like to do it. Decide what is relevant to your project and start tracking: - Metrics - Hyperparameters - Data versions - Model files - Images - Source code

Integrate with your workflow easily Neptune is a lightweight extension to your current workflow. Works with all common technologies in data science domain and integrates with other tools. It will take you 5 minutes to get started.

  • SpeechText.ai Landing page
    Landing page //
    2023-05-24

SpeechText.AI can use one of several machine learning models to transcribe audio files based on the original type of the audio. It provides multiple pre-built models, and you can improve the quality of speech recognition for various types of audio. If you specify the type of the original audio, this will allow the service to process your audio files using a machine learning model trained from data similar to your file.

neptune.ai

Website
neptune.ai
$ Details
freemium
Platforms
Python
Release Date
2018 April
Startup details
Country
Poland
State
Mazowieckie
City
Warsaw
Founder(s)
Piotr Niedzwiedz
Employees
10 - 19

neptune.ai features and specs

No features have been listed yet.

SpeechText.ai features and specs

  • Free Trial: Free trial available
  • Clean UI: Simple and intuitive user interface for rapid and accurate search
  • Domain-Optimized Models: Powerful domain-optimized machine learning models to improve the accuracy of speech recognition for industries such as finance, healthcare, legal, HR, and others
  • Speech-to-text: Automatic captioning and subtitling
  • Multiple Languages: Audio to text converter supports more than 30 languages and non-native speaker accents
  • Proofreading Interface: Edit, verify and export audio/video transcription results

neptune.ai videos

Machine Learning Experiment Management with Neptune.ai - How to start

SpeechText.ai videos

Convert Audio Files into Text Files in seconds

More videos:

  • Demo - La REGIÓN ANDINA colombiana: flora, fauna, clima, características

Category Popularity

0-100% (relative to neptune.ai and SpeechText.ai)
Data Science And Machine Learning
AI
0 0%
100% 100
Data Science Notebooks
100 100%
0% 0
Transcription
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare neptune.ai and SpeechText.ai

neptune.ai Reviews

  1. Easy to use, not overdone, good for model management and collab

    Only negative is I didn't see it integrated with Azure, does with Google, AWS and one more. Looks real nice, and pretty powerful and plenty useful features for a data science group

SpeechText.ai Reviews

We have no reviews of SpeechText.ai yet.
Be the first one to post

Social recommendations and mentions

Based on our record, neptune.ai seems to be a lot more popular than SpeechText.ai. While we know about 23 links to neptune.ai, we've tracked only 2 mentions of SpeechText.ai. 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.

neptune.ai mentions (23)

  • A step-by-step guide to building an MLOps pipeline
    Experiment tracking tools like MLflow, Weights and Biases, and Neptune.ai provide a pipeline that automatically tracks meta-data and artifacts generated from each experiment you run. Although they have varying features and functionalities, experiment tracking tools provide a systematic structure that handles the iterative model development approach. - Source: dev.to / 27 days ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Neptune.ai - Log, store, display, organize, compare, and query all your MLOps metadata. Free for individuals: 1 member, 100 GB of metadata storage, 200h of monitoring/month. - Source: dev.to / 5 months ago
  • Show HN: A gallery of dev tool marketing examples
    Hi I am Jakub. I run marketing at a dev tool startup https://neptune.ai/ and I share learnings on dev tool marketing on my blog https://www.developermarkepear.com/. Whenever I'd start a new marketing project I found myself going over a list of 20+ companies I knew could have done something well to “copy-paste” their approach as a baseline (think Tailscale, DigitalOCean, Vercel, Algolia, CircleCi, Supabase,... - Source: Hacker News / 9 months ago
  • How to structure/manage a machine learning experiment? (medical imaging)
    There are a lot of tools out there for experiment tracking (eg neptune.ai), but I'm really not sure whether that sort of thing is over the top for what I need to do. Source: 10 months ago
  • How to grow a developer blog to 3M annual visitors? with Jakub Czakon (Neptune.ai)
    Welcome to another episode of The Developer-led Podcast, where we dive into the strategies modern companies use to build and grow their developer tools. In this exciting episode, we're joined by Jakub Czakon, the CMO at Neptune.ai, a startup that assists developers in efficiently managing their machine-learning model data. Jakub is renowned not only for his role at Neptune.ai but also for his developer marketing... - Source: dev.to / 10 months ago
View more

SpeechText.ai mentions (2)

  • Speech Recognition in Healthcare: 10 ways it’s transforming modern medicine
    Healthcare is one of the biggest industries in the world. Doctors, nurses, and other health care practitioners are using technology to enhance their performance. Voice recognition technologies and medical speech recognition software have become essential for healthcare providers. This sector includes many companies developing highly efficient voice recognition tools. Source: over 2 years ago
  • Speech recognition library for financial markets
    I also tried speechtext.ai which honestly did a very good job and I'm happy with it, but pricing wise it's too much. Source: almost 3 years ago

What are some alternatives?

When comparing neptune.ai and SpeechText.ai, you can also consider the following products

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

HappyScribe - Happy Scribe automatically transcribes your interviews

Comet.ml - Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

Trint - Transcribe spoken words from your video & audio files

Weights & Biases - Developer tools for deep learning research

Transcri.io - Online Sofware (SaaS) for Audio Transcription and Subtitle Generation | Powered by Artificial Intelligence