# Best Natural Language Generation (NLG) Software - Page 4

*By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)*


Natural language generation (NLG) software uses artificial intelligence to interpret structured or unstructured data and automatically present it in easily understood written formats, such as reports, dashboards, or charts, enabling both technical and non-technical users to derive business actions from large data sets.

### Core Capabilities of NLG Software

To qualify for inclusion in the Natural Language Generation category, a product must:

- Process data and information using [deep learning](https://www.g2.com/categories/deep-learning)
- Generate actionable insights from data using deep learning
- Present data in an easily digestible manner for both technical and non-technical users

### Common Use Cases for NLG Software

Data scientists, analysts, and business users use NLG software to automatically transform complex data into readable, actionable narratives. Common use cases include:

- Automatically generating written reports and summaries from large structured or unstructured data sets
- Supplementing or supporting data analyst workflows by producing narrative-driven data outputs
- Integrating with BI tools to add natural language narration to dashboards and visualizations

### How NLG Software Differs from Other Tools

NLG solutions often work in conjunction with [business intelligence software](https://www.g2.com/categories/business-intelligence) or [big data analytics platforms](https://www.g2.com/categories/big-data-analytics) to add automated narrative generation to existing data workflows. Unlike general analytics tools that visualize data, NLG platforms uniquely convert data into written language, making them particularly valuable for organizations that need to communicate data insights to non-technical stakeholders at scale.

### Insights from G2 on NLG Software

Based on category trends on G2, the quality of AI-generated narratives and ease of integration with BI platforms stand out as standout features. Time savings in report writing and improved data accessibility for non-technical users as primary outcomes of adoption.






## G2 Grid® for Natural Language Generation (NLG) Software
![G2 Grid® for Natural Language Generation (NLG) Software plotting products by satisfaction and market presence](https://www.g2.com/categories/natural-language-generation-nlg/grids.png?focus%5B%5D=1594735&focus%5B%5D=21473&focus%5B%5D=30623&focus%5B%5D=21459&focus%5B%5D=149354&focus%5B%5D=148231&focus%5B%5D=124685&focus%5B%5D=122867)
Highlighted products: Microsoft Copilot, Google Cloud Translation API, Quill, Wordsmith, Anyword, GluonNLP Sentence Generator, Twin, and Alana AI.
Underlying data: [Grid® JSON](https://www.g2.com/categories/natural-language-generation-nlg/grids.json?focus%5B%5D=microsoft-microsoft-copilot&focus%5B%5D=google-cloud-translation-api&focus%5B%5D=narrative-science-quill&focus%5B%5D=wordsmith&focus%5B%5D=anyword&focus%5B%5D=gluonnlp-sentence-generator&focus%5B%5D=twin&focus%5B%5D=alana-ai)


## How Many Natural Language Generation (NLG) Software Products Does G2 Track?
**Total Products under this Category:** 89

### Category Stats (Jul 2026)
- **Average Rating**: 4.44/5 The average rating of products in this category, based on all submitted ratings

*Last updated: July 03, 2026*


## How Does G2 Rank Natural Language Generation (NLG) Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 4,400+ Authentic Reviews
- 89+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.


## Which Natural Language Generation (NLG) Software Is Best for Your Use Case?

- **Leader:** [Microsoft Copilot](https://www.g2.com/products/microsoft-microsoft-copilot/reviews)
- **Highest Performer:** [Quill](https://www.g2.com/products/narrative-science-quill/reviews)
- **Easiest to Use:** [Microsoft Copilot](https://www.g2.com/products/microsoft-microsoft-copilot/reviews)
- **Top Trending:** [Alana AI](https://www.g2.com/products/alana-ai/reviews)
- **Best Free Software:** [Google Cloud Translation API](https://www.g2.com/products/google-cloud-translation-api/reviews)


---

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---

## What Are the Top-Rated Natural Language Generation (NLG) Software Products in 2026?
### 1. [Reportpdf](https://www.g2.com/products/reportpdf/reviews)
ReportPDF is an AI-powered tool designed to transform spreadsheet data into professional PDF reports swiftly and efficiently. By leveraging artificial intelligence, it automates the report generation process, enabling users to convert complex datasets into well-structured, visually appealing documents without manual formatting. This streamlines workflows and enhances productivity for individuals and organizations handling large volumes of data. Key Features and Functionality: - AI-Driven Automation: Utilizes artificial intelligence to automatically generate PDF reports from spreadsheet data, reducing the need for manual intervention. - User-Friendly Interface: Offers an intuitive platform that simplifies the report creation process, making it accessible to users with varying levels of technical expertise. - Time Efficiency: Significantly cuts down the time required to produce comprehensive reports, allowing users to focus on data analysis and decision-making. Primary Value and Problem Solved: ReportPDF addresses the challenge of converting raw spreadsheet data into polished, professional reports. By automating this process, it eliminates the tedious task of manual formatting, reduces the potential for human error, and accelerates report production. This is particularly beneficial for businesses and professionals who need to generate regular reports, as it enhances efficiency and ensures consistency in report quality.



**Who Is the Company Behind Reportpdf?**

- **Seller:** [ReportPDF](https://www.g2.com/sellers/reportpdf)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 2. [Ritivel](https://www.g2.com/products/ritivel/reviews)
Ritivel is an AI-native regulatory platform tailored for the life sciences industry, including pharmaceutical, biotechnology, medical device companies, and contract research organizations (CROs). It automates the drafting of critical regulatory documents such as Clinical Study Reports (CSRs), Common Technical Document (CTD) modules, Investigational New Drug (IND) applications, and Biologics License Applications (BLAs), transforming processes that traditionally take weeks into tasks completed in minutes. This acceleration helps expedite drug approvals and brings treatments to patients faster. Key Features and Functionality: - Consistency: Ensures uniformity across drafts, updates, and submissions, reducing unexpected changes and minimizing review cycles. - Traceability: Provides word-level traceability, allowing every statement to be linked back to its original source document, facilitating quick verification during audits or reviews. - Accuracy: Utilizes domain-specific AI trained in medical and regulatory language to maintain narrative consistency and reduce errors in high-stakes documents. - Security: Offers 100% local deployment, ensuring that sensitive data remains within the organization's infrastructure, meeting stringent compliance and data privacy requirements. Primary Value and Problem Solved: Ritivel addresses the inefficiencies in regulatory documentation processes by automating the creation of essential documents, thereby reducing the time and resources required for manual drafting. This leads to faster regulatory submissions, fewer review cycles, and higher confidence in every filing. By streamlining these workflows, Ritivel enables regulatory teams to focus more on scientific research and less on administrative tasks, ultimately accelerating the delivery of life-saving treatments to patients.



**Who Is the Company Behind Ritivel?**

- **Seller:** [Ritivel](https://www.g2.com/sellers/ritivel)
- **HQ Location:** san francisco , US
- **LinkedIn® Page:** https://www.linkedin.com/company/ritivel-yc-w26 (454 employees on LinkedIn®)






### 3. [Semantic Kernel](https://www.g2.com/products/semantic-kernel/reviews)
Semantic Kernel allows you to seamlessly implement advanced LLM technology into your applications, upgrading your coding capabilities.



**Who Is the Company Behind Semantic Kernel?**

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft (13,091,739 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (231,632 employees on LinkedIn®)
- **Ownership:** MSFT






### 4. [Sermongpt](https://www.g2.com/products/sermongpt/reviews)
SermonGPT is an AI-powered tool designed to assist pastors and religious leaders in crafting sermons quickly and efficiently. By inputting the central theme or "big idea" of a sermon, users can generate a complete sermon in seconds, significantly reducing the time traditionally required for sermon preparation. Key Features and Functionality: - Rapid Sermon Generation: Input a sermon topic to receive a fully developed sermon almost instantly. - User-Friendly Interface: Simplified design allows for easy navigation and use. - Versatile Content Creation: Supports various sermon types, including motivational messages and Sunday services. Primary Value and User Benefits: SermonGPT addresses the challenge of time-consuming sermon preparation by providing a swift and efficient solution. This enables religious leaders to focus more on their congregations and other pastoral duties, enhancing their overall ministry effectiveness.



**Who Is the Company Behind Sermongpt?**

- **Seller:** [SermonGPT](https://www.g2.com/sellers/sermongpt)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 5. [Sheetgpt](https://www.g2.com/products/sheetgpt/reviews)
SheetGPT is a Google Workspace add-on that seamlessly integrates advanced AI capabilities into Google Sheets™, enabling users to perform tasks such as content generation, data analysis, and automation directly within their spreadsheets. By leveraging OpenAI's GPT models, SheetGPT transforms Google Sheets into a powerful tool for enhancing productivity and creativity without the need for coding. Key Features and Functionality: - No API Keys Required: Users can start immediately without the hassle of managing API keys; simply install the add-on and begin working. - User-Friendly Functions: Incorporate AI functionalities effortlessly using simple functions like `=GPT`, `=GPTLIST`, and `=GPTIMAGE` within any cell. - Multi-User Support: Facilitates collaboration on AI-driven projects across all users within an organization. - US-Based Support and Development: Offers reliable support and development from US-based teams. - High Performance: Utilizes top-tier AI provider relationships to ensure fast and efficient performance. - Cost Efficiency: Designed to be the most cost-effective way to utilize generative AI by avoiding redundant queries and implementing long-term caching. Primary Value and Solutions Provided: SheetGPT addresses the challenge of integrating AI into everyday spreadsheet tasks by providing a straightforward, no-code solution. It empowers users to automate repetitive tasks, generate content, and analyze data more efficiently, thereby saving time and reducing manual effort. Whether it's creating content, summarizing large datasets, or prototyping AI features, SheetGPT enhances productivity and fosters innovation within familiar spreadsheet environments.



**Who Is the Company Behind Sheetgpt?**

- **Seller:** [SheetGPT](https://www.g2.com/sellers/sheetgpt)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 6. [Smartlyze](https://www.g2.com/products/smartlyze/reviews)
Smartlyze is an AI-powered data analytics platform that transforms complex business data into actionable insights through natural language interactions. By seamlessly integrating with various data sources, it enables users to ask questions in plain English and receive instant, understandable answers, complete with visualizations. This approach democratizes data access, allowing teams across departments to make informed decisions swiftly and efficiently. Key Features and Functionality: - Natural Language Querying: Users can pose questions about their data in everyday language and obtain immediate, AI-generated responses. - On-Demand Data Visualization: The platform provides real-time graphs and visual insights directly within the chat interface, enhancing data comprehension. - Integrated Data Sources: Smartlyze connects with popular services such as Pipedrive, HubSpot, Google Calendar, and more, consolidating insights into a single platform. - Actionable Data: Users can transition from insights to action effortlessly, such as scheduling appointments and adding them to their calendar with a single click. - Robust Security Measures: The platform employs SHA-256 encryption to protect data, ensuring that user information remains confidential and is not shared with third parties. Primary Value and User Solutions: Smartlyze addresses the challenges of slow decision-making and data silos by providing instant, AI-driven insights accessible to all team members. This immediacy prevents revenue loss due to delayed decisions and enhances collaboration by unifying data across platforms. By eliminating the need for specialized technical skills to interpret data, Smartlyze empowers businesses to stay competitive in a rapidly evolving market, transforming data into a strategic asset that drives growth and innovation.



**Who Is the Company Behind Smartlyze?**

- **Seller:** [Smartlyze](https://www.g2.com/sellers/smartlyze)
- **Year Founded:** 2024
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/smartlyze (1 employees on LinkedIn®)






### 7. [StrataReports](https://www.g2.com/products/stratareports/reviews)
StrataReports is an AI-powered platform designed to simplify the analysis of complex condominium and strata documents, enabling real estate professionals, enterprises, and property buyers to make informed decisions with confidence. By processing documents such as financial statements, meeting minutes, bylaws, engineering reports, and depreciation assessments, StrataReports delivers comprehensive, easy-to-understand reports in under 15 minutes. Key Features and Functionality: - Rapid Report Generation: Utilizes advanced AI algorithms to produce detailed reports swiftly, typically within 15 minutes, facilitating timely decision-making. - Comprehensive Document Analysis: Processes a wide range of condo and strata documents, including financial statements, meeting minutes, bylaws, engineering reports, and depreciation assessments, extracting key information and identifying potential issues. - Customizable Reports: Allows users to tailor reports to focus on specific areas of interest, aligning with unique needs and priorities. - Interactive Chatbot Assistance: Features an AI-powered chatbot that provides personalized assistance, answering questions and offering contextually relevant information about each report. - Data-Backed Insights: Offers concise insights into a building's strengths and weaknesses, enabling users to understand complex financial details and maintenance histories effortlessly. Primary Value and User Solutions: StrataReports addresses the challenge of navigating and interpreting extensive and complex condo and strata documents. By automating the document review process, it saves users significant time and effort, reducing the risk of overlooking critical information. Real estate professionals can provide clients with data-driven advice and up-to-date building-specific data, enhancing service effectiveness. Enterprises benefit from detailed analytics for strategic portfolio decisions, while buyers and owners gain deep insights into property conditions and values, aiding in strategic planning and informed investment choices.



**Who Is the Company Behind StrataReports?**

- **Seller:** [StrataReports](https://www.g2.com/sellers/stratareports)
- **Year Founded:** 2023
- **HQ Location:** Vancouver, CA
- **LinkedIn® Page:** https://www.linkedin.com/company/stratareports (5 employees on LinkedIn®)






### 8. [StratosIQ](https://www.g2.com/products/stratosiq/reviews)
StratosIQ https://stratosiq.ai/ is your ultimate AI assistant for product development, designed to transform how businesses approach market and product research today, with a roadmap to assist in every step of the product lifecycle tomorrow.Whether you’re a product manager, entrepreneur, or developer, StratosIQ empowers you to strategize smarter, innovate faster, and make data-driven decisions confidently. With a simple yet powerful interface, StratosIQ leverages cutting-edge AI technologies like machine learning (ML), natural language processing (NLP), and generative AI alongside custom-trained Large Language Models (LLMs) tailored for specific domains to deliver real-time, accurate insights. As of now, its primary focus is on market and product research, but it will soon extend into feature development, requirements generation, test plans, and detailed product specifications—providing a seamless AI-driven experience from idea to execution.


**Average Rating:** 5.0/5.0
**Total Reviews:** 4
**How Do G2 Users Rate StratosIQ?**

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10)

**Who Is the Company Behind StratosIQ?**

- **Seller:** [StratosIQ](https://www.g2.com/sellers/stratosiq)
- **HQ Location:** San Marcos, US
- **LinkedIn® Page:** https://www.linkedin.com/company/stratosiq (2 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 50% Enterprise, 25% Mid-Market


#### What Are StratosIQ's Pros and Cons?

**Pros:**

- Efficiency (3 reviews)
- Helpful (3 reviews)
- Speed (3 reviews)
- Accuracy (2 reviews)
- Ease of Use (2 reviews)

**Cons:**

- Update Issues (1 reviews)


### What Do G2 Reviewers Say About StratosIQ?
*AI-generated summary from verified user reviews*

**Pros:**

- Users appreciate the **efficiency** of StratosIQ, significantly reducing project initiation time with valuable insights and resources.
- Users appreciate the **time-saving capabilities** of StratosIQ, enabling faster project initiation with valuable industry insights.
- Users praise StratosIQ for its **speedy information gathering** , enabling quicker project proposals and efficient data processing.
- Users appreciate the **accuracy** of StratosIQ, which streamlines research and enhances project efficiency significantly.
- Users commend the **ease of use** of StratosIQ, appreciating its user-friendly interface and efficient data processing.

**Cons:**

- Users find the **frequent updates** of StratosIQ can lead to inconsistent experiences with each new version.

#### What Are Recent G2 Reviews of StratosIQ?

**"[I used StratosIQ to do basic research and found the results to be fast and accurate](https://www.g2.com/survey_responses/stratosiq-review-10813131)"**

**Rating:** 5.0/5.0 stars
*— Denny J.*

[Read full review](https://www.g2.com/survey_responses/stratosiq-review-10813131)

---

**"[Accept nothing less than StratosIQ](https://www.g2.com/survey_responses/stratosiq-review-10896160)"**

**Rating:** 5.0/5.0 stars
*— David R.*

[Read full review](https://www.g2.com/survey_responses/stratosiq-review-10896160)

---



### 9. [TalePod](https://www.g2.com/products/talepod/reviews)
TalePod is an innovative platform that leverages artificial intelligence to create personalized bedtime stories in seconds. Designed to captivate young minds, it offers a unique storytelling experience tailored to individual preferences. Key Features: - AI-Generated Stories: Crafts unique narratives instantly using advanced AI algorithms. - Personalization: Tailors stories based on user inputs to create engaging and relevant content. - User-Friendly Interface: Simplifies the story creation process, making it accessible for all users. Primary Value: TalePod addresses the challenge of creating engaging bedtime stories by providing a quick and personalized solution. It saves time for parents and caregivers while fostering a love for reading and imagination in children.



**Who Is the Company Behind TalePod?**

- **Seller:** [TalePod](https://www.g2.com/sellers/talepod)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 10. [Topicsimplify](https://www.g2.com/products/topicsimplify/reviews)
TopicSimplify is an AI-driven platform designed to transform complex subjects into clear, structured knowledge, enabling users to master new concepts more efficiently. By leveraging advanced artificial intelligence, it breaks down intricate topics into digestible outlines, making learning more accessible and engaging. Key Features and Functionality: - AI-Powered Outlines: Instantly generate comprehensive study outlines with smart topic organization and highlighted key concepts. - Interactive Learning: Engage with content through dynamic Q&A sessions, receive immediate clarifications, and seamlessly explore related concepts. - Smart Summaries: Convert complex topics into concise, easy-to-understand summaries that capture essential information. Primary Value and User Solutions: TopicSimplify empowers learners by simplifying the process of understanding intricate subjects. It saves users significant research time by providing structured outlines and interactive tools, effectively acting as a personal tutor available 24/7. This approach enhances comprehension, retention, and motivation, making it ideal for students, professionals, and lifelong learners seeking efficient and effective learning solutions.



**Who Is the Company Behind Topicsimplify?**

- **Seller:** [TopicSimplify](https://www.g2.com/sellers/topicsimplify)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 11. [Vizgpt](https://www.g2.com/products/vizgpt/reviews)
VizGPT is an AI-powered data visualization and analytics platform that enables users to create interactive dashboards and visualizations through natural language processing and intuitive drag-and-drop tools. By simply asking questions in plain English, users can generate complex charts and insights without the need for coding, making data analysis more accessible and efficient. Key Features and Functionality: - Natural Language Processing: Engage with your data conversationally; VizGPT understands your questions and delivers accurate visualizations and analyses. - Real-Time Responses: Receive instant charts and insights, allowing for seamless and uninterrupted data exploration. - Contextual Memory: The AI retains the context of your queries, ensuring a cohesive and continuous analytical experience. - No-Code GUI for Data Visualization: Utilize both drag-and-drop interfaces and natural language inputs to create data visualizations effortlessly. - Data Transformation and Profiling: Access powerful data tables that facilitate easy transformation, profiling, and preparation of data for visualization. - Collaborative Analytics: Share insights with your team by inviting members to comment on charts, build dashboards together, and turn data into actionable narratives. Primary Value and User Solutions: VizGPT democratizes data analysis by eliminating the need for coding skills, allowing users to interact with their data through natural language. This approach accelerates the data visualization process, enabling faster decision-making and deeper insights. By combining AI-driven analytics with user-friendly interfaces, VizGPT empowers business leaders, researchers, students, and analysts to transform complex data into clear, compelling narratives that drive action and understanding.



**Who Is the Company Behind Vizgpt?**

- **Seller:** [vizGPT](https://www.g2.com/sellers/vizgpt)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 12. [Weave](https://www.g2.com/products/weave-2026-01-28/reviews)
Weave Bio is an AI-native platform transforming regulatory workflows and accelerating how novel therapies reach patients faster.



**Who Is the Company Behind Weave?**

- **Seller:** [Weave](https://www.g2.com/sellers/weave-7cc6f97c-c016-4869-9299-f5cb8fc06b87)
- **Year Founded:** 2023
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/weavebio (20 employees on LinkedIn®)






### 13. [Wereport](https://www.g2.com/products/wereport/reviews)
We Report Work is an AI-powered software designed to simplify and automate the process of creating daily and weekly work summaries. By integrating seamlessly with essential work tools such as Gmail, Google Drive, Google Calendar, Outlook Email, Teams, Slack, GitHub, and JIRA, it gathers data from various platforms to generate concise reports in seconds. This eliminates the need for manual reporting, allowing professionals to focus more on their core tasks. Key Features and Functionality: - Automated Summarization: Generates daily and weekly work summaries by aggregating data from connected tools. - Seamless Integrations: Supports integration with multiple platforms, including Gmail, Google Drive, Google Calendar, Outlook Email, Teams, Slack, GitHub, and JIRA. - User-Friendly Interface: Offers a straightforward login process using Google accounts and provides customizable templates for summaries. - Data Privacy and Security: Ensures that user data is fetched via secure APIs and is not stored without explicit consent. For enterprise clients, self-hosting options are available to enhance data security. - Flexible Pricing Plans: Offers a free tier with core features and paid plans that include additional functionalities such as editable templates, auto-sharing, and custom branding. Primary Value and User Solutions: We Report Work addresses the common challenges associated with manual work reporting, such as time consumption, inconsistency, and lack of visibility. By automating the summarization process, it ensures timely and accurate reports, enhancing transparency and accountability within teams. Managers receive regular updates without the need to chase team members, and employees can showcase their achievements effortlessly. This proactive approach helps in preventing potential issues, improving client satisfaction, and fostering a culture of recognition and growth within organizations.



**Who Is the Company Behind Wereport?**

- **Seller:** [We Report Work](https://www.g2.com/sellers/we-report-work)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 14. [Xdash](https://www.g2.com/products/xdash/reviews)
Xdash is an advanced AI-powered platform designed to streamline data analysis and visualization, enabling users to transform complex datasets into actionable insights. By integrating cutting-edge machine learning algorithms, Xdash simplifies the process of data interpretation, making it accessible to both technical and non-technical users. Key Features and Functionality: - Intuitive Dashboard: Offers a user-friendly interface for seamless navigation and data interaction. - Customizable Visualizations: Provides a variety of chart types and visualization tools to represent data effectively. - Real-Time Data Processing: Ensures up-to-date insights by processing data in real-time. - Collaborative Tools: Facilitates team collaboration through shared dashboards and reports. - Integration Capabilities: Supports integration with various data sources and third-party applications. Primary Value and User Solutions: Xdash addresses the challenge of complex data analysis by offering an accessible platform that democratizes data insights. It empowers organizations to make informed decisions quickly, enhances productivity by reducing the time spent on data processing, and fosters a data-driven culture within teams.



**Who Is the Company Behind Xdash?**

- **Seller:** [Xdash](https://www.g2.com/sellers/xdash)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)







## What Is Natural Language Generation (NLG) Software?

[Natural Language Processing (NLP) Software](https://www.g2.com/categories/natural-language-processing-nlp)



---

## How Do You Choose the Right Natural Language Generation (NLG) Software?

### What You Should Know About Natural Language Generation (NLG) Software

### What is NLG software?

Natural language generation software uses artificial intelligence technology to generate natural written or spoken language text that people can understand. It analyzes [structured and unstructured data](https://www.g2.com/articles/structured-vs-unstructured-data#structured) sets to transform that information into natural-sounding human language. 

For instance, NLG software can turn financial data into an earnings report or sports data into a match summary. It can also interpret user intent by analyzing customer input and generating personalized responses, eliminating the need for manual intervention. This functionality enables voice assistants and [chatbots](https://www.g2.com/glossary/chatbot-definition) to respond with a human touch. 

### What are the common features of natural language generation software?

NLG software solutions have robust features and components for converting data into contextual content. 

- **Text generation:** The primary function of NLG software is to produce natural language text from structured data and other knowledge sources. The generated text comes in many forms, like reports, summaries, emails, and presentations.
- **Contextual understanding:** NLG software tools can understand the user intent behind a command or query and provide a contextual response in a human-like language. This ability improves system and user communication by providing personalized answers.
- **Enhancing data visualization.** When integrated with visualization tools, natural language generation software can create reports, including textual summaries and visual representations. It writes descriptive narratives to accompany visuals, like charts and graphs, making complex data accessible to a broader audience.
- **Automated document creation.** With NLG technology, users can create documents without any manual effort. The software takes input in the form of structured data and creates a draft based on the user’s chosen template.
- **Language variation:** This feature allows NLG software to generate text in different styles and languages, which is especially useful for businesses communicating with different groups.

### Types of NLG software 

NLG software is broadly classified into two types: standalone solutions and built-in tools. Both serve different purposes. 

- **Standalone NLG:** Standalone solutions operate independently; they come with their own user interfaces instead of being tied to a specific platform. More flexible than their counterparts, they can be used for various content generation needs like creating reports, writing articles, and composing product descriptions.
- **Built-in NLG:** These are integrated into larger software platforms like analytics or business intelligence. They provide context-specific text generation within the environment of the existing application, enhancing its overall functionality.

### Key benefits of natural language generation software

NLG software improves data handling and communication for organizations, both internally and externally. More of its advantages are described here.

- **Easy-to-digest data:** NLG software translates complex data into natural language, making it easy for individuals without specialized [data analysis](https://www.g2.com/articles/data-analysis-process) skills to understand. As such, users grasp data insights more easily.  
- **Plain language interface:** NLG tools generate content in human-like language, which is simple, natural, and free from specialized terminology. This helps businesses reach a wider audience.
- **Content creation assistance:** NLG automates writing tasks by processing structured data and producing contextually relevant content. It’s a powerful tool for scaling up the content creation workflow, and it also helps generate reports, product descriptions, summaries, emails, and other content forms.
- **Less manual effort:** Since NLG automates the content creation process, it reduces the need for human intervention. It frees up human resources and allows your team to focus on more strategic and creative tasks without hampering the volume of consistent content flow.

### Natural language generation vs. natural language processing  vs. natural language understanding 

NLP, NLG, and NLU are all closely related concepts under the umbrella of AI. They work together to produce effective communication between machines and humans. However, each differs slightly in functionality, i.e., how computers handle human language.

**NLG** is all about generating natural language text from complex data sets, whereas [NLU](https://www.g2.com/categories/natural-language-understanding-nlu) focuses specifically on understanding natural language. For instance, NLU is used in voice assistants like Siri or Google Assistant to respond to commands and queries by understanding user intent.

[NLP](https://www.g2.com/articles/natural-language-processing) is the broader field encompassing both generation and understanding of natural language. It facilitates communication between the user and the system by enabling the tech to understand, interpret, and respond to human language. Common use cases of NLP include speech recognition and machine translation. 

### Who uses natural language generation software?

Anyone looking to transform structured data into intelligible textual content can use NLG software. It's especially valuable for industries that require consistent data-driven content creation or personalized communications with their stakeholders.

- **Analysts:** Business, financial, and data analysts use NLG software to generate reports and summaries. NLG makes data more accessible and understandable, so it’s easy to discover trends and communicate numbers with all stakeholders. 
- **Content creators:** NLG systems are useful for churning out large volumes of high-quality content, which makes it an essential tool for today’s creators. They can use NLG’s automation tactics for writing social media copy, blog posts, and product descriptions while maintaining a consistent brand message.
- **Department heads:** NLG software enables department heads to improve efficiency and communication within their teams and beyond. They use it for tracking and sharing metrics and facilitating data-driven decisions across the organization.

### NLG software pricing

The price for natural language generation software depends greatly on the project scope, features, and vendor. Factors like customization, training and implementation, maintenance, and storage also affect the overall cost of the product.

Depending on the needs and financial preferences of the user, there are mainly two kinds of pricing models for NLG software. 

- **Add-on:** Some platforms offer core services and allow customers to upgrade by purchasing NLG features as add-ons. This model is structured on a monthly fee plus the base subscription cost. It enables a customized user experience that only includes features as needed.
- **Included:** In other cases, some platforms incorporate NLG as a part of their standard offerings and charge no additional fee. Under this pricing model, the base cost is high, but NLG features are a part of the subscription fee. It also simplifies billing and can work for extensive users. 

If you don’t need NLG that often, then purchasing it as an add-on is more cost-effective and flexible. It’s usually billed on a monthly fee subscription model. On the other hand, if NLG is essential for daily operations, a standard subscription included with the platform will be more beneficial.

#### ROI for NLG software

You can assess your return on investment for NLG software through factors that contribute to the overall value and benefits derived from its implementation. 

- **Ease of use:** Since NLG software is easy to use, more people can apply it without needing training.
- **Time saved:** The automation of content creation saves significant time and cost because fewer human resources are required to generate data-driven reports and other documents.
- **Scalability:** With NLG software, organizations scale up their content production without requiring additional resources. This results in higher production output, but costs remain the same.
- **Productivity:** Without the need to constantly write and create, employees can focus on tasks that drive value and lead to profitable business outcomes.

### Challenges with natural language generation tools

Despite the many benefits and applications of NLG software, it presents some challenges.

- **Adoption:** Integrating NLG software with existing systems requires significant time and resources. Employees may also resist learning new technologies. 
- **Consistency of output:** Businesses need consistency in their content for branding purposes. However, NLG software sometimes struggles with maintaining a consistent voice and writing style, especially on eclectic topics for diverse audiences. In addition, factors like language complexity and scalability also create inconsistencies.
- **Quality control:** NLG software needs high-quality data to produce accurate outputs. If the data is not up to standards or unavailable altogether, creating content becomes arduous. For instance, [AI biases](https://www.g2.com/glossary/algorithmic-bias-definition) can appear due to prejudices in the training data, which affects the accuracy and quality of generated text.

### What are the alternatives to NLG software?

These alternatives to NLG software can replace it, at least partially, if not fully.

- [**Analytics platforms**](https://www.g2.com/categories/analytics-platforms) collect, analyze, and visualize data from different resources. They provide features like data visualization, reporting, and statistical analysis to uncover patterns, trends, and insights. Many analytics platforms also offer a basic level of narrative explanation alongside data visualizations for accessible communication.
- [**AI chatbots**](https://www.g2.com/categories/ai-chatbots) are automated messaging systems that conduct interactive human conversations. They interpret user inputs, process requests, and respond in natural language. AI, machine learning, and NLP technology are all used to understand questions and generate relevant replies.

### Which companies should buy natural language generation software?

NLG software is especially useful for companies that manage large volumes of data and need coherent narrative insights from it. 

- **E-commerce and retail organizations:** These companies can use NLG solutions to generate large volumes of content, like product descriptions, reviews, and sales reports. These tools can also process customer data to provide tailored shopping experiences and write content for different consumer groups.
- **Financial institutions:** NLG software helps banks and financial institutes by creating automated financial reports and investment summaries. It also makes it easier to communicate financial insights to clients and stakeholders across the board.
- **Healthcare:** By using NLG software, healthcare providers can interpret complex medical and clinical data and generate reports, patient summaries, and other content based on electronic health records.
- **Marketing and advertising agencies:** NLG software produces data-driven and creative ad copies, email campaigns, and social media content. Its performance reports help you tap into data insights.

### How to choose natural language generation software

Choosing the right natural language software requires the following steps.

#### Identify business needs and priorities

Stakeholders must start by evaluating the areas within their organization where NLG can add value, whether it's automating report generation, enhancing content creation, or improving customer interaction. Understanding business goals and testing the technical proficiency of the staff is crucial.

#### Choose the necessary technology and features

The next step is finding solutions that carry the technology and features aligned with your needs. NLG software with comprehensive language models produces coherent and accurate text. Customization and flexibility are essential to achieve the desired tone and style of content. Data integration helps connect existing databases and resources. Businesses with regional and worldwide operations appreciate the multilingual service.

#### Review vendor vision, roadmap, viability, and support

Once features are identified, stakeholders must explore and narrow their vendor choices. Examining product roadmap, vendor's business mission, viability, and customer support are good starting points. Market stability and user reviews are also essential factors for long-term planning. 

#### Evaluate the deployment and pricing model

When considering software deployment, businesses have to weigh the benefits of cloud-based versus on-site solutions versus a hybrid model. Evaluate factors like flexibility, control, compliance, and security, along with the licensing fees and subscription costs. The pricing model should be transparent and scalable.

#### Put it all together

Finally, stakeholders must take all considerations and create an actionable plan. This step involves identifying potential risks, taking feedback from end users, and conducting a final evaluation to choose the best solution that aligns with business objectives, priorities, and budget.

### Natural language generation software trends

- **The rise of NLP and conversational AI:** NLP advancements have improved contextual understanding, interpretation, and generation of human language, allowing NLG software to generate more relevant and coherent text. This is particularly vital in conversational AI used in chatbots and [virtual assistants](https://www.g2.com/categories/intelligent-virtual-assistants) for understanding user intent and maintaining context.
- **User-friendly conversational interface:** The success of platforms like ChatGPT highlights the importance of user-friendly chat platforms. It increased the adoption and integration of NLG technology into diverse applications. The interface allows users to communicate with the system using natural language, even if unfamiliar with complex commands and interfaces. 

### Software and services related to NLG Software

Related solutions that can be used together with NLG software include those discussed here.

- [**AI writing assistants**](https://www.g2.com/categories/ai-writing-assistant) **:** These tools offer many features to help users with content generation and optimization, like grammar and spelling checks, style suggestions, and tone analysis. With the help of AI writing assistants, NLG-generated text can be refined and improved for quality, ensuring it meets defined standards. 
- [**Chatbots**](https://www.g2.com/categories/chatbots) **:** Chatbots operate on a set of predetermined rules and conduct more guided human conversations as compared to AI chatbots. With NLG technology, chatbots can generate contextually appropriate and personalized responses to give users a natural and less restrained conversational experience.

_Researched and written by_ [_Matthew Miller_](https://research.g2.com/insights/author/matthew-miller)

_Reviewed and edited by_ [_Aisha West_](https://www.linkedin.com/in/westeawest/)