--- title: Google Cloud Natural Language API Reviews meta_title: 'Google Cloud Natural Language API Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 121 reviews by the users' company size, role or industry to find out how Google Cloud Natural Language API works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 121 scale: '5' date_modified: '2026-09-29' parent_category: name: Natural Language Processing (NLP) url: https://www.g2.com/categories/natural-language-processing-nlp --- # Google Cloud Natural Language API Reviews **Vendor:** Google **Category:** [Natural Language Understanding (NLU) Software](https://www.g2.com/categories/natural-language-understanding-nlu) **Average Rating:** 4.3/5.0 **Total Reviews:** 121 **AI Verified:** At least 10 G2 reviewers have confirmed using this product's AI features and functionality. ## About Google Cloud Natural Language API Derive insights from unstructured text using Google machine learning. ## Google Cloud Natural Language API Pros & Cons Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews. **What users like:** - Users highlight the **file upload capability** of Google Cloud Natural Language API, enhancing decision-making for large databases. (1 reviews) - Users appreciate the **ability to upload databases and large files** with Google Cloud Natural Language API for informed decision-making. (1 reviews) - Users find the **database upload capability** of Google Cloud Natural Language API invaluable for making informed decisions in healthcare. (1 reviews) **What users dislike:** - Users find the **Google Cloud Natural Language API not user-friendly** , as it can be difficult to understand and navigate. (1 reviews) ## Google Cloud Natural Language API Reviews ### 1. Seamless Google Cloud NLP Setup with Clean JSON for Fast Entity & Sentiment Analysis **Rating:** 4.0/5.0 stars **Reviewed by:** Parwaiz A. | Software Developer, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 24, 2026 **What do you like best about Google Cloud Natural Language API?** Since I already manage projects in Google Cloud, turning on the Natural Language API was seamless through the console, with no need for any separate vendor setup. Integrating the client libraries is also very straightforward, especially with the Python SDK. What stands out most to me is how easy it is to run entity and sentiment analysis without having to build or fine-tune custom ML models. The response payload comes back as clean, well-structured JSON, with clear sentiment polarity and magnitude scores, so it’s quick to plug into my backend data-processing pipelines. **What do you dislike about Google Cloud Natural Language API?** The sentiment analysis work fine on standard English, but it tends to misread subtle things like sarcasm, informal slang, or mixed emotional tones in casual user reviews. Another limitation is that you cant easily tune the entity recognition on the fly, if you have niche or domain specific terms, you have to jump through extra hoops with AutoML rather than adjusting thing directly in the standard API. Also, costs add up fast once you start running large batches of text through it regularly. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Before using this API, parsing and categorizing large sets of unstructured user feedback required manual tagging or maintaining brittle rule based regex scripts. Integrating the Natural Language API automated the entire classification and sentiment tagging pipeline. Now, incoming feedback and text content are automatically processed and structured into clean JSON data with sentiment polarity and entity tags. This eliminates hours of manual data sorting, ensures consistent categorization, and lets us identify critical negative feedback or emerging topics much faster. ### 2. Easy, Reliable, and Scalable Language Analysis with Google Cloud Natural Language API **Rating:** 4.0/5.0 stars **Reviewed by:** Sehaj V. | Project lead, Computer Software, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 21, 2026 **What do you like best about Google Cloud Natural Language API?** The most attractive aspect of the Google Cloud Natural Language API is that it is able to analyze and understand the human language promptly without the need for complicated machine learning algorithms or programming codes. It has some great tools such as sentiment analysis, entity recognition, syntax analysis, and content categorization that make it a great option for various practical uses. It is very easy to use and can be integrated into other Google Cloud Services. It is also reliable and scalable. Furthermore, the documentation is also clear and concise. **What do you dislike about Google Cloud Natural Language API?** The main limitation of Google Cloud Natural Language API is that it may have issues with understanding contexts, sarcasm, slang, or domain-specific language. Its accuracy depends on the nature of text. It also becomes costly when used for large amounts of data, particularly for those applications which are heavily used. Another disadvantage is that some extra customization or models based on machine learning will be required for certain specific cases. Dependency on Google Cloud may also be a drawback for some projects. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Google Cloud Natural Language API is used by me to solve my problem of analyzing and processing unstructured text. It helps in sentiment detection, entity recognition, and determination of the text's meaning, which means that there is no need for manually performing such tasks. Such functionality is particularly useful for customer feedback, reviews, surveys, and any other text based data analysis. There is no need for development of models for such purposes since I can make use of already developed solutions for language processing. ### 3. Effortless Text Insights with Strong Sentiment and Entity Analysis **Rating:** 4.5/5.0 stars **Reviewed by:** Subhashree S. | Developer, Computer Software, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** August 14, 2026 **What do you like best about Google Cloud Natural Language API?** What I like best is how easy it is to turn unstructured text into useful information without building an NLP pipeline from scratch. The sentiment and entity analysis are particularly helpful for understanding customer feedback, while content classification and syntax analysis make it useful for organizing and processing large volumes of text. **What do you dislike about Google Cloud Natural Language API?** The main thing I dislike is that the API can feel limited for more nuanced language understanding. Sentiment analysis and entity extraction work well for straightforward text, but complex context, sarcasm, or ambiguous wording can be harder to interpret accurately. I also find the usage-based pricing less attractive at higher volumes, since charges are based on the amount of text processed. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** It helps with turning unstructured text into usable business insights without having to build and maintain an NLP pipeline from scratch. We use it for things like sentiment analysis, extracting entities from customer feedback, and classifying text. This makes it easier to analyze large amounts of feedback, identify trends, and automate some manual text-processing work, which saves development time and helps with faster decision-making. ### 4. Fast, Accurate Text Insights with Google Cloud Natural Language API **Rating:** 4.5/5.0 stars **Reviewed by:** Anjaly T. | Reporting and Analytics Specialist , Public Relations and Communications, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** July 30, 2026 **What do you like best about Google Cloud Natural Language API?** What I like best about Google Cloud Natural Language API is how quickly it analyzes text and provides useful insights. Features like sentiment analysis, entity recognition, and content classification are accurate and easy to use. It saves time by automatically processing large amounts of text, and the API integrates well with other Google Cloud services. **What do you dislike about Google Cloud Natural Language API?** One thing I don't like is that the pricing can become expensive when processing large volumes of text. Some advanced features also require time to understand and configure. Better documentation with more practical examples would make it easier for new users to get started. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Before using Google Cloud Natural Language API, analyzing large amounts of text was mostly a manual process and took a lot of time. Now, I can automatically identify sentiment, extract key entities, and classify content in seconds. This has reduced manual work, improved the accuracy of text analysis, and helped me process information much faster. ### 5. Effortlessly Analyzes Sentiments, Needs Improved Context Understanding **Rating:** 4.5/5.0 stars **Reviewed by:** Nazar A. | Product Manager, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 11, 2026 **What do you like best about Google Cloud Natural Language API?** I really like the Google Cloud Natural Language API, especially the entity analysis feature. It quickly shows what guests are talking about regarding our services, rooms, food, and more. The text classification tool is also something I use and find valuable because it helps me group guest feedback and identify recurring issues, which supports better decision making. Plus, the initial setup was easy to understand and classy to implement. **What do you dislike about Google Cloud Natural Language API?** Sometimes the accuracy of the Google Cloud Natural Language API can be a bit off. It might miss the context or intent behind guest comments, especially if the feedback is informal or mixed with sarcasm. There are times when a sarcastic remark might even be misinterpreted as a positive comment, which can be misleading. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Google Cloud Natural Language API reduces manual review time, helps analyze guest sentiments, and prioritizes root causes of low ratings, enhancing decision-making for hotel improvements. ### 6. Accurate, Fast Text Analysis with Easy Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Soundarya S. | UI UX Designer, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through Google One Tap using a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 26, 2026 **What do you like best about Google Cloud Natural Language API?** Google Cloud Natural Language API is how accurately and quickly it analyzes text. I've found it especially useful for understanding sentiment, extracting key information, and identifying the overall context of content. The API is easy to integrate and works reliably, which makes it a great choice for building AI-powered applications and automating text analysis. **What do you dislike about Google Cloud Natural Language API?** Google Cloud Natural language API is that it can take some time to understand and configure all the available features, especially for Beginners. The pricing can also become a concern when processing a large volume of text. Additionally, some advanced customization options are limited compared with building a completely custom NLP solution. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Google Cloud Natural API helps me automate text analysis without having to build NLP models from scratch. I use it to understand sentiment, extract important information, and analyze the overall context of content. This saves development time, reduces manual analysis, and makes it easier to turn large amounts of text into useful insights ### 7. Fast, Cost-Effective Text Insights with Google Cloud Natural Language API **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** August 21, 2026 **What do you like best about Google Cloud Natural Language API?** I like that the Google Cloud Natural Language API can quickly extract sentiment, entities, and syntax from text without requiring us to build or train an NLP model ourselves. For example, we can analyze customer feedback to spot positive or negative sentiment, detect mentions of specific products or companies, and then feed the structured results into dashboards or automated workflows. Overall, this makes integration relatively straightforward and cost-effective. Google Cloud Natural Language API is generally fast and reliable for processing customer feedback, support tickets, and other text in near real time. It handles higher workloads well when requests are distributed appropriately, although large batch-processing jobs require attention to quotas, rate limits, and retry logic to avoid interruptions. **What do you dislike about Google Cloud Natural Language API?** The biggest limitation is that the API can struggle with context, sarcasm, and industry-specific language. For example, if a customer says a product is “sick,” that could be interpreted in different ways depending on the audience. Customization also feels more limited than with newer generative AI platforms, and costs can be harder to predict when you’re processing large volumes of text or combining multiple language-analysis features. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Google Cloud Natural Language API helps us turn large volumes of unstructured text into useful, structured data without having to build an NLP pipeline from scratch. For example, we can automatically identify customer sentiment, extract product or company names from feedback, and categorize recurring themes. This saves development time, makes support and feedback analysis easier to scale, and gives our teams clearer insights they can feed into dashboards and other automated workflows. ### 8. Easy Integration and Accurate Results **Rating:** 4.0/5.0 stars **Reviewed by:** Rahul K. | Self-employed, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 25, 2026 **What do you like best about Google Cloud Natural Language API?** What I like most about Google Cloud Natural Language API is how easy it is to use and integrate into our existing workflow. The sentiment analysis is also very accurate, which helps us understand customer feedback better. It saves our team a lot of time because we don’t have to build everything from scratch. **What do you dislike about Google Cloud Natural Language API?** One thing I find a little difficult is that the API can sometimes miss the context or meaning behind certain customer comments. The pricing can also become a concern when usage increases, so keeping an eye on costs is important **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** It helps us understand customer feedback at scale by quickly identifying sentiment and key topics. This saves our team time, makes it easier to spot common customer issues, and helps us make better decisions based on feedback ### 9. Machine learning driven text analysis API. Great for customer generated content. **Rating:** 4.5/5.0 stars **Reviewed by:** Pratigya S. | Senior SEO Specialist, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 03, 2026 **What do you like best about Google Cloud Natural Language API?** I really enjoy how Google Cloud Natural Language API can identify so much from huge amounts of text with great precision. It's given us a better understanding of our content through its entity analysis, sentiment analysis, and language analysis. Also it's very easy to plug into your current working process. It's been a huge time saver when it comes to manual labor of sorting through content. **What do you dislike about Google Cloud Natural Language API?** Some of the more complex features can be tricky if you want to do customizations, just learn about machine learning. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Natural Language API was able to help me cut through the noise of sorting through text data manually. We've been able to better understand our content, improve our processes around analyzing data and make more decisions based on data. It's eliminated so much repeat work and allowed us to be more strategic. ### 10. Accurate, Easy NLP Insights—But Pricing and Customization Can Be Limiting **Rating:** 3.5/5.0 stars **Reviewed by:** Vaibhavee S. | Software Engineer, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** August 08, 2026 **What do you like best about Google Cloud Natural Language API?** What I like best about Google Cloud Natural Language API is its accurate text analysis, easy integration, and reliable performance for extracting insights like sentiment and entities. **What do you dislike about Google Cloud Natural Language API?** Its pricing can become expensive at scale, and some advanced customization options are limited compared to building your own NLP models **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Google Cloud Natural Language API helps automate text analysis, making it easier to understand customer feedback, categorize content, and extract key information. This saves development time and improves decision-making. ### 11. Easy Integration, Strong Pretrained NLP Models, and Helpful Documentation **Rating:** 4.0/5.0 stars **Reviewed by:** Daniel G. | Customer Service Representative, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 06, 2026 **What do you like best about Google Cloud Natural Language API?** It is easy to inegrate with already existing libraties and works with multiple programming languages. If you don't have NLP models available, the pretrained ones that Cloud Natural Language API has can do a really good job. I also found the abundance of documentation and tutorials really useful. **What do you dislike about Google Cloud Natural Language API?** The cost can be significant, which is why I don't use it more often. There is no offline version. The rate limits and quotas can be limiting, depending on the task. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** I was using it for personal projects and Google Cloud Natural Language API helped me automate a couple of flows, realistically saving me 3-4 hours of work a week. ### 12. Effortless Setup, Accurate Yet Needs Nuance Improvement **Rating:** 4.5/5.0 stars **Reviewed by:** Ryan L. | Senior Solutions Engineer, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through Google using a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 27, 2026 **What do you like best about Google Cloud Natural Language API?** I like how easy Google makes it to work with Google Cloud Natural Language API, just like their other Google Cloud products. The initial setup was very easy. **What do you dislike about Google Cloud Natural Language API?** I find that sarcasm, irony, and subtext in sentiment analysis are sometimes interpreted incorrectly by the system. Phrases like 'Oh wonderful, our database crashed again' will register as positive because of words like 'wonderful'. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** I use Google Cloud Natural Language API for analyzing text and drafting synopsis. It helps with detailed character arcing and relationship mapping. ### 13. Great for Text Extraction and OCR in Documents **Rating:** 4.0/5.0 stars **Reviewed by:** Ashok K. | Research Engineer, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** August 12, 2026 **What do you like best about Google Cloud Natural Language API?** I have mostly used it for text extraction and ocr in documents **What do you dislike about Google Cloud Natural Language API?** It is not helpful if some characters are not visible or using for ocr on a very old document **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** It has transcribe and ocr capabilities, which I have mostly used for p and id reading. ### 14. Quick, Accurate Insights from Unstructured Data with Minimal Setup **Rating:** 4.5/5.0 stars **Reviewed by:** Phani V. | Director, Engineering, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 11, 2026 **What do you like best about Google Cloud Natural Language API?** Ability to quickly extract meaningful insights from large volume of unstructured data with very minimal setup. Inbuilt features like sentiment analysis, entity recognition and content classification etc. are highly accurate and easy to integrate to apps through APIs **What do you dislike about Google Cloud Natural Language API?** Advanced customized options are limited compared to building and training custom NLP models **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Helps process and understand large amounts of text automatically. Its easier to analyze the feedback i receive from customers. This saves time, improves productivity and helps making faster informed decision making ### 15. Helpful Sentiment Analysis with Google Cloud Natural Language API **Rating:** 4.5/5.0 stars **Reviewed by:** Samrat S. | web developer, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** September 27, 2026 **What do you like best about Google Cloud Natural Language API?** The best thing about the Google Cloud Natural Language API is that it analyzes emotions and provides helpful sentiment analysis. **What do you dislike about Google Cloud Natural Language API?** It’s a little difficult for someone new to get started, but once they learn it, it’s not that hard to set up. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** It helps analyze emotions and supports both users and developers in reviewing large amounts of text. ### 16. Makes Deep Sentiment Analysis Easy Without a Data Science Background **Rating:** 4.5/5.0 stars **Reviewed by:** Ramanathan L. | Software Engineer 2, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 05, 2026 **What do you like best about Google Cloud Natural Language API?** It handles heavy lifting of machine learning for me. I don't have data science background yet it allows me to extract deep sentiment from raw data **What do you dislike about Google Cloud Natural Language API?** Charging is per 1000 characters which is making me to worry if I need to process a larger data. There are no rooms for customisation and the pre-trained model sometimes miss industry standards. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** It saves text analysis development time. It helps in processing massive scattered data in structured data making it easier to search ### 17. High-Accuracy Text Analysis with Seamless Google Cloud Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Eyal B. | Chief Revenue Officer, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 06, 2026 **What do you like best about Google Cloud Natural Language API?** The ability to analyze complex texts with high accuracy, fast entity recognition, and seamless integration with other Google Cloud services that streamline the workflow. **What do you dislike about Google Cloud Natural Language API?** The pricing can become high for large-scale operations, and advanced fine-tuning options for custom domain-specific terminology are somewhat limited compared to standalone LLMs. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** It solves the challenge of manually processing large volumes of unstructured text data, enabling automated sentiment analysis and categorization that significantly speeds up operational workflows and insights extraction. ### 18. Accessible, Easy to Use, and a Pleasure to Work With **Rating:** 5.0/5.0 stars **Reviewed by:** Shruti P. | Data Analyst, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through Google using a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 04, 2026 **What do you like best about Google Cloud Natural Language API?** That it is more accessible and easy to use **What do you dislike about Google Cloud Natural Language API?** The cost factor of it and the usage limits can be improved **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** To connect with different resources ### 19. Spot-On Sentiment Analysis for Ecommerce Reviews and Themes **Rating:** 5.0/5.0 stars **Reviewed by:** Arnab S. | Purchase Manager, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 08, 2026 **What do you like best about Google Cloud Natural Language API?** Sentiment analysis where from Ecommerce comments we can identify the false negative/positive and then can identify themes from the reviews **What do you dislike about Google Cloud Natural Language API?** Lack of customization; usually we cant go for different LLM models **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Sentiment analysis of reviews leading to improved customer query resolution and product development ### 20. Wide Language Support with an Easy API and Friendly Pricing **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Real Estate | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 05, 2026 **What do you like best about Google Cloud Natural Language API?** It supports a wide range of languages, offers an easy-to-use API, and has friendly pricing. **What do you dislike about Google Cloud Natural Language API?** It lacks customization, and I can’t control the versioning. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** we use Google Cloud Natural Language API to parse our customer review and to generate actionable insights ### 21. Scalable, Multilingual Support That Grows With Us **Rating:** 5.0/5.0 stars **Reviewed by:** Venkata M. | Consultant, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 27, 2026 **What do you like best about Google Cloud Natural Language API?** Multi language support and scalability as application grows **What do you dislike about Google Cloud Natural Language API?** Bit costly. Usage quotas and rate limits can affect very large applications. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Analyzing customer reviews, ### 22. Helps Shape Cohesive, Polished Writing from Rough Drafts **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Non-Profit Organization Management | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 04, 2026 **What do you like best about Google Cloud Natural Language API?** It helps e able to form a thought together that is cohesive an sounds pretty. sometimes I just write stuff and it is able to understand pretty well what I mean and edit it. **What do you dislike about Google Cloud Natural Language API?** I think sometimes it oversimplifies things like with sarcasm it cannot do very well **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Making me be able to do tasks quicker with more efficiency ### 23. Empowers Apps with Natural Language Features Like Sentiment Analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 04, 2026 **What do you like best about Google Cloud Natural Language API?** It empowers developers to easily apply natural language capabilities to their apps, with features such as sentiment analysis. **What do you dislike about Google Cloud Natural Language API?** It’s difficult to learn, and it requires a high level of training. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Sentiment analysis, content classification, and syntax analysis with natural language understanding. ### 24. Evolving AI Software That’s Becoming Incredibly Helpful **Rating:** 5.0/5.0 stars **Reviewed by:** Lisa S. | Clinical MA, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through Google using a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** May 19, 2026 **What do you like best about Google Cloud Natural Language API?** The software for the AI is evolving and becoming so helpful **What do you dislike about Google Cloud Natural Language API?** The support could use alittle assistance **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** We were struggling we language barriers but AI has helped with that ### 25. Easy to Implement and Accurate **Rating:** 3.0/5.0 stars **Reviewed by:** Debjyoti S. | Lead Data Scientist, Consulting, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** January 16, 2024 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about Google Cloud Natural Language API?** The Orchestration of Conversation Flow is easier to implement and also the accuracy with less training data is a plus. **What do you dislike about Google Cloud Natural Language API?** The pricing is bit on a higher side for custom models. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** It provides natural language understanding technologies, such as sentiment analysis, named entity recognition, and other text annotations to developers. ### 26. Various machine learning to n number of peopleople **Rating:** 5.0/5.0 stars **Reviewed by:** CA. Dishi T. | Area Credit Manager, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** March 29, 2025 **What do you like best about Google Cloud Natural Language API?** Google cloud is best in everything like I used natural language API help healthcare services its best feature is it allows users to upload their database and big files
And give all the good decisions for any database **What do you dislike about Google Cloud Natural Language API?** Sometime it is hard to understand and use **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** It provides every cloud related solutions like AI models ensuring data security it access to powerful AI tools in decision making ### 27. Non-naive Simplification of the ML Inference Pipeline on GCP using Vertex AI **Rating:** 3.0/5.0 stars **Reviewed by:** Bestman E. | Machine Learning Engineering, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** April 25, 2024 **What do you like best about Google Cloud Natural Language API?** The most helpful aspects of using GCP NLP API are the integrated UI/environment and simplified design. The key features are prominent to locate while the categories of each feature application are well sorted in a hierarchy of importance. Implementing NLP is straightforward but requires lengthy lines of code when using other APIs external to the GCP. Customer Support is efficient due to frequent use. However, the technical skill of each customer service agent significantly varies from my experience. I observed varied levels of technical understanding of the GCP among the staff which I could describe as degraded due to my last encounter. I periodically use the GCP especially for training/ research but not in production at the moment because I also use the AWS platform which is better simplified in my opinion but the GCP is more cost-efficient. The Vertex AI platform is robust and integrates well with other ML cloud providers and major data warehouses. **What do you dislike about Google Cloud Natural Language API?** The downside of GCP NLP API is the over-population of the applications in each feature category and the low throughput and network latency for users outside the USA with particular reference to Nigeria, and Africa at large. It is difficult to optimise the ML application due to delayed inference time which would have implications for multi-threaded ML pipeline applications. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** GCP NLP API has many use cases. It is robust for me to try out new and creative ideas/experiments in my data science and ML fields/research. I mostly use it for my personal business and academic experiments. In my recent instances of usage, it was for determining how potential customers' demand for a service changes with seasonalities, location, and availability of support. It is also suitable in my opinion for feature selection during the development of an Explainable Artificial Intelligence product/project as it helps me to prioritise/analyse feature vectors with high signal/predictive qualities for a product that would influence high sales. Overall, I am positive about it because GCP NLP is still in its infant stage of development and would require more iterations to make it user-friendly. ### 28. Personal Opinion/Experience with Google Cloud Natural API **Rating:** 4.5/5.0 stars **Reviewed by:** Sameeksh T. | Microsoft Learn Student Ambassador, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** March 13, 2024 **What do you like best about Google Cloud Natural Language API?** Recently I was working on a project named "Sentiment Analysis" in integration with Google Cloud Natural Language API. When I used it to analyze text data for my "Sentiment Analysis" project, it did an excellent job correctly identifying whether the sentiment was positive, negative, or neutral. Also what I liked the most is the documentation itself, allowing me to get up and run quickly. Additionally the multilingual support feature was a nice bonus that could come in handy for future text analysis needs. Overall I had a good experience with Google Cloud's Natural Language API, and planning to further use it in other upcoming projects as well. **What do you dislike about Google Cloud Natural Language API?** As of now I do have a good experience using the Google Cloud Natural Language API, but I think it would be nice if offers a more affordable flat-rate pricing tier for individual developers or smaller use cases. Other than the pricing I enjoyed well using this Natural Language API by Google Cloud. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** As I have previously mentioned that how this API comes out to be beneficial to me for my "Sentiment Analysis" project, so instead of having to manually read and interpret each text data, the API automated this time-consuming process and helped me to determine if the sentiment was positive, negative, neutral, or mixed. If I wouldn't have come across the Google's Natural Language API, I would have had to find, evaluate, and implement multiple separate NLP tools and models. So overall it helped me a lot in my "Sentiment Analysis" project. ### 29. Experience with Google Cloud Natural Language API **Rating:** 4.5/5.0 stars **Reviewed by:** Anish R. | Software Engineer, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** May 15, 2024 **What do you like best about Google Cloud Natural Language API?** Google cloud provides its own pretrained model for NLP related tasks. A ready to use API, what else do you need! You can use the pretrained model as an API, or you can train your custom model too based on your needs. **What do you dislike about Google Cloud Natural Language API?** The models are excellent and suit all my needs. I haven't found any dislikes as such yet. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** I have used context analysis to read documents before using this API, and it has been able to identify numbers, headings, and every context I'd like it to identify. It can also be paired with other pretrained models like Vision API and now you can perform OCR with it! It really has a good use, and the integration with Google Cloud and its other pretrained models helps a lot. ### 30. Google Cloud Platforms Reviews **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** April 20, 2024 **What do you like best about Google Cloud Natural Language API?** Google cloud team providing each every ready mate softwares applications tools and platforms for cloud computing cloud engineering technology for developers. That is that one thing I like about Google Cloud Platforms. Google Cloud Natural Language API has its own advantages for me as developing AI tools and sites. This API has helping in empowering as and analyzing content i ln a better way like speech and text conversions. Machine learning algorithmsbl can give better understanding and analysis of websites contents. Linguistic enhancement. To generate content in various languagess. Content text analysis and improvements with the help of Google cloud NLP. **What do you dislike about Google Cloud Natural Language API?** Nothing as per my experience and knowledge.. As it has very limited uses for particular projects only. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** For us for solving and improving content text analysis by NLP and NLU technology. ### 31. Tapping into Words: An Examination of Google Cloud's Language Understanding Tool **Rating:** 4.0/5.0 stars **Reviewed by:** Anant s. | SDE, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** March 11, 2024 **What do you like best about Google Cloud Natural Language API?** What I enjoy most about the­ Google Cloud Natural Language API is its strong and flexible­ skills in precisely examining and compre­hending language, providing capabilities like­ sentiment examination, e­ntity recognition, and language identification with re­markable correctness and quickne­ss. **What do you dislike about Google Cloud Natural Language API?** One possible­ downside of using Google Cloud Natural Language API is its pricing mode­l, which could get costly for huge volumes of use­ or constant utilization, particularly for companies with financial limits or unpredictable patte­rns of how often it's used. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** The Google­ Cloud Natural Language API helps with understanding human language­ (NLU) by giving strong text analysis skills, like fee­ling analysis, entity recognition, and syntax analysis. This helps use­rs by letting them find meaningful de­tails from text information without a fixed form, automate jobs like­ putting content into groups and tracking feelings, and improve­ the total understanding of written conte­nt in different apps, from analyzing customer comme­nts to checking content. ### 32. Review of Cloud Natural Language API **Rating:** 5.0/5.0 stars **Reviewed by:** Badal O. | Member of Technical Staff, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** March 28, 2024 **What do you like best about Google Cloud Natural Language API?** I have worked on a project in which we are using it for sentiment analysis, entity recognition and language identification. It works very well for many regional Indian languages, and is able to determine sentiment for them. We can also use it as a translator. **What do you dislike about Google Cloud Natural Language API?** I have not found any downside of it, yes there is room for improvement. Customer support is average, and the documentation can be improved. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** We are using it for sentiment analysis, entity recognition and language identification on large amounts of data with high accuracy, which helps to save time. ### 33. Quick and precise answer from the API **Rating:** 4.0/5.0 stars **Reviewed by:** Atmanand G. | Cloud Lead, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** February 12, 2024 **What do you like best about Google Cloud Natural Language API?** Enabling the API is very easy and obviously giving access to specific people in the team. Next, talking about the product specifically, then yes, it's fast, the replies are generated and sent very quickly. Secondly, the answers are precise to a great probability, most of the time, or almost every time the conversion of Speech to text or other speech processing is very precise and up to the mark. **What do you dislike about Google Cloud Natural Language API?** Compared to other alternatives in the market, I wouldn't say there's anything specifically to dislike about this product at all. The only thing I found lagging with any service is how cool it would be to have this service in offline mode, when there is a cut-off from the outside world in certain situations and applications for a while. Other than that, there is nothing which comes to my mind as of now. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** My basic application was to understand the commands given by a user and find the best meaning of that input, to execute the respective task. ### 34. An overview of NLP API **Rating:** 4.5/5.0 stars **Reviewed by:** Abhiraj B. | Cultural Co-Head , Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** February 06, 2024 **What do you like best about Google Cloud Natural Language API?** It is a seamless tool with minimal delay and it also supports multiple languages, which was a very attractive feature for me. **What do you dislike about Google Cloud Natural Language API?** Although having its fair share of advantages, the model cannot be tuned further towards any specific or personal use and also it is hard to integrate with other models. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** It serves a quick way to identify and break down a given language into its very basics as to the elemental level of the language it helped me in understanding similarities and differences between the structure of 2 languages (for me Bengali and English) being a bilingual person this was an interesting fact to learn about the same. ### 35. A very good NLP automation tool **Rating:** 4.0/5.0 stars **Reviewed by:** Walid A. | Business Intelligence Developer, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** April 26, 2024 **What do you like best about Google Cloud Natural Language API?** Its very good to automate context understanding and syntax understanding as well. And it perfectly integrates with the Google Cloud Stack of Services, which makes it an even more compelling service **What do you dislike about Google Cloud Natural Language API?** Sometimes, I do feel like it needs a bit more training and more context window to have a better clear understanding of the sentences **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** It solves problems such as reviews analysis, that many businesses need to automate. ### 36. Pay and use without hassle of training **Rating:** 4.0/5.0 stars **Reviewed by:** Saif A. | Software Engineer, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** April 17, 2024 **What do you like best about Google Cloud Natural Language API?** Features and accuracy of model, there are a lot of pre-trained models out there but not all have extensive features with accuracy. Entity and sentiment analysis etc, can widely be used in different industries i.e. entertainment, detections systems etc. If you start from scratch then you need to spend months and years to collect, manipulate and extract data along with the research for such great accuracy so yea its a likeable API. **What do you dislike about Google Cloud Natural Language API?** Pricing is little bit higher in my opinion. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** We were building recommendation system for which we need entity, moderation and sentiments analysis etc. So used this API to avoid all the fuss of training by our own. ### 37. I have used Google Cloud Natural Language API for a couple of months & I found it very useful. **Rating:** 4.5/5.0 stars **Reviewed by:** Kamran S. | Staffing and Recruiting, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** January 30, 2024 **What do you like best about Google Cloud Natural Language API?** Its sentiment detection feature is the most powerful thing for us. We use Google Cloud Natural Language API to conclude the overall reviews data of our company given by many users by using its sentiment detection features. Additionally, we found integration is very smooth with our product of Google Cloud NL API. **What do you dislike about Google Cloud Natural Language API?** Based on my use cases, I could not find any cons of Google Cloud Natural Language API, although there is room for improvement in terms of training a model when we don't have too much data. It requires too much data to train a model, and I think this is something that Google can improve in this API. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** In our organization, we use Google NL API to conclude the reviews of our company available on Google. It gives us a lot of insight about reviewers' behaviors and sentiments. ### 38. All about Google Cloud Natural Language API **Rating:** 4.5/5.0 stars **Reviewed by:** Utkarsh K. | Programming Analyst, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** February 01, 2024 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about Google Cloud Natural Language API?** Simple to use and offers technology for natural language understanding by using syntactic analysis to uncover the structure and meaning of text through hundreds of pretrained classifications. In chatbot, it interprets and analyses natural language exchanges with customers. Its pretrained models, which require no training data, come in very handy for me when I need to make predictions but have limited data. Pricing is absolutely fine it has various categories in which you can save your cost. **What do you dislike about Google Cloud Natural Language API?** The lack of model accessibility and inflexibility, in my opinion, had an impact on the outcome because most activities in the real world likely call for more specialised solutions than what the standardised natural language API functions can offer. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** I am exploring these services with ease of use. Text categorization, Sentiment analysis, entity analysis, syntax analysis, and entity sentiment analysis ### 39. Why to use Google cloud Natural Language API **Rating:** 4.5/5.0 stars **Reviewed by:** Pritam K. | Senior Software Engineer, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** April 30, 2024 **What do you like best about Google Cloud Natural Language API?** * It's a very Convenient solution for solving complex problems which was earlier very tedious and time taking. * Text recognition and analysis is the prime feature of Google cloud Natural Language api **What do you dislike about Google Cloud Natural Language API?** * Very less flexibility is the prime problem for the of Google cloud Natural Language API. * Missing Data model is also a very big issue in Google cloud Natural Language API. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Earlier text recognition and speech conversion were very tedious and time taking process, after Google cloud Natural Language API this has become very easy and convenient. ### 40. Google NLP API Review **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** March 02, 2024 **What do you like best about Google Cloud Natural Language API?** Google and developers is now being all rounder for every advanced technology now has all products and tools for AI, machine learning and NLP which are proven to be great and amazing help for developers working on Machine learning and AI technology advancement. With that the most amazing and best features for this particular tool wirh the my experience would be as follows- easy to integrate NLP APIs, pre-built promts for AI amd machine learning, text machine learning etc. **What do you dislike about Google Cloud Natural Language API?** There is nothing as such dislikes or downside your asking easy to use and great Google developers cummnity help. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Business problems helping in would be like AI and machine learning projects and NLP projects. ### 41. Based upon my 5 months of experience with Google Cloud NL API, I must say it's a perfect tool. **Rating:** 4.0/5.0 stars **Reviewed by:** Mo Irshad A. | Senior Recruiter, Staffing and Recruiting, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** January 30, 2024 **What do you like best about Google Cloud Natural Language API?** One of the best features of Google Cloud API is its accuracy/power to translate source text into the desired language without losing the emotions of the source text, which is much better than Microsoft Translator. **What do you dislike about Google Cloud Natural Language API?** In my overall 5 months of experience with Google Cloud natural language API, I did not find any negative thing in that Google has provided almost every tool which is very helpful for users/developers although I would say there is a slight room for enhancement in the implementation part. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** We have several social media influencers as our clients and we use Google Cloud Natural Language API's text analysis feature to understand the sentiments of influencers' audiences by analyzing the comments of thousands of influencers' followers and we provide that analyzed comment data to influencers. ### 42. One of the best tool that made by Google **Rating:** 4.5/5.0 stars **Reviewed by:** Sumanth S. | Data Engineer, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** December 07, 2023 **What do you like best about Google Cloud Natural Language API?** It is so much accurate feels like wow, when I use it it will give the best optimised output without much integration issues. As I am using this from last three months. I don't have any complaint , and other appritiating thing is that google is updating this frequently and after every update we will get some awsome features. **What do you dislike about Google Cloud Natural Language API?** For businesses this tool becomes costly however it is having free tier at the beginning , but in the later stage it will become costly that is the only concern , and other thing is that we can find only limited documentation for custom models, So this makes life little harder in this case. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** I'm developing a product in a business, and I use this tool to integrating it with my product, integration was easy, also it is having good pre trained models that reduces so much effort of an developer. Not sure how it behaves when we productionize it, since the product still in development stage. But all are good. ### 43. Longer duration & Better Results **Rating:** 5.0/5.0 stars **Reviewed by:** Surabh S. | Intern, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** March 02, 2024 **What do you like best about Google Cloud Natural Language API?** Process to generate and use is very easy. It has been used multiple times and the features are excellent. It is easily integrated and implemented using python on any IDE. Its Google so the customer support is A1. **What do you dislike about Google Cloud Natural Language API?** The more it reaches to everyone specially students it might help many researchers. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Adding multiple languages and their vocabulary. Helps to translate multiple different text form ancient history for study and research. ### 44. Fast and Seamless API for Document Text Analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Varun Ganjigunte P. | Computer Vision Engineer, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** January 13, 2024 **What do you like best about Google Cloud Natural Language API?** The Google Cloud natural Language API provides a fast and seamless way of analysing large documents via REST APIs. I have found it very convenient for getting named entities and performing sentiment analysis on long PDF documents. **What do you dislike about Google Cloud Natural Language API?** Python API support is not available. It would be great if many other language capabilities apart from English are added for multi-lingual document analysis. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** The API is fast and allows fast integration with existing web applications via REST API. Our team uses it to perform sentiment analysis and extract custom named entities from long PDF documents. ### 45. Scalable machine learning instances with Google Cloud Natural Language API **Rating:** 5.0/5.0 stars **Reviewed by:** Nicolas F. | CEO, Sports, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** January 22, 2024 **What do you like best about Google Cloud Natural Language API?** First of all, we were amazed at the company, how easy it was to upload and store our datasets via Google Cloud Natural Language API. The interface provides optimal control and best of all, the multiple language pairs support make it so dynamic and reliable. **What do you dislike about Google Cloud Natural Language API?** Two words: learning curve. Unless you have trained engineers, you might not make optimal use of all the features and configure the parameters properly. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Google Cloud Natural Language API enables us to analyze and interpret terabytes of data, while maintaining accuracy. ### 46. Super great experience using Google cloud natural language API **Rating:** 4.5/5.0 stars **Reviewed by:** Amogo S. | Software Developer, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** April 30, 2024 **What do you like best about Google Cloud Natural Language API?** I like its language comprehension and super great analysis of Sentiment. **What do you dislike about Google Cloud Natural Language API?** It took the job of language translators but innovation of detructuring that what the API does **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** It is solving the problem of language comprehension ### 47. sentimental analysis is an awesome class **Rating:** 3.5/5.0 stars **Reviewed by:** Shivam K. | software developer, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** April 10, 2024 **What do you like best about Google Cloud Natural Language API?** spam, ham and ner are some of the sentimental sentences which give the accurate results **What do you dislike about Google Cloud Natural Language API?** present results are biased by previous results and their inputs **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** The main motto is to help our company to filter the questions triggered in our community tabs by category ### 48. Shortcut **Rating:** 4.5/5.0 stars **Reviewed by:** Rohith M. | Full Stack Developer, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** December 13, 2023 **What do you like best about Google Cloud Natural Language API?** I used the GCNL API for my project where I had to summarize, categorize, and analyze the data. It has done 50% of my job just using this one. It is good when you know what you are working with. And the implementation is so simple, you don't need to write hard code or anything. I don't know much about the Customer Support, I was just looking for an alternative and found this. I have used this API for almost 1 year from now. **What do you dislike about Google Cloud Natural Language API?** The integration is cool but the only downside I faced (more like a hard way) is that I couldn't get a satisfactory result when using my regional language. Extraction and detection are working fine, but for the analysis, I had to use something else. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** Analyzing the data, summarizing it... I had only used these in GCNL API. ### 49. NLP API **Rating:** 5.0/5.0 stars **Reviewed by:** Abhishek P. | Artificial Intelligence Intern, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** February 16, 2024 **What do you like best about Google Cloud Natural Language API?** This Google Cloud helps us with various tasks like sentiment analysis, entity recognition, text annotation. As a developer, I don't have to write much more code for our NLP project. This API helps to perform these tasks very easily with high accuracy. **What do you dislike about Google Cloud Natural Language API?** Sometimes it fails to define the polarity of typical words or other language-irrelevant words. **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** I worked on the Course Recommendation project using NLP with our team. We used Google Cloud NLP API, and it helped very well. It removed all stoppers and created a connection between the course and the course rating, helping to create the model with an accuracy of 94 percent. ### 50. Sentimental analysis is the best class **Rating:** 3.5/5.0 stars **Reviewed by:** Manoj C. | Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through Google using a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** April 08, 2024 **What do you like best about Google Cloud Natural Language API?** sentiment like spam, ham and NER the results were perfect **What do you dislike about Google Cloud Natural Language API?** The inputs of previous can baise the present outputs **What problems is Google Cloud Natural Language API solving and how is that benefiting you?** The main advantage for our company was, It is easy to filter the questions triggered in the community tab by categories - [View Google Cloud Natural Language API pricing details and edition comparison](https://www.g2.com/products/google-cloud-natural-language-api/reviews?section=pricing&secure%5Bexpires_at%5D=2026-09-29+18%3A46%3A58+-0500&secure%5Bsession_id%5D=715c6b0a-691f-4cfd-bda0-be1c7909882d&secure%5Btoken%5D=46b1591dbb8fbfb168833a2cc14fd600be83de1a11c7a0e3d4c8d7a33dbd9408&format=llm_user) ## Google Cloud Natural Language API Features **Additional Functionality** - Tagging - Natural Language Processing - Data Extraction - Multi-Language - Predictive Analytics - Drag & Drop - Speech Recognition - Reporting/Analytics - Data Storage Management - Virtual Personal Assistant (VPA) - AI Copilot - Customer Segmentation - Collaboration Tools - Data Import/Export - Generative AI - For eCommerce - Role-Based Permissions - Customizable Branding - Search/Filter - Monitoring - Document Management - API - Data Visualization - Trend Analysis - Machine Learning - Access Controls/Permissions - Alerts/Escalation - Performance Metrics - Real-Time Data - Third-Party Integrations - Mobile App - Multiple Data Sources - For Sales Teams/Organizations - Sentiment Analysis - Activity Dashboard - Chatbot - Workflow Automation **Algorithm** - Part of Speech Tagging - Summarization - Named Entity Recognition - Sentiment Analysis - Emotion Detection - Language Detection **Setup** - Integration - Maintenance - No-Code - Third-Party Integrations **System** - Data Ingestion & Wrangling - Programming Language Support - Drag and Drop - Pre-Built Algorithms - Customizable Models **Data** - Security - Data Visualization - Real-Time Data - Visual Analytics **Analysis** - Automation - Named entity recognition - Keyphrase Extraction - Topic Analysis - Sentiment Analysis - Language Identification - Syntax/Part of Speech Parsing - Multi-Language - Trend Analysis - Text Analysis - Qualitative Comparative Analysis - Statistical Analysis - User Research Analysis - Ad hoc Analysis - Quantitative Analysis **Customization** - Pre-Built Parameterization - Custom Extension - Compositionality **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Additional Functionality** - Monitoring - Activity Tracking - Data Collection - Access Controls/Permissions - Predictive Analytics - Computer Assisted Coding - Activity Dashboard - Real-Time Analytics - AI Copilot - Reporting & Statistics - Data Import/Export - Mixed Methods Research - Website Analytics - Multimedia Support - Media Analytics - Categorization/Grouping - Data Storage Management - Feedback Management - Tagging - Collaboration Tools - Single Sign On - Drag & Drop - Annotations - Customizable Branding - Data Coding - Multiple Data Sources - API - Search/Filter - Customizable Reports ## Top Google Cloud Natural Language API Alternatives - [Amazon Comprehend](https://www.g2.com/products/amazon-comprehend/reviews) - 4.3/5.0 (84 reviews) - [Rapidminer AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) - 4.6/5.0 (506 reviews) - [Microsoft Text Analytics API](https://www.g2.com/products/microsoft-text-analytics-api/reviews) - 4.4/5.0 (12 reviews)