The Best MonkeyLearn Alternative: Speak AI for NLP and Text Analysis
MonkeyLearn shut down in 2023. If you relied on MonkeyLearn for no-code NLP, Speak AI is the modern replacement: text analysis plus transcription, sentiment, named entity recognition, topic detection, and AI Chat with Claude, Gemini, and GPT, all in one platform. No machine learning expertise required.
MonkeyLearn shut down in 2023: what to do if you relied on it
MonkeyLearn was acquired and wound down in 2023, leaving teams that depended on its no-code NLP without a direct path forward. The good news: the no-code NLP category has moved on. Speak AI delivers what MonkeyLearn offered plus the audio, video, and AI Chat capabilities MonkeyLearn never had. Here is how the two compare, on the capabilities MonkeyLearn was known for and the categories that have emerged since.
What this means for you: if you exported your MonkeyLearn data before shutdown, you can re-analyze it in Speak AI in minutes. If your workflows broke when MonkeyLearn went away, Speak AI replaces the no-code NLP layer and adds transcription, meeting capture, and conversational AI on top.
| Feature | Speak AI | MonkeyLearn |
|---|---|---|
| Data Types Supported | Audio, video, and text | Text only |
| Transcription | Multiple engines, 100+ languages | Not available |
| Sentiment Analysis | Built-in, sentence-level and aggregate | Requires custom model training |
| Keyword Extraction | Automatic on every upload | Requires custom extractor setup |
| Named Entity Recognition | Built-in, no configuration needed | Requires custom model training |
| Topic Detection | Automatic topic clustering | Custom classifier required |
| AI Chat | Claude, Gemini, GPT across all data | Not available |
| Ease of Use | Upload and get results immediately | Train models, configure workflows |
| Data Visualization | Dashboards, word clouds, trend charts | Basic charts |
| Pricing | Free tier + plans from $22/month | Free tier + per-query pricing |
| API Access | Full REST API | Full REST API |
| AI Notetaker | Auto-joins Zoom, Teams, Meet | Not available |
Why Speak AI is the modern MonkeyLearn replacement
MonkeyLearn was a developer-oriented tool for building custom text classifiers. Speak AI is a complete NLP platform that works out of the box for teams that need to analyze audio, video, and text without writing code or training models. Six reasons Speak AI is the better next step after MonkeyLearn.
Audio & Video, Not Just Text
MonkeyLearn only processes text. Speak AI transcribes audio and video files, then runs NLP analysis on the resulting text. One platform handles the entire pipeline from raw recording to structured insights, eliminating the need for separate transcription tools.
No Model Training Required
With MonkeyLearn, you build and train custom classifiers and extractors. With Speak AI, you upload a file and get keyword extraction, sentiment analysis, named entity recognition, and topic detection automatically. No machine learning expertise needed.
AI Chat with Multiple Models
Ask questions about your data using Claude, Gemini, or GPT. Query individual files or your entire library. “What are the top complaints across all customer calls this month?” MonkeyLearn has no conversational AI interface for exploring data.
Sentiment Beyond Classification
MonkeyLearn classifies text as positive, negative, or neutral after you train a model. Speak AI provides sentence-level sentiment scoring automatically, with aggregate dashboards and trend tracking across all your data. No training data required.
Built for Researchers and Analysts
Speak AI serves qualitative researchers, market analysts, and business teams who need to analyze conversations at scale. MonkeyLearn targets developers building text classification into apps. Different audiences, different strengths.
Meeting Intelligence Included
Speak AI’s AI notetaker joins Zoom, Microsoft Teams, and Google Meet calls automatically. Meetings are transcribed, analyzed, and added to your searchable archive. MonkeyLearn has no meeting or audio capabilities.
From classifiers and extractors to AI Chat and AI Agents
MonkeyLearn focused on custom-trained classifiers and extractors. Speak AI covers those same use cases out of the box and adds conversational AI on top, so you can query your data the way you already think about it. Here is what that looks like in practice.
Customer Interview Analysis
Transcribe and analyze customer interviews in one platform. Extract themes, track sentiment shifts, and use AI Chat to query across all interviews. MonkeyLearn would require separate transcription, then custom model training for each analysis type.
Social Media Sentiment
Both tools can analyze social text. Speak AI provides Twitter sentiment analysis and text analysis out of the box. MonkeyLearn requires you to build and train custom sentiment classifiers before analyzing any data.
Sales Call Intelligence
Record sales calls, transcribe them, and extract competitor mentions, objections, and buying signals automatically. Speak AI handles the entire pipeline. MonkeyLearn cannot process audio and has no meeting integration.
Academic Research
Researchers need to code qualitative data from interviews and focus groups. Speak AI’s transcript analyzer processes recordings and extracts themes automatically. MonkeyLearn requires manual text preparation and classifier training.
Product Feedback Analysis
Analyze support tickets, survey responses, and review data to identify product issues and feature requests. Speak AI’s keyword extraction and topic clustering work immediately. MonkeyLearn requires building custom classifiers for each category.
Video Content Analysis
Analyze YouTube videos, webinar recordings, and video content with video sentiment analysis and keyword extraction. Speak AI transcribes and analyzes video natively. MonkeyLearn cannot process video in any form.
How to migrate from MonkeyLearn to Speak AI in three steps
If you were a MonkeyLearn customer when it shut down in 2023, your team likely scrambled to find a replacement for sentiment analysis, keyword extraction, and topic classification. Speak AI covers all of that out of the box and adds capabilities MonkeyLearn never had. Here is the move, in three concrete steps.
Step 1: Gather your existing text data
Pull together the text data you were analyzing in MonkeyLearn. Support tickets, survey responses, social media exports, customer reviews, interview transcripts, whatever the source. Speak AI accepts plain text, CSV uploads, and direct paste, and there is no per-query pricing to plan around. If you have audio or video recordings that you were transcribing elsewhere before sending text to MonkeyLearn, you can skip that separate step entirely. Upload the recordings directly to Speak AI and the transcription happens automatically.
Step 2: Skip the model training
With MonkeyLearn, you built and trained custom classifiers and extractors before you could analyze anything. Speak AI removes that step. Upload your data and you immediately get sentiment analysis, keyword extraction, named entity recognition, and topic detection. No training data to label, no model to tune, no API integration work. If your MonkeyLearn workflow depended on a specific custom classifier, the equivalent in Speak AI is usually a built-in feature or a saved AI Chat prompt that runs the same logic across all your data.
Step 3: Use AI Chat to ask the questions you actually have
This is where Speak AI moves past what MonkeyLearn could do. Ask questions about your data in plain language. “What are the top complaints in our Q1 support tickets?” “Which research interviews mentioned pricing concerns?” “Summarize the recurring themes across all our customer calls this month.” AI Chat runs across your entire library and pulls answers from any combination of audio, video, and text. The teams that miss MonkeyLearn the most often realize that AI Chat solves a broader version of the problem they were originally trying to solve with custom classifiers.
Start with the free tier to test the platform with your data, then move to a paid plan once you have validated the workflow. If you want to talk through the migration with someone first, you can book a consult and we will walk through your specific use case.
Teams Trust Speak AI for NLP and Text Analytics
4.9 on G2
“We went from weeks of qual analysis to one day. Easy to use, easy to implement, and the support has been incredible.”
Connor H. Data Analyst, G2 review
“High accuracy, multilingual support, and insightful analysis. Integrations with Google and Zapier make it easy to streamline everything.”
Volker B. COO, G2 review
“I used to spend 45-30 minutes transcribing notes. Now it’s done in seconds, and I’m writing in minutes.”
Ted H. Business Owner, G2 review
“I use Speak in French and English. It saves time and increases the precision of my reports.”
Francois L. Financial Advisor, G2 review
“It joins meetings, records, documents, and summarizes. I don’t miss important points and it saves me a ton of time.”
Ercan T. Business Development, G2 review
“It’s easy to use, and I can actually get in contact with the team behind the product. Valuable to speak to a real human.”
Markus B. Medical Director, G2 review
Frequently Asked Questions
Common questions about migrating from MonkeyLearn to Speak AI for NLP and text analytics.
What happened to MonkeyLearn?
MonkeyLearn was acquired by Medallia in 2022 and the standalone no-code NLP product was wound down in 2023. The underlying technology lives inside Medallia’s enterprise customer experience platform, but the original MonkeyLearn self-serve product, with custom classifier building and per-query pricing, is no longer available to new customers. 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.
Is Speak AI a MonkeyLearn alternative?
Yes. Speak AI provides NLP capabilities including sentiment analysis, keyword extraction, named entity recognition, and topic detection, similar to what MonkeyLearn offered. The key difference is that Speak AI works across audio, video, and text without requiring custom model training, while MonkeyLearn was text-only and required you to build classifiers. For teams that need ready-to-use NLP, Speak AI is the strongest direct replacement for MonkeyLearn.
Can Speak AI replace MonkeyLearn for sentiment analysis?
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. Speak AI’s sentiment analysis works on text files, transcribed audio, and transcribed video. Results include dashboards, trend charts, and the ability to query sentiment patterns through AI Chat.
Does Speak AI support custom text classification the way MonkeyLearn did?
Speak AI takes a different approach. Instead of building custom classifiers, Speak AI uses pre-built NLP pipelines and AI Chat to help you categorize and analyze data. You can ask AI Chat (powered by Claude, Gemini, or GPT) to classify, categorize, or segment your data using natural language instructions. For most use cases, this is faster and more flexible than training custom MonkeyLearn-style models.
Does Speak AI have an API the way MonkeyLearn did?
Yes. Speak AI offers a full REST API for transcription, NLP analysis, and data retrieval. You can integrate Speak AI’s transcription and analysis capabilities into your own applications, similar to how teams used MonkeyLearn’s API. The difference is that Speak AI’s API covers audio and video processing in addition to text analysis.
Can Speak AI analyze social media text?
Yes. Speak AI can analyze any text data including social media posts, survey responses, support tickets, and reviews. The platform provides automatic keyword extraction, sentiment analysis, and topic detection. Speak AI also offers specific capabilities for Twitter sentiment analysis and social listening workflows.
How much does Speak AI cost?
Speak AI offers a free tier and paid plans starting at $22/month. For teams that need both transcription and NLP analysis, Speak AI combines capabilities in a single platform that would otherwise require multiple tools. See Speak AI pricing for current plans and details.
Is MonkeyLearn still available?
The standalone MonkeyLearn product is no longer available. MonkeyLearn was acquired by Medallia in 2022 and the self-serve product was wound down in 2023. The technology lives inside Medallia’s enterprise customer experience suite, but the original self-serve MonkeyLearn workflow, where you signed up and built custom classifiers, has been discontinued. Speak AI replaces that workflow and adds audio, video, and AI Chat on top.
What is the best no-code NLP tool in 2026?
For teams that need no-code NLP across audio, video, and text data, 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. Unlike older tools like MonkeyLearn that require custom model building, Speak AI delivers analysis immediately on any uploaded data.
Ready for NLP That Works Out of the Box? Try Speak AI.
Stop building custom models. Speak AI gives you keyword extraction, sentiment analysis, named entity recognition, topic detection, and AI Chat across audio, video, and text data. No training data needed.
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