The best MonkeyLearn
alternative for
no-code text analysis.

MonkeyLearn was acquired by Medallia, with the deal completed in early 2022, and the standalone self-serve product was wound down in 2023. As of August 2026, monkeylearn.com redirects to medallia.com, and the technology now lives inside Medallia’s enterprise customer experience platform. Teams that used MonkeyLearn for sentiment analysis, keyword extraction, and topic classification need a replacement, and Speak AI is the closest equivalent with the same no-code workflow plus audio, video, and AI Chat capabilities MonkeyLearn never had.

No. The standalone MonkeyLearn product is no longer available, and the website now redirects to Medallia. The original self-serve workflow, where you signed up, built custom classifiers, and paid per query, has been discontinued, and its capabilities are only accessible through Medallia’s enterprise suite. Speak AI replaces the self-serve workflow and adds audio, video, and AI Chat on top.

The best MonkeyLearn alternative depends on what you used it for. For no-code text analysis, sentiment, keywords, entities, and topics with no model training, Speak AI is the most complete replacement, and it adds transcription, audio analysis, and video analysis that MonkeyLearn never offered. Former MonkeyLearn customers inside large customer experience programs may also evaluate Medallia itself, where the MonkeyLearn technology now lives, though it requires an enterprise contract.

MonkeyLearn can no longer be purchased. Before the product was wound down, self-serve pricing started at $299 per month, with custom pricing for larger teams. Speak AI, by comparison, offers a 7-day trial, a pay-as-you-go plan with no monthly fee, and a Pro plan at $20 per user per month as of August 2026.

While it was active, MonkeyLearn was a reputable platform trusted by well-known software teams. Since the product shut down, there is no MonkeyLearn account, API, or data store left to secure, so the question now applies to its successors. Medallia operates enterprise-grade security programs, and Speak AI protects customer data with encryption in transit and at rest, access controls, and privacy-first data handling.

MonkeyLearn was used by customer support, customer experience, market research, SaaS product, and marketing teams to classify tickets, analyze reviews, and track sentiment. Those same industries now run the equivalent workflows in Speak AI, with the addition of audio and video sources such as calls, interviews, and focus groups alongside text.

MonkeyLearn AI was a no-code machine learning platform for text analysis. It let teams train custom classifiers and extractors for sentiment analysis, topic classification, intent detection, and entity extraction, then connect them to tools like Google Sheets and Zapier. The company was acquired by Medallia and the standalone product was discontinued; its closest modern equivalent is Speak AI.

For teams that want sentiment analysis without training models, Speak AI is a leading option in 2026: it scores sentiment automatically at the sentence level and in aggregate, across text, transcribed audio, and transcribed video, and pairs it with keyword extraction, entity recognition, and AI Chat. The right tool depends on your data sources; if most of your insight lives in conversations rather than typed text, a multimodal platform beats a text-only one.

Yes. Speak AI provides the NLP capabilities MonkeyLearn was known for, sentiment analysis, keyword extraction, named entity recognition, and topic detection, without requiring custom model training. It also works across audio and video, while MonkeyLearn was text only. For teams that need ready-to-use, no-code NLP, Speak AI is the strongest direct replacement.

Yes. Speak AI provides automatic sentiment analysis at the sentence level and in aggregate across all your data. Unlike MonkeyLearn, you do not need to train a custom sentiment model. It works on text files, transcribed audio, and transcribed video, with dashboards, trend charts, and the ability to query sentiment patterns through AI Chat.

Speak AI takes a different approach. Instead of building and training custom classifiers, you use pre-built NLP pipelines plus AI Chat powered by Claude, Gemini, or GPT to classify, categorize, or segment data using natural language instructions. For most use cases this is faster and more flexible than training MonkeyLearn-style models, and it needs no labeled training data.

Yes. Speak AI offers a full REST API for transcription, NLP analysis, and data retrieval, available on every plan, plus an MCP server that gives assistants like Claude, ChatGPT, and Cursor 100+ tools over your data. MonkeyLearn’s API was retired with the product, so any integration built on it has to move; Speak AI’s API covers audio and video processing in addition to text.

Yes. Speak AI can analyze any text data including social media posts, survey responses, support tickets, and reviews, with automatic keyword extraction, sentiment analysis, and topic detection. It also offers dedicated tools for Twitter sentiment analysis and social listening workflows.

Speak AI offers a 7-day trial with no credit card required, a pay-as-you-go plan where you only pay for what you use, and a Pro plan at $20 per user per month (or $240 per user billed annually) as of August 2026. Enterprise plans add white-label options, custom AI agents, and volume pricing.

For teams that need no-code NLP across audio, video, and text, Speak AI is the most complete option in 2026. It combines automated transcription, keyword extraction, sentiment analysis, named entity recognition, topic detection, and AI Chat in a single platform, and unlike the older generation of tools such as MonkeyLearn, it delivers analysis immediately with no model building.