# Best Natural Language Processing (NLP) Software 2026 | Capterra > Find the top Natural Language Processing (NLP) software of 2026 on Capterra. Based on millions of verified user reviews - compare and filter for whats important to you to find the best tools for your needs. Source: https://www.capterra.com/natural-language-processing-software/s/free --- # Best Natural Language Processing (NLP) Software Last updated on March 26, 2026 How to find the right Natural Language Processing (NLP) Software? Learn more from our team about Natural Language Processing (NLP) Software pricing features and benefits in our Natural Language Processing (NLP) Buyers Guide Verified Insights Provider data verified by our Software Research team and reviews moderated by our Reviews Verification team. [Learn more](https://www.capterra.com/our-story/) ## What is natural language processing software? Researched by: [Capterra](https://www.capterra.com/resources/author/capterra/) Updated on March 26, 2026 Natural language processing (NLP) software helps computers understand, interpret, and manipulate the human language (speech or text) through the use of artificial intelligence. NLP software uses a combination of computational linguistics and machine learning to process human language and understand the speaker’s sentiment.  NLP software can also translate text from one language to another, summarize large volumes of text, and respond to spoken commands. Digital assistants, speech-to-text software, chatbots, and voice-activated GPS systems all operate on NLP technology. * * * For more information consult our [Natural Language Processing (NLP) Buyers Guide](#buyers-guide-content) Page 1 of 4 Filter (93) Products: Sort By: Sponsored * * * Plan Type Free Trial Popular 85% of professionals opt for a 30-day trial before the software purchase Other subsciption plans: Free Version Monthly Subscription Annual Subscription One-Time License Key Features All key features Popular We have selected the most important and critical features as defined by Capterra user reviews AI Copilot Data Extraction Generative AI Machine Learning Multi-Language Optical Character Recognition Part of Speech Tagging Search/Filter Sentiment Analysis Speech Recognition Text Analysis Topic Classification Deployment Cloud, SaaS, Web-Based Desktop Mac Desktop Windows Desktop Linux On-Premise Windows On-Premise Linux Desktop Chromebook Mobile Android Mobile iPhone Mobile iPad Table of Contents - [The benefits of natural language processing software](#the-benefits-of-natural-language-processing-software) - [Typical features of natural language processing software](#typical-features-of-natural-language-processing-software) - [The cost of natural language processing software](#the-cost-of-natural-language-processing-software) - [Considerations when purchasing natural language processing software](#considerations-when-purchasing-natural-language-processing-software) ## The benefits of natural language processing software - **Streamlines business processes:** NLP solutions allow businesses to streamline their processes by adding the element of automation to operations. Manual data processing is time-consuming and also prone to human errors. Instead, NLP software allows organizations to automate the analysis of customer data, freeing up time for employees to focus on higher-priority tasks.  - **Improves customer experience:** NLP software can be useful for companies looking to improve their customer service efforts. The software automatically categorizes and analyzes customer queries/complaints and allocates them to appropriate customer service representatives. This streamlines the support process and ensures customers receive assistance in a more timely manner, increasing customer satisfaction rates. - **Enhances business insights:** Unstructured data, such as open-ended survey responses and online reviews, requires a deep level of analysis to extract business insights. NLP-powered tools can be trained to understand and perform data analysis more efficiently than any human ever could. With an NLP solution, businesses can process large, complex volumes of unstructured customer data so their project teams can apply the insights gained to company decision-making. * * * ## Typical features of natural language processing software - **Sentiment analysis:** Categorize emotions expressed in written text as positive, negative, or neutral to gain insights. - **Text analysis:** Extract and classify information from text such as tweets, emails, and product reviews. - **Data extraction:** Automatically extract information from documents or websites and input it into a database in a specified format. - **Machine learning:** Implement machine learning algorithms on business data such as sales and revenue figures to facilitate decision-making.  - **Part of speech tagging:** Categorize words into the different parts of speech, depending on their definition and context. This feature supports data extraction efforts such as filtering negative customer reviews. - **Searching/filtering:** Search or filter through available resources to locate the required information. This feature allows organizations to quickly search through volumes of data, text, and reports. - **Multilanguage processing:** Use artificial intelligence and linguistics to process and analyze speech and text in multiple languages. * * * ## The cost of natural language processing software Most products in this market are priced on a monthly basis. Pricing can be divided into three pricing tiers based on the starting prices:  **Price ranges\*:** - $29 - $74 - $74 - $134 - $134+ _\*The pricing included is for the entry-level/lowest-priced offering found on vendor websites on June 22, 2022. These ranges correspond to the 25th, 75th, and 100th percentiles of pricing information gathered from vendor websites of sample products._ * * * ## Considerations when purchasing natural language processing software - **Domain knowledge and understanding:** Choosing NLP software that understands the terminology used in your industry is absolutely essential. If your shortlisted NLP software can't understand common industry terms, it may cause errors in data analysis, resulting in inaccurate insights. If you operate in industries such as legal, medical, and finance that use complex industry-specific jargons, you should shortlist a product that contains deep industry/domain knowledge so your organization can fully reap the benefits of NLP. - **Deployment options:** Be sure to consider how you will deploy your NLP software. Typically, NLP solutions can be deployed in the cloud, on-premise, or via a combination of the two (hybrid model). Find out which deployment type your organization would benefit the most from, and ask the NLP software vendor if they have a suitable deployment option. - **Update frequency:** NLP software should be regularly updated to decrease the risk of processing errors. Check the reviews of the NLP software you've chosen to ensure your organization can get the most out of it without contracting any malicious malware. To ensure your business data stays secure, talk to the software vendor and understand what their product release cycle looks like and how they share user information. * * * **Sources** Products evaluated for the pricing calculation were taken from Capterra's [NLP software directory](https://www.capterra.com/natural-language-processing-software/), sorted by the number of reviews. The pricing ranges exclude freemium versions of the products. The features highlighted were identified based on their relevance and the percentage of products in Capterra's directory that offer them.