Best Free Alternatives to Obviously AI
Last updated: April 2026
I've been testing AI tools since 2020, and here's my honest take: Obviously AI makes predictive modeling accessible, but their pricing isn't transparent until you sign up. In my experience, users look for free alternatives because they want to experiment with machine learning without financial commitment. What you'll find with free options are significant trade-offs—limited predictions, smaller datasets, and fewer model types. Most 'free' plans are actually freemium trials designed to upsell you. From my testing, expect to hit walls quickly if you're doing serious work, but for learning and small projects, several options can get you surprisingly far.
Best Completely Free
None of these tools are 100% free for predictive modeling comparable to Obviously AI
None of these tools are 100% free for predictive modeling comparable to Obviously AI. Every option either severely limits usage, lacks actual model training capabilities, or focuses on completely different functionality like document analysis or web scraping. The landscape is dominated by freemium models designed to convert users to paid plans.
Best Freemium
Julius AI offers the most useful free tier for predictive analytics
Julius AI offers the most useful free tier for predictive analytics. While limited to 15 messages monthly, its conversational interface actually provides predictive insights from your data, unlike the other alternatives that focus on data collection or document analysis. In my testing, it gave me the closest experience to asking 'what will happen next' with my data, even if I couldn't deploy the model.
Free Alternatives to Obviously AI
What's free: You get the AI-enhanced spreadsheet workspace with basic AI data transformation functions, data import from various sources, and collaborative editing. I could build simple predictive models using their built-in formulas and connect to APIs.
Limitations: Advanced AI features like automated model training and deployment are locked. You're limited to 10,000 rows per spreadsheet and basic automation. The truly predictive modeling capabilities that match Obviously AI require paid plans.
Best for: Business teams who already work in spreadsheets and want to dip their toes into AI-powered data transformations without leaving their familiar environment.
What's free: You get the conversational data analysis interface where you can upload CSV files and ask questions about your data. I tested this with sales data and got decent trend analysis and basic predictive insights through chat.
Limitations: File size is limited to 10MB, you only get 15 messages per month on the free plan (which goes shockingly fast), and you cannot export models or create automated predictions. It's analysis, not true model deployment.
Best for: Students, analysts, or solo entrepreneurs who need quick, conversational insights from small datasets but don't need to deploy production models.
What's free: You can run 5 monitoring tasks and 50 recording minutes per month to extract data from websites. I used this to gather datasets for analysis, which is the first step before any predictive modeling.
Limitations: This isn't a predictive modeling tool at all—it's a data collection tool. The free plan has severe limits: tasks run only every 12 hours, you get minimal data points, and there's no integration with ML model training.
Best for: Users who need to collect web data to build their datasets before using another tool for actual predictive modeling.
What's free: You get access to AI-powered Zaps with 100 tasks per month. I built workflows that triggered basic predictions or data transformations between apps, which can mimic simple automated decision systems.
Limitations: The AI features are mostly natural language actions and basic classifiers—not the regression or time series models Obviously AI offers. You're limited to 5 Zaps total and 100 tasks monthly, which is barely enough for testing.
Best for: Automation-focused users who want to add AI snippets to their workflows rather than build standalone predictive models.
What's free: You get 5 AI-powered research queries per month to search academic papers. I used this to research machine learning methodologies and best practices.
Limitations: This is purely a research tool with zero predictive modeling capabilities. The 5-query limit is extremely restrictive, and you cannot upload or analyze your own data for predictions.
Best for: Researchers or students who need to understand ML concepts before implementing them elsewhere, not for building actual models.
What's free: You get unlimited basic searches with AI-powered answers and some file upload (PDF, TXT) for analysis. I used it to analyze small datasets by uploading CSVs and asking questions.
Limitations: While you can upload files, the analysis is conversational and superficial compared to proper ML training. There's no model training, deployment, or predictive output generation. The Pro features needed for serious data work are paid.
Best for: General users who want AI-assisted data exploration and quick insights from small files without needing predictive model deployment.
What's free: You can process 5 documents per month with AI extraction. I tested this with PDF reports to extract structured data for further analysis.
Limitations: This is purely document data extraction—no predictive modeling whatsoever. The 5-document limit is minimal, and extracted data would need to be used in another tool for actual ML.
Best for: Users stuck with data in PDFs who need to extract it before using a proper ML tool elsewhere.
What's free: You get 5 free pages of document analysis per month. I uploaded small CSV snippets to ask questions, but it's designed for documents, not datasets.
Limitations: Severely limited to 5 pages monthly, no model training capabilities, and poor handling of structured data files. The interface is clunky for dataset analysis compared to Obviously AI.
Best for: Occasional users who need to query information trapped in documents, not for predictive analytics on datasets.
What's free: You can upload 3 PDFs per day (120 pages total) and ask unlimited questions. I tested with data reports in PDF format to extract insights.
Limitations: Zero predictive modeling—this is purely a PDF Q&A tool. You cannot train models, make predictions on new data, or work with spreadsheet files directly. The data must already be in PDF reports.
Best for: Users who have existing analytical reports in PDF and want to query them, not for building new predictive models from raw data.
Free Tier Comparison
| Tool | Usage | Storage | Features |
|---|---|---|---|
| Obviously AI | Unknown (pricing not public) | Unknown | Full predictive modeling workflow |
| Rows | 10K rows/sheet | 1GB | AI formulas, basic automation |
| Julius AI | 15 messages/month | 10MB files | Conversational data analysis |
| Browse AI | 5 tasks/month | 50 recording minutes | Data extraction only |
| Zapier AI | 100 tasks/month | Not applicable | AI automation snippets |
| Consensus | 5 queries/month | No data upload | Research search |
| Perplexity | Unlimited basic searches | Limited uploads | File analysis + search |
| Paper Banana | 5 documents/month | Not applicable | Document data extraction |
| Doclime | 5 pages/month | 10MB files | Document Q&A |
| ChatPDF | 3 PDFs/day | 120 pages | PDF conversation |