DataLumio
No-code AI data analysis for qualitative and quantitative research
DataLumio delivers a rare combination: mixed-methods analysis in one place, no code, and a cheap way to start. The credit system is transparent, but heavy users—especially on PDF chat—will hit the 4-file upload cap and burn balance fast. Skip it if you need API access or big-data scale; it's a niche tool, done well.
Verified 4d ago · liveness 51/100 · cite: rightaichoice.com/tools/datalumio
- Mixed-methods researchers coding interview transcripts and running survey statistics side by side
- Students turning class datasets into charts and summaries without learning a stats package
- Small teams wanting one tool for cleaning, analyzing, and reporting data without switching apps
- Consultants and agencies creating presentation-ready dashboards and insight reports
- Users needing API access or programmatic automation
- Advanced machine learning or predictive modeling workflows
- Real-time data streaming or live dashboards
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Skip DataLumio if you need API access for automation, real-time data streaming, big-data processing, advanced machine learning, or if your project requires analyzing more than 4 files in one session.
The 4-file upload cap per analysis can force you into multiple sessions, each potentially consuming additional credits.
DataLumio's pricing is best for individual researchers, students, and small teams who need occasional mixed-methods analysis without a subscription commitment—the $5 Starter pack is a low-cost entry point. For heavier monthly use, Pro at $29/mo gives 150 credits, which is cheaper than subscribing to NVivo or SPSS separately. Enterprise at $100/mo with unlimited credits suits institutions and universities needing high-volume, sales-led support.
In short
DataLumio — No-code AI data analysis for qualitative and quantitative research. Best for Mixed-methods researchers coding interview transcripts and running survey statistics side by side, Students turning class datasets into charts and summaries without learning a stats package, Small teams wanting one tool for cleaning, analyzing, and reporting data without switching apps. Plans from $5/mo.
What people actually say about DataLumio — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
- +No-code platform lowers barrier for non-technical researchers.
- +Unifies qualitative and quantitative analysis in one tool.
- +PDF chat feature enables quick document Q&A.
- +One-click dashboard generation from uploaded data.
- +Supports multiple file formats: CSV, Excel, PDF, DOC.
- −Zero community feedback — no validation of claims.
- −Credit system can be confusing and costly for heavy users.
- −No API or third-party integrations for workflows.
- −Limited support channels not detailed on website.
- −No mobile app — desktop-only for now.
- • Credit consumption per action may be higher than expected
- • No transparent per-credit pricing on main page
Viability Score
How well maintained and how widely used is DataLumio? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- No-code interface for data analysis
- Qualitative theme identification
- Quote extraction from transcripts
- Sentiment analysis on text
- Quantitative statistical summaries
- Automated data cleaning with change log
- Interactive data visualization dashboard
- PDF chat (ask questions, summarize, analyze visual areas)
- Report generation with export to Docx
- Image generation for visual aids
- Upload CSV, Excel, PDF, DOC files
- Google Drive integration
- Encrypted storage (at rest and in transit)
- Controlled team access
- Credit-based usage tracking
About DataLumio
DataLumio is a no-code AI platform for data analysis, built for researchers, analysts, students, and business teams who need to turn raw data into clear insights without writing formulas or code. Upload CSV, Excel, survey exports, or PDF reports, and the platform guides you through cleaning, analyzing, and visualizing in minutes, replacing the usual stack of spreadsheets, stats software, and design tools with one connected workspace. Everything runs on a transparent credit system—analysis reports, data cleaning, and dashboards each cost 10 credits per request; PDF chat is 1 credit per question; image generation runs 5 credits per image. Plans start with a $5 one-time Starter pack (25 credits) and scale to monthly Standard ($10/50 credits), Pro ($29/150 credits), and Enterprise ($100, unlimited, sales-led) tiers, with the same credit rates across all tiers. Uploads are capped at 4 files per analysis, and reports export to Docx. For mixed-methods work, DataLumio runs qualitative and quantitative analysis side by side on one dataset. You can auto-code interview transcripts into themes with attached sentiment, pull traceable quotes, and run descriptive and inferential statistics—correlation, trend, significance—from the same file. Every action is logged, and dashboards stay linked to source data so charts and report text always match. Data protection is a stated priority: files are encrypted in transit and at rest, access is controlled per team member, and DataLumio claims it does not use uploaded data to train or fine-tune AI models. It's SOC-2 targeted and based in London. Compared to piecing together NVivo, Excel, and PowerPoint, DataLumio offers a simpler, one-stop path from messy raw file to presentation-ready dashboard—ideal for those who want research-grade outputs without the learning curve.
Behind the Verdict
DataLumio is a focused, no-code AI analysis tool that carves out a clear niche: mixed-methods research. It's a genuinely different proposition from most AI chatbots or data tools because it handles both qualitative coding and quantitative statistics on the same dataset, in the same workspace. That's a workflow that traditionally requires two separate tools—NVivo for coding transcripts and Excel/SPSS/R for stats—plus a third for visualization. DataLumio collapses that into one pass, which is a real time-saver for researchers, students, and small teams who don't want to learn a stats package. The credit system is refreshingly transparent: every feature has a fixed credit cost, and they don't hide the rates on separate pricing pages. Analysis reports, cleaning, and dashboards each run 10 credits per request; PDF chat is 1 credit per question; image generation is 5 credits. That makes it easy to predict spend, but it also means heavy users will burn through credits fast. The 4-file upload cap per analysis is a hard limit that could sting if you're working with a large corpus of interviews or a big survey dataset. Compared to a general-purpose tool like ChatGPT or a stats platform like SPSS, DataLumio offers a more structured workflow—upload, clean, analyze, visualize, export—with research-grade outputs like theme coding and significance tests. It's not a raw LLM wrapper; it has a real data-cleaning pipeline, a dashboard builder, and a report generator. But it's also not a replacement for a full-featured stats package like R or SPSS if you need heavy custom modeling. It sits in a sweet spot for mixed-methods research, student projects, and small-team business reporting. Where it fits: researchers coding interviews and running survey stats in one place, students turning datasets into charts for class, consultants creating presentation-ready dashboards, and non-profits needing affordable no-code analysis. Where it doesn't: API-driven automation, real-time data streaming, big-data pipelines, or projects requiring more than 4 files per analysis session.
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Real-world workflow fit
Concrete scenarios for the personas DataLumio actually fits — and what changes day-one when you adopt it.
Uploading interview transcripts and survey responses
Outcome: Auto-code transcripts into themes with sentiment, run statistical tests on survey data, and generate a dashboard with an insight report—all in one workspace.
Turning a messy CSV of customer feedback into a presentation
Outcome: Clean the file automatically, group feedback into themes with sentiment, chart the trends, and export a polished dashboard ready for a client meeting.
Analyzing a class dataset for a thesis
Outcome: Upload a spreadsheet, run descriptive and inferential statistics, create charts, and export a written summary without learning a stats package.
Use Cases
- Upload interview transcripts and generate thematic summaries with supporting quotes.
- Clean messy CSV files by removing duplicates and empty rows before analysis.
- Create interactive dashboards from survey data to visualize trends.
- Chat with a long PDF report to quickly extract key findings.
- Run statistical analysis on spreadsheet data and export charts for presentations.
- Analyze open-ended survey responses to identify common sentiment and patterns.
Limitations
- DataLumio uses a credit-based system where analysis reports, data cleaning, and dashboards each cost 10 credits per request, image generation costs 5 credits, and PDF chat costs 1 credit per text question.
- Upload is limited to 4 files per analysis.
- The free plan includes 25 one-time credits, while the Enterprise plan at $100 per month offers unlimited credits.
as of 2026-08-19
Verification history
We have re-verified DataLumio 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published DataLumio tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Starter
$5 one-time
Ideal for
First-time users, students, and individuals who want a one-time, low-cost way to test the platform or run lighter analysis tasks without a subscription.
What this tier adds
Starting tier: $5 one-time for 25 credits, with all core features (analysis reports, cleaning, dashboards, PDF chat, image gen) but a limited balance.
Standard
$10/mo
Ideal for
Freelancers, individual researchers, and small teams needing regular monthly access with 50 credits to cover recurring data analysis work.
What this tier adds
Adds a monthly subscription and 50 recurring credits per month, versus the one-time 25 credits on Starter.
Pro
$29/mo
Ideal for
Researchers and small teams with heavier monthly usage—frequent analyses, multiple projects, or ongoing research workflows that would exhaust Standard.
What this tier adds
Triples the monthly credit allowance from 50 to 150, giving more room for frequent analysis without running out.
Enterprise
$100/mo
Ideal for
Organizations, institutions, universities, and teams with high-volume needs requiring large-scale use, stronger support, and a dependable setup across multiple users.
What this tier adds
Offers unlimited credits plus priority support and SLA, versus the fixed credit caps on lower tiers.
Where the pricing makes sense
The company stage and team size where DataLumio's pricing actually pencils out — and where peers do it cheaper.
DataLumio's pricing is best for individual researchers, students, and small teams who need occasional mixed-methods analysis without a subscription commitment—the $5 Starter pack is a low-cost entry point. For heavier monthly use, Pro at $29/mo gives 150 credits, which is cheaper than subscribing to NVivo or SPSS separately. Enterprise at $100/mo with unlimited credits suits institutions and universities needing high-volume, sales-led support.
Setup time & first value
How long it actually takes to get something useful out of DataLumio — broken out by persona, not the marketing-page minute.
Most users can upload a file, run an initial cleaning, and get a first analysis report within 10-15 minutes. Creating a dashboard takes another 5-10 minutes. The main variable is how much time you spend reviewing the automated output for accuracy.
Switching to or from DataLumio
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Excel + NVivo: Export your coded interviews and survey stats, then upload the raw files directly to DataLumio and let it re-run the analysis.
- ↗To NVivo: Export your thematic codes and quotes from DataLumio reports, then re-import into NVivo for deeper qualitative analysis.
Integrations
Resources & Guides
Tutorials & Learning
AI-powered research platform that turns raw data into clear insights, reports, & visuals in minutes.
DataLumio
From chaos to clarity — automated data cleaning at your fingertips. #SmartDataCleaning
DataLumio
Turn Complex Research Data into Clear Results Using DataLumioAcces the too from description
Dr Rizwana Mustafa
Official links
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