Software Alternatives, Accelerators & Startups

Segments.ai VS Google Cloud Text-to-Speech

Compare Segments.ai VS Google Cloud Text-to-Speech and see what are their differences

Segments.ai logo Segments.ai

Multi-sensor labeling platform for robotics and autonomous driving

Google Cloud Text-to-Speech logo Google Cloud Text-to-Speech

Text to speech conversion powered by machine learning
  • Segments.ai Homepage
    Homepage //
    2024-04-12

Segments.ai is a fast and accurate data labeling platform for multi-sensor data annotation. You can obtain segmentation labels, vector labels, and more via the intuitive labeling interfaces for images, videos, and 3D point clouds.

Build your clever annotation workflow exactly how you want, with the flexibility you need to get the job done quickly and efficiently. Segments.ai is a self-serve platform with dedicated support from our core team of engineers when you need it.

Onboard your workforce or use one of our workforce partners. Our management tools make it easy to label and review large datasets together.

Get started with a free trial today at https://segments.ai/join

  • Google Cloud Text-to-Speech Landing page
    Landing page //
    2022-11-02

Segments.ai

$ Details
freemium €800.0 / Monthly (Includes 3,600 hours/yr of labeling usage)
Platforms
AWS Azure Python TensorFlow Hugging Face 🤗
Release Date
2020 January

Google Cloud Text-to-Speech

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

Segments.ai features and specs

  • Image Segmentation: Semantic Segmentation / Instance Segmentation / Panoptic Segmentation
  • Image Vector Labeling: Bounding Boxes / Polygons / Polylines / Keypoints
  • Point Cloud Segmentation: Semantic Segmentation / Instance Segmentation / Panoptic Segmentation
  • Point Cloud Vector Labeling: Cuboids / Polygons / Polylines / Keypoints
  • ML-powered labeling tools: SuperPixel 2.0 / Autosegment
  • Multi-sensor fusion: 2D and 3D overlay / 3D to 2D projections
  • Powerful Python SDK: Yes
  • Unlimited sized Point Clouds: Unlimited

Google Cloud Text-to-Speech features and specs

No features have been listed yet.

Segments.ai videos

3D point cloud labeling platform for autonomous vehicles and robotics | Segments ai

Google Cloud Text-to-Speech videos

How to convert text to speech using Google Cloud Text-to-Speech API and Ruby on Rails

Category Popularity

0-100% (relative to Segments.ai and Google Cloud Text-to-Speech)
Data Labeling
100 100%
0% 0
AI
16 16%
84% 84
Image Annotation
100 100%
0% 0
Text To Speech
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Text-to-Speech seems to be more popular. It has been mentiond 59 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.

Segments.ai mentions (0)

We have not tracked any mentions of Segments.ai yet. Tracking of Segments.ai recommendations started around Mar 2021.

Google Cloud Text-to-Speech mentions (59)

  • Hindi Conversational Text-to-Speech
    My friend was a contractor for Hindi TTS at Google https://cloud.google.com/text-to-speech. - Source: Hacker News / 3 months ago
  • Mini Kore Anki Deck with Audio
    I created an Anki Deck with all of the words from Mini Kore and 300+ Mini Kore sentences from the various documents on minilanguage.com. The deck includes audio for all words and sentences. Audio was generated using the Google Text-to-Speech API. The deck can be found here:. Source: about 1 year ago
  • 📽️ Introducing Swiftube - Make simple talking-head videos in React ⚛️
    Under the hood, it is powered by: - Remotion - Google TTS - OpenAI. Source: about 1 year ago
  • Text to speech still sucks
    Text-to-Speech: Lifelike Speech Synthesis  |  Google Cloud. Source: about 1 year ago
  • Get Started Making Music
    Thanks! The synth is Dreamtonics' Synthesizer V, using the SOLARIA voice database from Eclipsed Sounds. What really sold it to me was listening to some beautifully crafted covers from this YouTube channel: https://www.youtube.com/watch?v=KX0lcVr9ugI), which was quite interesting and somewhat pleasant sounding for spoken word vocals, but didn't really have the range or expressiveness I was looking for. - Source: Hacker News / about 1 year ago
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What are some alternatives?

When comparing Segments.ai and Google Cloud Text-to-Speech, you can also consider the following products

Labelbox - Build computer vision products for the real world

Amazon Polly - Named for a parrot, Amazon Polly is a text-to-speech (TTS) software that makes your text come to life in a natural, authentic way. The software has many lifelike voices, both male and female, and in a variety of languages.

Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset

Play.ht - AI Voice and Speech Generation tool

Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...

NaturalReader - Main Feature: Full Common Functions: Read Text Files o Text files o MS Word files