The 24 Best Natural Language Generation Software Of 2026
10 Best Natural Language Generation Software Shortlist
Here's my pick of the 10 best software from the 24 tools reviewed.
After deep evaluation, I've curated the top 12 natural language generation tools to address the very challenge you're facing.
In the age of chatbots and virtual assistants, natural language generation (NLG) software stands out as a game-changer. By tapping into data science and big data, these tools simulate human language, transforming text data into coherent narratives. I've seen firsthand how NLG technology aids in summarization for social media, question answering in self-service portals, and text classification in healthcare.
Providers have integrated NLG and NLU frameworks into their platforms, unlocking powerful benefits. In essence, NLG software translates data into human-like stories, offering businesses a tool that enhances every customer interaction, making technology feel more intuitive and human-centered.
Why Trust Our Software Reviews
Best Natural Language Generation Software Summary
This comparison chart summarizes pricing details for my top natural language generation software selections to help you find the best one for your budget and business needs.
| Tool | Best For | Trial Info | Price | ||
|---|---|---|---|---|---|
| 1 | Best for AI-driven sales conversations | Free Demo | Customized price upon request | Website | |
| 2 | Best for quick article creation | 5-day free trial | From $27/user/month (billed annually) | Website | |
| 3 | Best for research-backed natural language models | Not available | Customized price upon request | Website | |
| 4 | Best for marketing copy optimization | 7-day free trial | From $49/month (billed annually) | Website | |
| 5 | Best for customizable content generation | Not available | Customized price upon request | Website | |
| 6 | Best for educational writing assistance | Not available | From $8/user/month (billed annually) | Website | |
| 7 | Best for real-time data narration | Not available | Customized price upon request | Website | |
| 8 | Best for e-commerce product descriptions | Not available | Customized price upon request. | Website | |
| 9 | Best for pharmaceutical and finance reporting | Not available | Customized price upon request | Website | |
| 10 | Best for deep linguistic analysis | Not available | Customized price upon request | Website |
-
Docker
Visit WebsiteThis is an aggregated rating for this tool including ratings from Crozdesk users and ratings from other sites.4.6 -
Pulumi
Visit WebsiteThis is an aggregated rating for this tool including ratings from Crozdesk users and ratings from other sites.4.8 -
GitHub Actions
Visit Website
Best Natural Language Generation Software Reviews
Below are my detailed summaries of the best natural language generation software that made it onto my shortlist. My reviews offer a detailed look at the key features, pros & cons, integrations, and ideal use cases of each tool to help you find the best one for you.
Conversica emerges as a significant player in the NLG market, primarily focusing on streamlining sales interactions using AI. This software doesn't just churn out text; it crafts dialogues designed to convert, directly addressing the "Best for AI-driven sales conversations" claim.
Why I Picked Conversica:
Navigating through the vast NLG landscape, Conversica stood out for me based on its specialization in sales conversations. In judging and comparing its capabilities, it's evident that the software has been crafted with sales dynamics in mind.
My choice to label it "Best for AI-driven sales conversations" comes from its unique capacity to simulate human-like sales dialogues, making it a game-changer for businesses aiming to maximize conversions.
Standout Features and Integrations:
Conversica boasts features such as lead engagement automation, real-time conversation analytics, and role-based dashboards tailored for sales teams. On the integration front, it melds with major CRM platforms like Salesforce and Microsoft Dynamics, while also accommodating various marketing automation tools, enhancing its utility in sales ecosystems.
Pros and cons
Pros:
- Integrates with leading CRM and marketing tools
- Provides insightful conversation analytics for sales strategies
- Specializes in automating sales conversations with realism
Cons:
- Initial customization may require significant effort
- Could be overwhelming for small businesses
- Might not be suitable for non-sales-focused users
Article Forge harnesses AI algorithms to generate written content based on a given topic in mere minutes. Its ability to deliver coherent and topical articles promptly makes it a valuable tool, especially for those in need of swift content solutions.
Why I Picked Article Forge:
In the process of judging and selecting tools for content generation, Article Forge emerged as a preferred choice due to its rapid creation capabilities. Through my comparisons, I noticed that its speed didn't compromise the quality, offering articles ready for immediate use.
It's this efficiency that led me to conclude that Article Forge is best suited for quick article creation.
Standout Features and Integrations:
Article Forge is notable for its deep learning models that ensure articles are not just quick but relevant and readable. The tool also allows users to schedule content, automating the generation process at desired intervals.
In terms of integrations, Article Forge meshes well with WordPress, enabling direct publishing without manual intervention.
Pros and cons
Pros:
- Direct integration with WordPress for easy publishing.
- The scheduling feature automates consistent content creation.
- Deep learning models provide relevant content.
Cons:
- Annual billing may not be preferred by all users.
- Limited stylistic customization for articles.
- May occasionally require post-generation editing.
OpenAI is a leading organization in the realm of artificial intelligence, renowned for its advanced natural language processing models. It specializes in creating tools and models that understand and generate human-like text, offering a solution backed by extensive research.
Why I Picked OpenAI:
When determining which tool to highlight, OpenAI immediately stood out to me. The reasons for my selection are manifold: the organization's commitment to cutting-edge research, its unique standing in the AI community, and its impactful contributions to the field. The emphasis on research-driven developments is what particularly cements its place as the best choice for natural language models.
Standout Features and Integrations:
OpenAI’s GPT (Generative Pre-trained Transformer) series, particularly the GPT-3 and GPT-4 models, represent some of the most sophisticated language models available. They're capable of a range of tasks, from simple sentence completion to generating coherent, lengthy passages of text. Integration-wise, OpenAI offers a robust API, allowing developers to incorporate its models into diverse applications and platforms.
Pros and cons
Pros:
- Comprehensive API for easy integration.
- Versatile language models are capable of varied tasks.
- Powered by state-of-the-art research.
Cons:
- Dependency on an internet connection for real-time responses using API.
- Heavy computational resources are required for advanced tasks.
- Pricing details can be opaque for newcomers.
Anyword is a specialized platform that leverages advanced AI to refine and enhance marketing content. Tailored for businesses that are keen on optimizing their promotional narratives, it stands out as an instrumental tool in the realm of marketing copy enhancement.
Why I Picked Anyword:
In selecting tools, Anyword emerged distinctly for its AI-driven approach to copy optimization. Through judicious comparison and my own opinion formed by its performance, this tool established itself as superior for crafting impactful marketing content. I believe that for those in the trenches of marketing, looking for that extra edge, Anyword is undoubtedly the best choice for optimizing copy.
Standout Features and Integrations:
Anyword boasts a dynamic AI engine that evaluates and provides suggestions to uplift the effectiveness of your marketing content. Its predictive performance scores are especially helpful in gauging how a particular piece of copy might resonate with an audience. On the integration front, Anyword aligns well with popular CMS platforms, CRM tools, and even ad platforms, facilitating streamlined content workflows.
Pros and cons
Pros:
- Compatible with a wide range of marketing tools and platforms.
- Predictive scores offer tangible insight into content effectiveness.
- AI-driven copy optimization for enhanced content performance.
Cons:
- Requires some degree of familiarity with marketing principles to harness its full potential.
- AI recommendations might not always align with brand voice or nuance.
- Annual billing may not be appealing to some users.
Automated Insights Wordsmith harnesses AI to craft tailored content based on specific user inputs and preferences. Its adaptability ensures each piece resonates with the intended audience, establishing it as a leader in customizable content creation.
Why I Picked Automated Insights, Wordsmith:
Upon evaluating a myriad of content generation tools, Wordsmith's unparalleled flexibility in content customization caught my attention. I determined its unique ability to cater content to individual user preferences set it apart from competitors. Given this distinction, it's clear why it stands as the best for customizable content generation.
Standout Features and Integrations:
Wordsmith is renowned for its advanced templating system, allowing users to define the structure and style of their content. Additionally, its natural language generation capabilities ensure content remains coherent and engaging. Integration-wise, Wordsmith can be linked with popular data analytics platforms, ensuring content remains data-driven and relevant.
Pros and cons
Pros:
- Integrates with leading data analytics platforms
- Robust natural language generation capabilities
- Advanced templating provides ultimate customization
Cons:
- Pricing transparency could be improved
- Might be overkill for simpler content requirements
- Requires a learning curve to maximize templating benefits
Quill is a digital tool designed to enhance student's writing skills through interactive exercises and immediate feedback. Catered primarily to the educational sector, its platform provides targeted assistance to help learners improve their writing, making it a top choice for educational writing aid.
Why I Picked Quill:
During the process of selection, Quill captured my attention for its distinct focus on education. This determination was founded on its dedication to fostering writing proficiency in students, its extensive repository of tailored exercises, and the opinions of educators who frequently champion its merits.
Given its well-curated features and dedicated educational stance, I firmly believe it's unmatched for educational writing assistance.
Standout Features and Integrations:
Quill offers a plethora of interactive writing and grammar activities tailored to various educational standards. Its adaptive learning technology ensures that exercises are in line with a student's skill level, progressively challenging them to reach new heights.
As for integrations, Quill fits into many educational platforms, making it easy for teachers to incorporate them into their existing curriculum.
Pros and cons
Pros:
- Smooth integration with popular educational platforms.
- Adaptive learning technology for personalized feedback.
- A comprehensive library of writing and grammar exercises.
Cons:
- Limited utility outside the educational context.
- Might require a learning curve for educators new to digital tools.
- Annual billing might deter individual users.
Arria NLG harnesses the power of AI to transform raw data into articulate, real-time narratives. Serving as a bridge between numbers and comprehension, this tool provides insightful interpretations precisely when you need them.
Why I Picked Arria NLG:
In my search for tools that can elevate data presentation, Arria NLG distinguished itself through its immediate response mechanism. After judging various platforms, I concluded that its approach to rapidly converting data insights into understandable narratives was unparalleled. This unique capability positions it as the optimal choice for those in need of real-time data narration.
Standout Features and Integrations:
Arria NLG shines with its ability to deliver immediate, articulate narratives derived from intricate data sets. It also offers a dynamic dashboard that can adjust stories as data changes. Integration-wise, Arria NLG aligns well with major business intelligence tools, ensuring data sources are easily funneled into narratives.
Pros and cons
Pros:
- Compatible with leading business intelligence tools
- Dynamic dashboard adapts to data changes
- Immediate data-to-narrative conversion
Cons:
- Comprehensive features may necessitate training
- Real-time narration may not suit all business models
- Can be overwhelming for users new to data interpretation
AX Semantics specializes in transforming data into readable content, with a strong emphasis on producing descriptions for e-commerce products. Its ability to generate detailed, accurate, and engaging product descriptions can assist e-commerce businesses in presenting their offerings more compellingly, which is essential for driving sales and customer engagement.
Why I Picked AX Semantics:
Among the plethora of tools I explored, AX Semantics captured my attention because of its specific proficiency in crafting e-commerce content. The process of choosing it was based on its track record of delivering quality and consistency. Its specialization in e-commerce narratives made me determine that it's particularly apt for product descriptions, a crucial facet of online retail.
Standout Features & Integrations:
AX Semantics boasts features that allow for high-volume content production without compromising on quality. The software's automation capabilities ensure that e-commerce platforms can have a steady stream of product descriptions. Additionally, AX Semantics offers integrations with major e-commerce platforms and content management systems, ensuring a fluid workflow for online retailers.
Pros and cons
Pros:
- Integrates with leading e-commerce platforms.
- Automation capabilities for consistent output.
- Tailored for high-volume e-commerce content generation.
Cons:
- Limited to e-commerce content, making it less versatile for other content types.
- Might require initial training for best results.
- Absence of a clear pricing structure on the website.
In the complex sectors of pharmaceuticals and finance, accurate and detailed reporting is paramount. Yseop is engineered to meet these demands, using AI-driven narratives to compile intricate reports with precision. This specificity, tied with the challenges of pharmaceutical and finance domains, makes it an exemplary fit for those sectors.
Why I Picked Yseop:
During my selection process, Yseop emerged as a distinct contender due to its focused approach toward two critical sectors. Its emphasis on generating accurate and detailed narratives based on vast datasets set it apart.
I determined that for those who grapple with the nuances of pharmaceutical and finance reporting, Yseop offers a specialized tool tailor-made for these challenges.
Standout Features and Integrations:
Yseop is renowned for its automated narrative generation, which turns complex data into coherent reports. It also possesses a robust reasoning engine that can draw actionable insights from datasets.
When it comes to integrations, Yseop melds well with major data analytics platforms, ensuring a smooth workflow for users in the pharmaceutical and finance sectors.
Pros and cons
Pros:
- Integrates with popular data analytics platforms
- Strong automated narrative generation
- Tailored for pharmaceutical and finance sectors
Cons:
- Initial setup might require technical assistance
- Might be too specialized for general reporting
- The learning curve for those unfamiliar with the sectors
In the realm of natural language processing, TextRazor occupies a niche that delves deeply into linguistic intricacies. Designed to grasp and analyze language at its most profound layers, this software embodies the essence of deep linguistic comprehension, making it the right choice for those keen on "deep linguistic analysis".
Why I Picked TextRazor:
In the process of selecting contenders, TextRazor's prowess in dissecting and understanding language nuances jumped out. I judged its capabilities against the competition and found its emphasis on granular linguistic details unmatched.
My decision to label it "Best for deep linguistic analysis" was borne out of its exceptional ability to dissect and comprehend intricate linguistic elements.
Standout Features and Integrations:
TextRazor boasts a unique entity recognition feature that can pinpoint and categorize entities within texts with high precision. Additionally, its linguistic analysis extends to determining the sentiment, topic, and relation within textual content.
In terms of integrations, it smoothly pairs with leading content management systems, text analytics platforms, and database solutions.
Pros and cons
Pros:
- Supports a broad array of languages
- Advanced entity recognition capability
- Comprehensive linguistic analysis tools
Cons:
- Initial setup can be time-consuming for non-tech users
- Requires some technical knowledge for advanced tasks
- Might be overwhelming for basic use cases
Other Natural Language Generation Software
Below is a list of additional natural language generation software that I shortlisted, but did not make it to the top 10. They are definitely worth checking out.
- Phrazor by vPhrase
For data-driven storytelling
- elvex
For enterprise-first approach
- Retresco
For enterprise content automation
- DataRobot
Good for enterprise AI and machine learning
- Narrativa
Good for automating news and report generation
- Persado
Good for AI-driven content personalization
- Contentyze
Good for bulk content generation with AI
- Textio
Good for improving hiring content language
- Zoho Writer
Good for collaborative document creation
- IBM Watson Natural Language Understanding
Good for advanced text analysis capabilities
- Wriq
Good for tracking writing progress in education
- Hugging Face Transformers
Good for open-source natural language processing models
- Phrasee
Good for optimizing email marketing language
- BeyondWords
Good for sentiment analysis and emotion detection
Natural Language Generation Software Selection Criteria
When selecting the best natural language generation software to include in this list, I considered common buyer needs and pain points like content accuracy and ease of integration. I also used the following framework to keep my evaluation structured and fair:
Core Functionality (25% of total score)
To be considered for inclusion in this list, each solution had to fulfill these common use cases:
- Generate text-based content
- Provide language translation
- Perform sentiment analysis
- Automate report writing
- Enhance customer interaction
Additional Standout Features (25% of total score)
To help further narrow down the competition, I also looked for unique features, such as:
- Customizable templates
- Multilingual capabilities
- Real-time data integration
- Advanced analytics
- AI-driven personalization
Usability (10% of total score)
To get a sense of the usability of each system, I considered the following:
- Intuitive interface design
- Easy navigation
- Minimal learning curve
- Responsive design
- Customization options
Onboarding (10% of total score)
To evaluate the onboarding experience for each platform, I considered the following:
- Availability of training videos
- Interactive product tours
- Access to templates
- Live webinars
- Chatbot assistance
Customer Support (10% of total score)
To assess each software provider’s customer support services, I considered the following:
- 24/7 availability
- Multiple support channels
- Knowledge base access
- Response time
- Personalized assistance
Value For Money (10% of total score)
To evaluate the value for money of each platform, I considered the following:
- Pricing transparency
- Competitive pricing
- Flexible plans
- Cost versus features
- Discount options
Customer Reviews (10% of total score)
To get a sense of overall customer satisfaction, I considered the following when reading customer reviews:
- Overall satisfaction rating
- Commonly mentioned pros and cons
- Frequency of updates
- Support experience feedback
- Ease of use comments
How to Choose Natural Language Generation Software
It’s easy to get bogged down in long feature lists and complex pricing structures. To help you stay focused as you work through your unique software selection process, here’s a checklist of factors to keep in mind:
| Factor | What to Consider |
|---|---|
| Scalability | Can the software grow with your business? Consider user limits, data processing capabilities, and how well it adapts to increased workloads without sacrificing performance. |
| Integrations | Does it work with your current tools? Check for compatibility with CRM systems, analytics platforms, and other essential applications to ensure seamless workflow integration. |
| Customizability | How flexible is the software? Look for options to tailor the interface, reports, and outputs to your specific needs and industry requirements. |
| Ease of use | Is the software user-friendly? Evaluate the learning curve, interface design, and availability of support materials for new users. |
| Implementation and onboarding | How smooth is the setup process? Assess the time and resources needed for initial deployment and training, including access to tutorials and support. |
| Cost | Does it fit your budget? Compare pricing plans, hidden fees, and value for money. Consider long-term costs and potential ROI. |
| Security safeguards | How secure is your data? Ensure the software complies with data protection laws and offers encryption, access controls, and regular security updates. |
What Is Natural Language Generation Software?
Natural language generation (NLG) software is a subset of artificial intelligence that automates the creation of text based on structured data. Primarily used by content creators, data analysts, and businesses, it aims to produce coherent narratives, reports, or descriptions, streamlining content generation processes, ensuring consistency, and transforming data into comprehensible narratives tailored to diverse audiences.
Features
When selecting natural language generation software, keep an eye out for the following key features:
- Automated text creation: Generates text automatically from data inputs, saving time and effort for users.
- Multilingual capabilities: Supports multiple languages, allowing you to reach a global audience with your content.
- Data-driven insights: Analyzes data to produce accurate and relevant content, aiding in informed decision-making.
- Customizable templates: Offers templates that you can tailor to meet specific industry or business needs.
- Predictive performance scoring: Evaluates the potential success of your content before publishing, optimizing outcomes.
- Real-time data integration: Integrates with real-time data sources to ensure content is up-to-date and relevant. This feature is especially important when selecting conversational intelligence software.
- Adaptive learning: Adjusts content generation based on user feedback, improving accuracy over time.
- Content personalization: Tailors content to match brand voice and audience preferences, enhancing engagement.
- Security safeguards: Protects your data with encryption and access controls, ensuring compliance with regulations.
Benefits
Implementing natural language generation or NLP software provides several benefits for your team and your business. Here are a few you can look forward to:
- Time savings: Automates text creation, freeing up your team to focus on more strategic tasks.
- Global reach: Multilingual capabilities allow you to communicate effectively with international audiences.
- Improved accuracy: Data-driven insights ensure the content produced is relevant and precise.
- Enhanced engagement: Personalization features tailor content to your audience, boosting interaction and interest.
- Scalability: Easily adapts to increased content demands as your business grows.
- Consistency: Customizable templates provide uniformity in content, maintaining brand voice across all materials.
Costs & Pricing
Selecting natural language generation software requires an understanding of the various pricing models and plans available. Costs vary based on features, team size, add-ons, and more. The table below summarizes common plans, their average prices, and typical features included in natural language generation software solutions:
Plan Comparison Table for Natural Language Generation Software
| Plan Type | Average Price | Common Features |
|---|---|---|
| Free Plan | $0 | Basic text creation, limited customization, and access to support resources. |
| Personal Plan | $10-$30/user/month | Text creation, basic analytics, multilingual support, and limited personalization options. |
| Business Plan | $50-$100/user/month | Advanced analytics, enhanced customization, real-time data integration, and team collaboration tools. |
| Enterprise Plan | $200+/user/month | Full customization, dedicated support, advanced security features, and comprehensive data integration. |
Natural Language Generation Software FAQs
Here are some answers to common questions about natural language generation software:
How does natural language generation software handle data privacy?
Natural language generation software typically includes data encryption and access controls to protect privacy. You should ensure the software complies with relevant data protection regulations, like GDPR. It’s also important to verify how the software provider handles data storage and sharing.
What are the integration capabilities of natural language generation software?
Most natural language generation tools integrate with popular platforms like CRM systems, analytics software, and content management systems. Check if the software supports API access for custom integrations. Ensure it can connect with the tools your team already uses.
How can I measure the effectiveness of natural language generation software?
Effectiveness can be measured by evaluating the quality and relevance of the generated content. Look for features like predictive performance scoring. Also, assess how well the tool meets your specific business needs and improves your workflow.
What level of customization is available in natural language generation software?
Customization varies by tool but often includes the ability to tailor templates, adjust language tone, and modify outputs to match brand guidelines. Ensure the software allows for enough flexibility to meet your business requirements without extensive technical adjustments.
How important is user support when choosing natural language generation software?
Strong user support is crucial for a smooth experience. Look for providers that offer 24/7 support, comprehensive documentation, and training resources. Quick response times and multiple support channels can significantly impact your team’s productivity.
Are there industry-specific natural language generation solutions?
Yes, some solutions cater to specific industries like finance, healthcare, or e-commerce. These tools may offer specialized templates and features designed for industry-specific content needs. Consider if an industry-specific tool can better address your unique requirements.
What’s Next:
If you're in the process of researching natural language generation software, connect with a SoftwareSelect advisor for free recommendations.
You fill out a form and have a quick chat where they get into the specifics of your needs. Then you'll get a shortlist of software to review. They'll even support you through the entire buying process, including price negotiations.