Software Alternatives, Accelerators & Startups

LS Intranet VS SpeechText.ai

Compare LS Intranet VS SpeechText.ai and see what are their differences

LS Intranet logo LS Intranet

LS Intranet is a corporate intranet that facilitates multiple employees collaborating on projects, and working in synergy.

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!
  • LS Intranet Landing page
    Landing page //
    2023-03-15
  • 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.

LS Intranet 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

LS Intranet videos

LS Intranet Software by Lizard Soft

More videos:

  • Demo - LS Intranet an extended demonstration
  • Review - LS Intranet Search

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 LS Intranet and SpeechText.ai)
Communication
100 100%
0% 0
Transcription
0 0%
100% 100
Project Management
100 100%
0% 0
Audio Transcription
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, SpeechText.ai seems to be more popular. It has been mentiond 2 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.

LS Intranet mentions (0)

We have not tracked any mentions of LS Intranet yet. Tracking of LS Intranet recommendations started around Mar 2021.

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 LS Intranet and SpeechText.ai, you can also consider the following products

Communifire - Enterprise Social Collaboration Software

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

Bonzai Intranet - Bonzai is an intranet platform with flexible pre-built features for SharePoint and Office 365.

HappyScribe - Happy Scribe automatically transcribes your interviews

hub - The Hub is a versatile intranet portal and collaboration solution that boosts employee engagement and productivity in a digital workplace.

Audext - Use online audio to text converter to transcribe any voice recording in minutes.