Best Text Analysis Software

PlagiarismRemover.AI is an AI-powered platform that rewrites copied or AI-generated content to remove plagiarism while preserving the original meaning, structure, and readability. Instead of simple word swapping, it produces context-aware rewrites that read naturally and are designed to pass major plagiarism and AI-detection tools.

It handles essays, research papers, reports, blog posts, marketing copy, and more, supports 16 languages, and includes an AI humanizer for refining machine-generated text. Because it runs in the browser and is optimized for mobile, users can clean up content on any device without installing software. A free tier makes it accessible to students, writers, educators, and professionals who need original, submission-ready content.

Medallia Experience Cloud is an enterprise experience management platform that captures customer and employee feedback across surveys, calls, chat, video, social media, and digital channels, then applies AI to turn that data into action. Its analytics include text, speech, and acoustic analysis, plus generative AI features such as an Insights Assistant for natural language queries, a Smart Topic Builder for automating text analytics rules, Root Cause Assist for explaining metric changes, and Smart Response for drafting personalized replies to feedback.

Medallia prices using an Experience Data Record model, an annual tiered structure based on the volume and type of interaction data processed rather than a flat per-seat fee, and no dollar figures are published; prospective customers must contact sales. It is designed for large organizations running enterprise-wide experience programs and typically involves a lengthy implementation with professional services support.

Kapiche is a text analytics platform for CX, product, and support teams that uses unsupervised machine learning to automatically detect themes in customer feedback without manual code frames. Its AI Auto Themes feature identifies topics without human input, and the Storyboard visualization combines sentiment, NPS, and segmentation widgets to help teams reach insights faster. Kapiche combines structured and unstructured data from multiple sources, including surveys and support interactions, and supports real-time multilingual translation.

Kapiche prices by data usage: one Data Unit equals one row of uploaded data. The published Bronze tier costs $1,060 per month for up to 50,000 rows and 10 fields per project, with 2 Creator, 5 Explorer, and unlimited Viewer seats. Higher Silver, Gold, and Custom tiers scale rows, fields, data sources, and seats but require contacting sales for pricing. A free trial is available.

Hugging Face is a platform where the machine learning community collaborates on models, datasets, and applications. It hosts more than 2 million models, 1.5 million datasets, and over a million Spaces (hosted AI apps), and maintains the widely used Transformers library for loading and running models like BERT and GPT with a few lines of code. Spaces let developers share interactive Gradio, Streamlit, or Docker based demos, and Inference Endpoints and Inference Providers support production model deployment.

The Free plan includes 100GB private storage, community ZeroGPU access, and a small monthly inference credit. Paid plans are PRO at $9 per month, Team at $20 per user per month, and Enterprise at $50 per user per month, each adding more storage, inference credits, ZeroGPU quota, and features like SSO, audit logs, and dedicated support. Compute for Spaces and Inference Endpoints is billed separately and usage based.

spaCy is a free, open-source Python library for natural language processing, built by the company Explosion. It provides tokenization, part-of-speech tagging, dependency parsing, named entity recognition, lemmatization, and rule-based matching, along with more than 80 pretrained pipelines covering 24+ languages, including CNN-based and transformer-based models. It supports GPU acceleration, custom pipeline training, and visualizations through its displaCy tool.

spaCy is released under the MIT license, meaning it is free for personal, academic, and commercial use with no feature restrictions. Explosion, the company behind spaCy, generates revenue through separate paid products such as Prodigy, a commercial annotation tool, plus enterprise deployment and consulting services, but the spaCy library itself carries no license fee.

ParallelDots is an AI company best known today for ShelfWatch, a cloud based image recognition platform that analyzes photos of retail shelves to track on shelf availability, planogram compliance, and pricing for CPG brands and retailers. The company also offers Saarthi for rapid AI model training and SmartGaze for eye tracking research, and reports coverage of 50+ countries and 2.5 million retail outlets.

ParallelDots originally built a suite of text analytics APIs (sentiment, NER, keyword extraction, sarcasm detection) which it moved to a separate branded site, Komprehend.io. That site was unreachable at the time of research, so current availability and pricing of the text APIs could not be verified. ShelfWatch pricing is custom and quote based.

Text iQ is the text and sentiment analytics module built into the Qualtrics Experience Management platform, used to analyze open-ended survey responses and other unstructured feedback. It automatically assigns sentiment and topics to individual comments, lets users build topics by searching related terms or choosing from a recommended and shared topic library, and displays results in word clouds and trend tables. An Advanced Text iQ tier adds cross-lingual machine learning models that score responses for actionability, effort, emotion, and emotional intensity.

Text iQ is not sold as a standalone product; it is bundled within Qualtrics CoreXM, CustomerXM, and EmployeeXM licenses, and Qualtrics does not publish a public price list, requiring a sales conversation for a quote. It supports responses in fourteen languages and targets enterprise research, CX, and HR teams using the broader Qualtrics platform.

Relative Insight is a text analytics platform built around comparative linguistics, meaning it works by contrasting two sets of language data, such as this year versus last year or promoters versus detractors, to surface statistically significant differences in words, phrases, topics, and emotion. It analyzes survey open ends, reviews, transcripts, and social conversations, and presents results through visualizations such as Heartbeat Charts for tracking topic prevalence over time and heatmaps for comparing datasets.

Data can be uploaded via CSV or Excel or connected through an API, and outputs can feed BI tools such as Tableau and Power BI. Pricing is not published; Relative Insight sells custom annual contracts priced by the number of connected data sources and user licenses, with a minimum one year commitment, suiting research, insights, and marketing teams at agencies and larger organizations.

Cohere is an enterprise AI platform providing large language models through an API. Its Command family powers text generation, chat, and agentic workflows, with Command A+ available as a free, Apache 2.0 licensed open-weight model that runs on two H100 GPUs and supports 48 languages. Embed provides multimodal text and image embeddings for semantic search in 100+ languages, Rerank improves search result ranking, and Transcribe handles speech-to-text. Cohere also offers North, an enterprise workplace AI platform, and Compass, a search and discovery system, both custom priced.

API access uses free, rate-limited trial keys for prototyping and pay-as-you-go production keys billed monthly or at a $250 threshold. Command R costs $0.15 per million input tokens and $0.60 per million output tokens; Command R7B costs $0.0375 input and $0.15 output per million tokens. Model Vault, a dedicated managed deployment option, starts at $4-5 per hour per instance for Embed and Rerank models.

Google Cloud Natural Language is Google's managed API for extracting meaning from text using pre-trained machine learning models. It provides sentiment analysis at the document and sentence level, entity recognition and entity sentiment, syntax parsing, and content classification across more than 700 categories. The service supports dozens of languages and can be called via REST or client libraries in Python, Java, Node.js, and other languages, or used through Vertex AI for custom model training with AutoML.

Pricing is usage based and billed monthly per 1,000-character unit, with a free monthly allotment for each feature so teams can experiment at no cost. It suits developers and enterprises building sentiment dashboards, moderation pipelines, or document classification, and generally requires coding to integrate rather than offering a no-code business-user interface.