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Data Normalizer vs Make
Visual workflow builder, not AI-driven data normalization
Which to pick
Pick Data Normalizer if you want…
- AI-powered data cleaning for spreadsheets
- Integrations with CSV or Excel (on Data Normalizer's list, not Make's)
Pick Make if you want…
- Visual AI workflow automation
- Complex workflow orchestration
- Integrations with OpenAI (ChatGPT, Whisper), HubSpot CRM or monday.com (on Make's list, not Data Normalizer's)
Side by side
- What it is
- Data Normalizer:Data Normalizer uses AI to automatically clean and standardize Excel and CSV data in seconds.
- Make:Make is a visual automation platform that lets you build, scale and run AI-driven workflows and agents without code.
- Best for
- Data Normalizer:AI-powered data cleaning for spreadsheets
- Make:Visual AI workflow automation
- Who it’s for
- Data Normalizer:Data analysts, developers, and anyone who works with CSV/Excel datasets.
- Make:Businesses and teams that need to automate processes across apps, data sources and AI models.
- Pricing
- Data Normalizer:Freemium
- Make:Freemium
- Plans
- Data Normalizer:Free $0
- Make:Free $0 · Core $12 per month · Pro $21 per month · Teams $38 per month
- Works with
- Data Normalizer:CSV, Excel
- Make:OpenAI (ChatGPT, Whisper), HubSpot CRM, monday.com, NetSuite, Salesforce, Slack, Canva, Perplexity AI
Data Normalizer features
- Typo correction. Detects and fixes spelling mistakes such as "serbices" → "services".
- Shortcut expansion. Normalizes abbreviations like "Ltd." to full forms.
- Capitalization consistency. Unifies case differences, e.g., "Apple" vs "APPLE".
- Synonym handling. Maps equivalent terms such as "Attorney" ↔ "Lawyer".
- Number format standardization. Converts varied numeric formats (1,000, 1000, 1k) to a consistent style.
- Excel support. Processes both CSV and Excel files, with priority processing for paid credits.
Make features
- No-code visual builder. Design workflows with drag-and-drop, prompts or code.
- 3,000+ integrations. Connect to thousands of apps and AI models, including custom apps.
- AI agents & toolkit. Create and manage AI agents and use built-in AI tools in any plan.
- Scenario scheduling. Run workflows on minute-level schedules with unlimited active scenarios on higher plans.
- Enterprise security. GDPR, SOC 2/3 compliance, encryption, SSO and on-prem agent support.
- Custom code execution. Run JavaScript or Python within workflows for advanced logic.
- Team collaboration. Roles, private spaces and shared scenario templates for teams.
- Execution monitoring. Real-time visual monitoring, log search and analytics dashboard.
Data Normalizer vs Make FAQ
Is Data Normalizer or Make free?+
Data Normalizer has a free plan and paid plans. Make has a free plan; paid plans start at $12/month (Core).
Do Data Normalizer and Make integrate with the same tools?+
Their integration lists don't overlap: Data Normalizer lists CSV and Excel; Make lists OpenAI (ChatGPT, Whisper), HubSpot CRM, monday.com, NetSuite and 5 more.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.

