DataLumio
No-code AI analysis that cleans, codes, and reports on qualitative and quantitative data in one workspace.
If your week disappears into coding transcripts, scrubbing survey exports, and re-formatting the same chart three times, DataLumio's single credit balance is a genuine shortcut: 10 credits per analysis report or dashboard, 1 per PDF chat question, and a $5 one-time pack to test it on a real dataset. The mixed-methods pitch holds up because qualitative coding and quantitative statistics run against the same upload. The catch is the 4-file-per-analysis upload cap on every tier and the running cost of PDF chat on 25-50 credit balances. If you need an API-driven pipeline, live streaming dashboards, or predictive modelling, look at a code-first stack instead.
Verified 7d ago · liveness 75/100 · cite: rightaichoice.com/tools/datalumio
- Mixed-methods researchers coding transcripts and running 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
- Consultants and agencies producing presentation-ready dashboards and insight reports
- Users needing API access or programmatic automation
- Advanced machine learning or predictive modelling workflows
- Real-time data streaming or live dashboards
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Skip DataLumio if your workflow needs API-driven or scheduled analysis, live data streams, or more than 4 files in a single analysis, since that upload cap applies on every published tier including the $100/mo Enterprise plan.
Every credit is spendable but not refundable: a 10-credit analysis report or dashboard consumes a fifth of the $10/mo Standard allowance in one click, so experimenting is expensive on small plans.
DataLumio sits at the cheap end of research analysis software: $5 one-time for 25 credits, $10/mo billed monthly for 50, $29/mo billed monthly for 150, or $100/mo billed monthly unlimited. That undercuts the typical NVivo licence cost by a wide margin, but it is priced per analysis action rather than per seat, so teams running many report-level operations will spend more than a $29/mo sticker implies.
In short
DataLumio — No-code AI analysis that cleans, codes, and reports on qualitative and quantitative data in one workspace. Best for Mixed-methods researchers coding transcripts and running 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. Plans from $5.
What people actually say about DataLumio — is it worth it?
We scanned public community sources for DataLumio on Sep 24, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 2 of the posts we fetched could be positively tied to DataLumio. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
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: October 2026
How we score →Key Features
- No-code data analysis for qualitative and quantitative data in one workspace
- Upload CSV, Excel, survey exports, PDF reports and DOC files
- Automated data cleaning for duplicates, missing values and mismatched fields
- Qualitative theme identification and coding from interview transcripts
- Quote extraction with traceable source references
- Sentiment analysis on open-text responses
- Quantitative descriptive and inferential statistics
- Correlation and trend analysis
- Interactive data visualization dashboard
- PDF analyser: chat with PDF documents (1 credit per text question)
- Automated report generation with Docx export
- Image generation for visual aids (5 credits per image)
- Shared credit balance with transparent per-action costs
- Upload 4 files per analysis
- Encryption in transit and at rest, per-team-member access control
About DataLumio
DataLumio is a no-code analysis platform for researchers, analysts, students, and business teams who need to turn raw files into findings without writing formulas. You upload CSV, Excel, survey exports, DOC, or PDF reports, then clean the data, run analysis, and build dashboards in one connected workspace rather than jumping between a spreadsheet, a stats package, and a slide deck. Qualitative and quantitative work sits side by side: the platform auto-codes interview transcripts into themes, extracts traceable quotations, and scores sentiment, while also producing descriptive and inferential statistics including correlation and trend analysis on the same dataset. Its PDF analyser lets you chat with long research documents, and finished work exports to Docx with dashboards tied back to the underlying analysis. Pricing uses one shared credit balance across features: analysis reports, data cleaning, and dashboards each cost 10 credits per request, image generation 5 credits, and PDF chat 1 credit per text question. You start at $5 one-time for 25 credits, then $10/mo for 50 credits (Standard, billed monthly), $29/mo for 150 credits (Pro, billed monthly), or $100/mo unlimited (Enterprise, billed monthly, sales-led). Uploads are capped at 4 files per analysis on every published tier. Data is encrypted in transit and at rest, access is controlled per team member, and DataLumio states uploaded data is not used to train AI models.
Behind the Verdict
DataLumio positions itself against the three-tool chain most researchers actually live in: a spreadsheet for cleaning, a stats package for numbers, and a design tool for the charts. The four-step flow it documents — upload, clean, analyze, visualize/report — is not novel in concept, but doing all four on one file with one credit balance is the differentiator worth testing. Strengths. The qualitative side is the most useful piece for interview-heavy work: automated theme coding, quote extraction with traceable source references, and sentiment analysis on open text, which DataLumio frames (fairly) as a first-pass starting point rather than a replacement for researcher judgement. The quantitative side covers descriptive and inferential statistics, correlation and trend analysis on the same dataset, which is what mixed-methods projects usually can't do without exporting between tools. PDF chat at 1 credit per text question is cheap relative to the 10-credit reports, so document triage is the most efficient use of a small balance. Reports export to Docx and dashboards stay tied to the source data, which reduces the re-work of updating a slide when a number moves. Weaknesses. Uploads are capped at 4 files per analysis across Starter, Standard, Pro and Enterprise. On a 25-credit Starter pack that is roughly two analysis reports plus change, so real projects will consume credits quickly and the $29/mo Pro tier's 150 credits (15 report-level operations) is the realistic working tier for ongoing research. The platform is upload-based, so it suits batch work, not live data. There is no API access documented in the scrape for programmatic automation, and the site does not name any underlying AI model. Where it fits. Thesis and dissertation work, agency and consultancy insight reports, non-profit survey and feedback analysis, and small teams who want one accountable place for cleaning, analysis and reporting. Where it doesn't. Teams with warehouse-scale or streaming data, anyone needing a scheduled pipeline, and analysts who want to write their own code against the results. DataLumio is a well-scoped niche tool done at a low entry price; judge it on the credit maths of your own project volume rather than on feature breadth.
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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.
Uploads 12 interview transcripts in batches of 4, runs theme coding and sentiment on each, pulls traceable quotes into the literature discussion, then runs descriptive statistics on the paired survey export from the same account.
Outcome: First thematic pass with sourced quotations in an afternoon instead of a week of manual coding, paid for with the $5 one-time 25-credit Starter pack.
Cleans a messy survey export by removing duplicates and empty rows (10 credits), builds a data visualization dashboard (10 credits), chats with the client's previous PDF report to pull benchmark figures (a few credits), then exports the finished write-up to Docx.
Outcome: One presentation-ready dashboard and report from a single credit balance on the $29/mo billed-monthly Pro tier, with no export between spreadsheet, stats tool and slide deck.
Uploads open-ended feedback responses alongside programme survey scores, runs sentiment analysis on the free-text answers and correlation analysis on the scores to see where dissatisfaction clusters.
Outcome: Evidence-backed findings for a funder report at a price a small non-profit can absorb, using the shared credit balance rather than three separate tool subscriptions.
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.
- Code thesis or dissertation datasets qualitatively and quantitatively in one account.
Limitations
- DataLumio runs on a shared credit balance: analysis reports, data cleaning and dashboards each cost 10 credits per request, image generation 5 credits, and PDF chat 1 credit per text question.
- Uploads are capped at 4 files per analysis on every published tier, including Enterprise.
- At $5 one-time for 25 credits, that is roughly two report-level operations; the $29/mo Pro tier's 150 credits are the practical working allowance for ongoing projects.
- The platform is upload-based, so it fits batch analysis rather than live or streaming data, and the site does not name any underlying AI model.
as of 2026-10-04
Verification history
We have re-verified DataLumio 9 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-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
- — 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
Showing the 6 most recent of 9 verification passes.
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
Students and individuals with a single small project or occasional analysis who want to test the platform before subscribing.
What this tier adds
Starting tier: $5 one-time for 25 credits — roughly two 10-credit report-level operations, no recurring commitment.
Standard
$10/mo billed monthly
Ideal for
Individual researchers and freelancers who analyze data regularly but don't need a large monthly allowance.
What this tier adds
Adds a monthly 50-credit allowance (billed monthly at $10) over the one-time Starter pack, so usage replenishes each month.
Pro
$29/mo billed monthly
Ideal for
Researchers and small teams who need regular, deeper analysis across multiple projects per month.
What this tier adds
Triples the monthly allowance to 150 credits (billed monthly at $29), enough for around 15 report-level operations.
Enterprise
$100/mo billed monthly
Ideal for
Organizations and institutions with high-volume analysis needs that want an SLA and priority support.
What this tier adds
Replaces the credit allowance with unlimited credits (billed monthly at $100) and adds priority support and an SLA.
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 sits at the cheap end of research analysis software: $5 one-time for 25 credits, $10/mo billed monthly for 50, $29/mo billed monthly for 150, or $100/mo billed monthly unlimited. That undercuts the typical NVivo licence cost by a wide margin, but it is priced per analysis action rather than per seat, so teams running many report-level operations will spend more than a $29/mo sticker implies.
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.
Expect 10-20 minutes to first output: sign up, upload up to 4 files per analysis, and run your first 10-credit analysis report or data clean. Students and occasional users can stay on the $5 one-time 25-credit Starter pack to test the whole flow before committing to the $10/mo billed-monthly Standard plan. Reaching a polished dashboard and Docx export takes longer because each dashboard and
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 NVivo: export coded passages and source documents, then re-run theme coding in DataLumio and keep your original coding as the review comparison.
- →From Excel: upload the workbook directly, let the automatic cleaning step handle duplicates and missing values before analysis.
- →From manual transcript review: batch transcripts four files at a time to stay within the per-analysis upload cap and generate a first-pass coding.
- →From a PDF-only workflow: move reference reports into PDF chat (1 credit per text question) instead of copying passages into a separate notes app.
- ↗To a code-first stats stack (R, Python, SPSS): export your cleaned data and Docx reports, then rebuild the statistical models where you control the method.
- ↗To a BI tool: take the exported dashboard data into Power BI or Tableau if you need live connections and scheduled refreshes.
- ↗To NVivo or ATLAS.ti: carry your extracted quotes and theme list across for teams that require a dedicated qualitative coding environment.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “DataLumio”, and we withheld 5: 5 could not be judged, because “DataLumio” is a single word that other videos use for other things. Showing the 1 we can prove is about DataLumio.
Official links
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