Geminate Voice to Text

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Geminate comes with a feature that convert your speech to text, so no need to type everything manually using keyboard. Here we are delivering a solution that provides simplicity, efficiency, accuracy and smartness with this digital world. We are making very simple for you - you speak and we write for you. It will help to enhance the productivity and quick your process. Even if you have language problem then it will help you to recognize your words and form them in to text. No need to type long text anymore. Just speak and it will write automatically any words - any long. doesn't matter 

Software

Geminate Voice Input
●
Geminate comes with a feature that convert your speech to text, so
no need to type everything manually using keyboard. Here we are
delivering a solution that provides simplicity, efficiency, accuracy and
smartness with this digital world.
●
We are making very simple for you - you speak and we write for you.
●
It will help to enhance the productivity and quick your process. Even
if you have language problem then it will help you to recognize your
words and form them in to text.
●
No need to type long text anymore. Just speak and it will write
automatically any words - any long. doesn't matter 😊

Available Key Features
●
Supported fields : char, text, m2o, o2m, m2m, html.
●
Supported views: formview, listview and html iframe.
●
Enhance Productivity and quicken your process.
●
Single click and just speak it will write automatically
any words.
●
Delivers a solution that provides simplicity, efficiency
and accuracy.

Editions Supported
●
1. Enterprise Version
●
2. Community Version
●
NOTE: Speech recogniztion has browser support
currently limited to just chrome for now. firefox
support can be enabled by setting the
media.webspeech.recognition.enable flag in
about:config.

Screenshots
●
1) Speech Recognition in many2one field:

●
4) Speech Recognition in many2many field:

●
6) Speech Recognition warning if user tries to
record for multiple fields at same time:

●
Note : Speech Recognition is not supported list
view and one2many field.

Find more Apps from Geminate
Our Services
Odoo Customization Odoo Implementation Odoo Integration Odoo Support

Complimentary Support
You will get 90 days free support for any doubt,
queries, and bug fixing (excluding data recovery)
or any type of issue related to this module.

Contact / Support
Need assistance?
Website Send Email Services

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In today's dynamic e-commerce landscape, the payment gateway emerges as a linchpin, ensuring smooth and secure transactions between buyers and sellers. In this discourse, we delve into the meticulous process of devising test cases tailored for scrutinizing payment gateways. Crafting precise test cases for payment gateways is a quintessential responsibility for testers operating within the service industry. This article meticulously explores pivotal scenarios integral to how to test payment gateways, coupled with essential guidelines for drafting effective test cases.

Payment Gateway Testing Simplified_ A Step-by-Step Guide for Beginners.pdf

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Many specialized tools cater to distinct stages within the software development lifecycle (SDLC). These tools target various aspects of development, delivery, and operations, each with its unique strengths. Uniting these diverse testing needs into a single continuous testing platform presents several challenges. Such a platform must seamlessly integrate with various development tools and environments, accommodate different testing methodologies, and remain flexible to adapt to organizational processes and quality standards.

The Guide to Integrating Generative AI into Unified Continuous Testing Platfo...

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OpenChain - The Ramifications of ISO/IEC 5230 and ISO/IEC 18974 for Legal Pro...

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Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Steffen Staab

MarTech Trend 2024 Book : Marketing Technology Trends (2024 Edition) How Data...

Jittipong Loespradit

In the realm of real-time applications, Large Language Models (LLMs) have long dominated language-centric tasks, while tools like OpenCV have excelled in the visual domain. However, the future (maybe) lies in the fusion of LLMs and deep learning, giving birth to the revolutionary concept of Large Action Models (LAMs). Imagine a world where AI not only comprehends language but mimics human actions on technology interfaces. For example, the Rabbit r1 device presented at CES 2024, driven by an AI operating system and LAM, brings this vision to life. It executes complex commands, leveraging GUIs with unprecedented ease. In this presentation, join me on a journey as a software engineer tinkering with WebRTC, Janus, and LLM/LAMs. Together, we’ll evaluate the current state of these AI technologies, unraveling the potential they hold for shaping the future of real-time applications.

Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications

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Investing in AI transformation today The modern business advantage: Uncovering deep insights with AI Organizations around the world have come to recognize AI as the transformative technology that enables them to gain real business advantage. AI’s ability to organize vast quantities of data allows those who implement it to uncover deep business insights, augment human expertise, drive operational efficiency, transform their products, and better serve their customers

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10 Trends Likely to Shape Enterprise Technology in 2024

Mind IT Systems

Unlocking the Future of AI Agents with Large Language Models

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At the recent Microsoft Ignite 2023 conference, Microsoft unveiled a groundbreaking strategy that will redefine enterprise work management. The plan involves integrating Microsoft’s key planning tools, Microsoft To Do, Microsoft Planner, and Microsoft Project for the web into a unified experience called “Microsoft Planner.” What does this new strategy from Microsoft mean for current users? Join us and learn how best to take advantage of this announcement while gaining a clear path on how to elevate the current state of Microsoft Planner from a basic task manager to a comprehensive tool for Enterprise Work Management using OnePlan. Learn how OnePlan’s integration with Microsoft Planner allows for strategic alignment with business goals through advanced features like strategic planning, portfolio management, resource management, financial management, and more!

Introducing Microsoft’s new Enterprise Work Management (EWM) Solution

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