MonkeyLearn
No-code text analytics
Overview
MonkeyLearn extracts insights from unstructured text with no-code ML at $299/month for the Team plan. Best for SaaS companies analyzing user feedback, e-commerce brands monitoring product reviews, and market research firms processing surveys at scale. Pre-trained and custom models cover text classification, sentiment analysis, topic and keyword extraction, and entity recognition, and training a custom model only requires uploading examples and labeling data while the platform handles the ML pipeline automatically. Integrations with Zendesk, Freshdesk, Google Sheets, Zapier, and Slack enable automated workflows: support teams tag and route tickets by topic and sentiment, while marketing teams analyze survey responses, product reviews, and social media mentions to surface trends and customer pain points. A visual dashboard monitors results in real time with customizable charts and filters, and custom business templates adapt classification to specific industry terminology. MonkeyLearn fits companies of all sizes that need to process large volumes of text data efficiently without writing a single line of code.
Key Features
Pros
- +No coding required
- +Pre-trained models available
- +Good integrations
- +Clear visualizations
Cons
- -Expensive beyond free tier
- -Limited free queries (300/mo)
- -Models need training data
- -Narrow text analytics focus
Best For
Integrations & Compatibility
Frequently Asked Questions
What does the free MonkeyLearn plan include?
The free plan covers the platform with a cap of 300 queries per month, which our review flags as limited. It is enough to test classifiers and see how sentiment or topic extraction handles your text, but production volumes push you to Starter at $299 per month. Treat the free tier as an evaluation window rather than a permanent home for a live workflow.
Why is MonkeyLearn considered expensive?
The jump from free to Starter at $299 per month is steep for individuals, and our cons list names the pricing directly. The platform earns its keep for teams processing thousands of customer messages where no-code setup avoids hiring data scientists, but solo users with light volume usually find better value elsewhere. Run your monthly query math before committing.
How does MonkeyLearn sentiment analysis work?
You can use pre-trained sentiment classifiers immediately or train a custom model by uploading examples and labeling them, with the machine learning pipeline handled for you. Because the platform is focused on text analytics, results depend on how well your training examples match your real messages, so budget time for that labeling step on custom models.
Can I send MonkeyLearn results to a spreadsheet?
Yes, Google Sheets and Excel are both listed integrations, alongside Zapier and an API for custom pipelines. That makes it practical to pipe classification results into the reporting your team already uses, for example tagging support tickets and watching sentiment trends land in a sheet your managers already open.
What can MonkeyLearn not do?
The scope is deliberately narrow: text analytics only, so no image, audio, or document generation. Our cons also note models need training data to perform well on your specific domain. If you need broader automation around the analysis, pair it with Zapier; if you need different AI workloads entirely, a general platform is a better fit.
What is MonkeyLearn?
MonkeyLearn is a no-code AI platform for text analysis and data visualization. It allows users to build custom machine learning models for text classification, sentiment analysis, and keyword extraction without writing code.
How much does MonkeyLearn cost?
MonkeyLearn offers a Starter plan at $299/month for team use. The Team plan at $599/month adds more features. Enterprise plans with custom pricing are available. A free trial is available for evaluation.
Do I need coding skills for MonkeyLearn?
No, MonkeyLearn is designed as a no-code platform. You can train custom text analysis models using a visual interface by simply uploading data and labeling examples. The platform handles the machine learning automatically.
What can MonkeyLearn analyze?
MonkeyLearn can analyze customer feedback, support tickets, survey responses, social media comments, product reviews, and any other text data. It performs sentiment analysis, topic classification, and entity extraction.
Does MonkeyLearn integrate with other tools?
Yes, MonkeyLearn integrates with Google Sheets, Zapier, Excel, Zendesk, and other platforms. It also offers a REST API for custom integrations with your existing business tools and workflows.
MonkeyLearn vs Luminoso for text analysis?
MonkeyLearn is more accessible for non-technical users with its no-code approach. Luminoso offers deeper NLP capabilities for enterprise text analytics. MonkeyLearn is better for quick setup; Luminoso suits complex enterprise text analysis needs.
How do I train a custom model in MonkeyLearn?
You upload examples of your text, label them in the browser, and MonkeyLearn handles the machine learning pipeline automatically, no code required. The platform iterates with you: add more labeled samples, retrain, and watch accuracy climb before deploying the model through integrations like Zendesk, Zapier, or Google Sheets. Pre-trained models cover common jobs such as sentiment analysis, topic classification, and keyword extraction, while custom templates adapt the workflow to your industry terminology, so support tickets, surveys, and reviews all route exactly the way your business needs.
Rating Breakdown
Supported Languages
Data Privacy & Security
SOC 2, GDPR