Google Cloud Natural Language API vs. TextRazor Comparison


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About Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.	About The TextRazor API helps you extract and understand the Who, What, Why and How from your news stories with unprecedented accuracy and speed. Entity Extraction, Disambiguation and Linking. Keyphrase Extraction. Automatic Topic Tagging and Classification. All in 12 languages. Deep analysis of your content to extract Relations, Typed Dependencies between words and Synonyms, enabling powerful context aware semantic applications. Rapidly extract custom products, companies and build problem specific rules for tagging your content with your own categories. TextRazor offers a complete cloud or self-hosted text analysis infrastructure. We combine state-of-the-art natural language processing techniques with a comprehensive knowledgebase of real-life facts to help rapidly extract the value from your documents, tweets or web pages.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Developers seeking a solution to derive insights from unstructured text using Google machine learning	Audience Companies or individuals looking to parse, analyze and extract semantic metadata from their content
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial	Pricing $200 per month Free Version Free Trial
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Google Founded: 1998 United States cloud.google.com/natural-language	Company Information TextRazor Founded: 2011 United Kingdom www.textrazor.com
Alternatives Komprehend	Alternatives Google Cloud Natural Language API Google
Semantria Lexalytics	Semantria Lexalytics
Kimola Cognitive Kimola	Watson Natural Language Understanding IBM
Watson Natural Language Understanding IBM	Relative Insight
Azure Text Analytics Microsoft View All	OpenText Unstructured Data Analytics OpenText View All
Categories AI Tools Artificial Intelligence (AI) APIs Data Extraction Healthcare AI Machine Learning Natural Language Generation Natural Language Processing Qualitative Data Analysis Sentiment Analysis Text Analytics Text Mining	Categories Natural Language Processing Qualitative Data Analysis Text Analytics Text Mining
Natural Language Processing Features Co-Reference Resolution In-Database Text Analytics Named Entity Recognition Natural Language Generation (NLG) Open Source Integrations Parsing Part-of-Speech Tagging Sentence Segmentation Stemming/Lemmatization Tokenization Qualitative Data Analysis Features Annotations Collaboration Data Visualization Media Analytics Mixed Methods Research Multi-Language Qualitative Comparative Analysis Quantitative Content Analysis Sentiment Analysis Statistical Analysis Text Analytics User Research Analysis Text Mining Features Boolean Queries Document Filtering Graphical Data Presentation Language Detection Predictive Modeling Sentiment Analysis Summarization Tagging Taxonomy Classification Text Analysis Topic Clustering Show More Features Data Extraction Features Disparate Data Collection Document Extraction Email Address Extraction Image Extraction IP Address Extraction Phone Number Extraction Pricing Extraction Web Data Extraction Machine Learning Features Deep Learning ML Algorithm Library Model Training Natural Language Processing (NLP) Predictive Modeling Statistical / Mathematical Tools Templates Visualization Natural Language Generation Features Business Intelligence Chatbot CRM Data Analysis and Reports Email Marketing Financial Reporting Multiple Language Support SEO Web Content
Integrations Gemini Gemini 1.5 Flash Gemini 1.5 Pro Gemini 2.0 Gemini 2.0 Flash Gemini Advanced Gemini Nano Gemini Pro Google Cloud AutoML Google Cloud Platform Google Cloud Speech-to-Text Google Cloud Vision AI Neota OpenResty Pipedream PubNub TiMi Unremot Vertex AI n8n Show More Integrations View All 16 Integrations	Integrations Gemini Gemini 1.5 Flash Gemini 1.5 Pro Gemini 2.0 Gemini 2.0 Flash Gemini Advanced Gemini Nano Gemini Pro Google Cloud AutoML Google Cloud Platform Google Cloud Speech-to-Text Google Cloud Vision AI Neota OpenResty Pipedream PubNub TiMi Unremot Vertex AI n8n Show More Integrations View All 4 Integrations
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