MonkeyLearn was acquired by Medallia in 2022 and its self-serve NLP platform was wound down in 2023. Speak AI is the modern replacement: sentiment, keywords, entities, and topics out of the box, across audio, video, and text.
Maya R.
Leo T.MonkeyLearn was acquired by Medallia in early 2022, the self-serve platform was wound down in 2023, and as of August 2026 monkeylearn.com redirects to medallia.com. If you exported your data before the shutdown, you can re-analyze it in Speak AI in minutes; if your workflows broke, Speak AI replaces the no-code NLP layer and adds transcription, meeting capture, and conversational AI on top. Here is the direct comparison against what MonkeyLearn offered.
Gerelateerd: The best avoma alternative.
| Functie | Speak AI | MonkeyLearn (as it was) |
|---|---|---|
| Audio-analyse (toon, emotie, energie) | Ja, inbegrepen in elk plan | No, text only |
| Videoanalyse (wat op het scherm staat) | Ja, inbegrepen in elk plan (leest slides en schermen) | No video support in any form |
| Product status (August 2026) | Actively developed | Discontinued; site redirects to Medallia |
| Data types supported | Audio, video en tekst | Alleen tekst |
| Transcriptie | Multi-engine, 100+ languages | Niet beschikbaar |
| Sentimentanalyse | Built in, sentence-level and aggregate | Required training a custom model |
| Trefwoordextractie | Automatisch bij elke upload | Required a custom extractor |
| Herkenning van naamwoorden | Built in, no configuration | Required custom model training |
| Onderwerpdetectie | Automatische onderwerpsclustering | Required a custom classifier |
| AI chat across your data | Claude, GPT, Gemini across your library | Niet beschikbaar |
| AI notetaker for meetings | Automatisch deelnemen aan Zoom, Teams, Meet | Niet beschikbaar |
| Datavisualisatie | Dashboards, woordwolken, trendgrafieken | Basisgrafieken |
| API-toegang | All plans | Retired with the product |
| MCP-tools voor Claude, ChatGPT, Cursor | 100+ tools, 7+ assistenten | Geen |
| Prijzen | Gratis proefperiode, pay-as-you-go, Pro vanaf $20/gebruiker/maand | Was $299/month; no longer purchasable |
MonkeyLearn asked you to build and train classifiers before you could analyze anything. Speak AI delivers the same signals automatically, then goes where a text-only tool never could.
MonkeyLearn only processed text. Speak AI transcribes audio and video files, then runs NLP analysis on the result. One platform handles the entire pipeline from raw recording to structured insight, with no separate transcription tool.
Gerelateerd: Best prompts for text analysis.
With MonkeyLearn, you built and trained custom classifiers and extractors. With Speak AI, you upload a file and get keyword extraction, sentimentanalyse, named entity recognition, and topic detection automatically.
Query individuele bestanden of je volledige bibliotheek in natuurlijke taal: "Wat zijn de belangrijkste klachten in alle klantenoproepen deze maand?" MonkeyLearn had geen conversatieinterface voor het verkennen van gegevens.
MonkeyLearn classified text as positive, negative, or neutral after you trained a model. Speak AI scores sentiment at the sentence level automatically, with aggregate dashboards and trend tracking across all your data.
Speak AI bedient kwalitatieve onderzoekers, market analysts, and business teams analyzing conversations at scale. MonkeyLearn targeted developers building classification into apps.
Speak AI’s AI-notitiemaker joins Zoom, Microsoft Teams, and Google Meet calls automatically. Meetings are transcribed, analyzed, and added to a searchable team archive. MonkeyLearn had no meeting or audio capability.
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.
Transcribe and analyze customer interviews in one platform. Extract themes, track sentiment shifts, and use AI Chat to query across all interviews. MonkeyLearn required separate transcription, then custom model training for each analysis type.
Speak AI provides Twitter-sentimentanalyse and text analysis out of the box. MonkeyLearn required you to build and train custom sentiment classifiers before analyzing any data.
Record sales calls, transcribe them, and extract competitor mentions, objections, and buying signals automatically. Speak AI handles the entire pipeline. MonkeyLearn could not process audio and had no meeting integration.
Onderzoekers coderen kwalitatieve gegevens uit interviews en focus groups. Speak AI's transcriptanalisator processes recordings and extracts themes automatically, with no manual text preparation or classifier training.
Analyseer supporttickets, enquêtereacties en beoordelingsgegevens om productproblemen en functieverzoeken te identificeren. Speak AI's trefwoordextractie en onderwerpsclustering werken onmiddellijk, zonder aangepaste classifier per categorie.
Analyseer YouTube-video’s, webinaropnamen en video-inhoud met video-sentimentanalyse and keyword extraction. Speak AI transcribes and analyzes video natively; MonkeyLearn could not process video in any form.
MonkeyLearn earned its reputation, and its story deserves an honest telling: what it did well, what happened to it, and where its users land now.
MonkeyLearn deserves real credit: it made machine learning approachable years before every product claimed AI. Teams built custom text classifiers and extractors with no code, wired them into Google Sheets and Zapier, and called a clean REST API. Its free word cloud generator and tutorials introduced thousands of people to text analytics. If it were still available as a standalone product, it would remain a reasonable choice for custom text classification.
Medallia voltooide de overname van MonkeyLearn in het begin van 2022, en tegen 2023 was het standalone self-serve platform afgebouwd. Vanaf augustus 2026 stuurt monkeylearn.com door naar medallia.com, de API is ingetrokken en er is geen manier meer om je aan te melden. De technologie werkt nu in de text analytics binnen de enterprise customer experience suite van Medallia, geschikt voor grote CX programma's maar buiten bereik voor de onderzoekers, analisten en product teams die MonkeyLearn self-serve gebruikten. Die teams belanden op moderne no-code platforms, en Speak AI is het meest gelijkaardige: dezelfde sentiment, keyword, entity en topic workflows, zonder model training nodig.
MonkeyLearn analyseerde wat mensen typten. De rijkste klantsignalen zijn gesproken: calls, interviews, focus groups, demo's. Speak AI is multimodaal. Het transcribeert met meerdere engines, leest toonzetting en emotie in stem via audioanalyse en leest lichaamstaal en wat op het scherm staat via videoanalyse. De woorden, de stem en de beelden samen geven je de volledige context die een alleen-text classifier nooit zag. En die geïntegreerde opname, live vergaderingen, bestandsuploads, een ingebedde recorder en spraakagenten, landen in één doorzoekbaar systeem van waarheid voor je hele team.
Step 1: gather your existing text data. Pull together what you were analyzing in MonkeyLearn: support tickets, survey responses, social media exports, customer reviews, interview transcripts. Speak AI accepts plain text, CSV uploads, and direct paste, with no per-query pricing to plan around. If you were transcribing audio elsewhere before sending text to MonkeyLearn, skip that step entirely and upload the recordings directly.
Step 2: skip the model training. 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. 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: ask the questions you actually have. "What are the top complaints in our Q1 support tickets?" "Which interviews mentioned pricing concerns?" AI Chat draait over je volledige bibliotheek en haalt antwoorden uit elke combinatie van audio, video en tekst. Teams die MonkeyLearn het meest misten, vinden dat AI Chat een breder versie van het probleem oplost dat ze oorspronkelijk met custom classifiers probeerden op te lossen. Begin met de proef to validate the workflow, or Vraag een demo aan and we will walk through your specific use case.
Because Speak AI keeps transcript, audio signal, and screen content together, teams build custom applications on top of the context: dashboards, call scoring rubrics, research coding, and AI-stemassistenten, through the API or the MCP server. That is context engineering in practice: your conversations become structured context that Claude, ChatGPT, and Cursor can query directly. To go deeper on the fundamentals, see what natural language processing is and how Speak AI applies it.
A national sports federation needed text analytics across multilingual interviews, exactly the work MonkeyLearn users know.
“Speak AI hielp ons door het verwerken van uren opgenomen atleet- en coachinterviews in meerdere talen. We konden eindelijk thema’s en sentimentpatronen in al onze kwalitatieve gegevens identificeren in een fractie van de tijd.”
The federation was running multilingual athlete and coach interviews and needed to transcribe field recordings, analyze sentiment across hundreds of sessions, and share findings organization-wide. A text-only classifier tool would have required transcribing elsewhere, training custom models per language, and stitching the results together. Speak AI handled the whole pipeline: uploading recorded files, running NLP analytics across languages, and delivering a shared dashboard that saved the research team weeks of manual analysis.
De API van MonkeyLearn is met het product ingetrokken. De MCP server van Speak AI geeft elke assistent 100+ tools to search, analyze, and act on your full knowledge base, transcripts, audio signals, and screen reads included, in about 60 seconds. No terminal, no npm, no config, backed by a full developer API.
Two honest paths, depending on the shape of your organization.
Speak AI starts free to evaluate and scales by use. MonkeyLearn can no longer be purchased; pricing shown for context, as of August 2026.
Real feedback from analysts, researchers, and operators using Speak AI every day.
Veelgestelde vragen over MonkeyLearn's sluiting en overstap naar Speak AI.
MonkeyLearn werd overgenomen door Medallia, met de deal afgerond in het begin van 2022, en het standalone self-serve product werd in 2023 afgebouwd. Vanaf augustus 2026 stuurt monkeylearn.com door naar medallia.com en de technologie staat nu in Medallia's enterprise customer experience platform. Teams die MonkeyLearn gebruikten voor sentimentanalyse, trefwoord extractie en topic classificatie hebben een vervanging nodig, en Speak AI is het dichtste equivalent met dezelfde no-code workflow plus audio, video en AI Chat mogelijkheden die MonkeyLearn nooit had.
Nee. Het zelfstandige MonkeyLearn-product is niet meer beschikbaar en de website omleidt nu naar Medallia. De oorspronkelijke zelfbedieningsworkflow, waarbij je je aanmelde, aangepaste classifiers bouwde en per query betaalde, is beëindigd en de mogelijkheden ervan zijn alleen toegankelijk via Medallia's enterprise-suite. Speak AI vervangt de zelfbedieningsworkflow en voegt audio, video en AI Chat erbovenop toe.
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 kan niet meer worden gekocht. Voordat het product werd afgebouwd, begonnen de self-serve prijzen op $299 per maand, met custom prijzen voor grotere teams. Speak AI biedt daarentegen een 7-daagse proefperiode, een pay-as-you-go plan zonder maandelijkse vergoeding en een Pro plan van $20 per gebruiker per maand vanaf augustus 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.
Ja. Speak AI biedt een volledige REST API voor transcriptie, NLP-analyse en gegevensverzameling, beschikbaar op elk plan, plus een MCP-server die assistenten zoals Claude, ChatGPT en Cursor 100+ tools over je gegevens geeft. De API van MonkeyLearn is met het product stopgezet, dus elke integratie die erop gebouwd is moet verplaatsen; de API van Speak AI dekt audio- en videoverwerking naast tekst.
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 biedt een proefperiode van 7 dagen zonder creditcard nodig, een betaal-per-gebruik-plan waar je alleen betaalt voor wat je gebruikt, en een Pro-plan van $20 per gebruiker per maand (of $240 per gebruiker jaarlijks gefactureerd) vanaf augustus 2026. Enterprise-plannen voegen white-label-opties, aangepaste AI-agents en volumeprijzen toe.
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.
Sentiment, keywords, entities, topics, and AI Chat across audio, video, and text, with no models to train. Book a free consult and see it on your own data.
English English 
Español
Français
Italiano
العربية
Português do Brasil
Nederlands
Deutsch
עִבְרִית
Русский
日本語
Polski
Čeština
Українська
Slovenščina
Svenska
Ελληνικά
Norsk bokmål
简体中文
Türkçe
Català
Magyar
한국어
Slovenčina
Suomi
