Rows vs Softaken PST to EML Converter
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Rows compared with Softaken PST to EML Converter
| Detail | R
Rows | 
Softaken PST to EML Converter |
|---|
| What it does | Your new AI Data Analyst
| Convert Outlook PST emails to universal EML format without Microsoft Outlook
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| Stage | Established
| Established
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| Founded | 2016
| 2015
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| Based in | PT
| CA
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| Pricing model | Freemium
| Freemium
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| Pricing | Not given
| Free demo converts first 10 emails. Full license from $29
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| Key features | - AI data analysis and summarization
- Data table automation
- 50+ built-in integrations
- Real-time collaboration
- Interactive dashboards and embeds
- PDF and document extraction
- Automated data refresh
- Forms and calculators
- Rows API
- Web scraping with RowsX
| - Batch convert multiple PST files simultaneously
- Preview emails and folder structure before export
- Custom file naming conventions
- Support for ANSI and UNICODE PST formats
- Preserves RFC-822 metadata and attachments
- Standalone operation without Outlook installation
- Selective export of specific folders or emails
- Support for large PST files up to 2GB
- Compatible with multiple email clients
- Free demo version with first 10 emails
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| What makes it different | - No code or SQL required—use plain language to analyze data
- Connect to 50+ data sources in a single spreadsheet
- AI-powered data extraction and analysis 10x faster
- Build live reports with automatic data synchronization
- Embed interactive dashboards anywhere on the web
| - No Microsoft Outlook installation required
- Works with orphaned PST files
- Batch conversion of multiple files
- Flexible file naming conventions for organization
- Complete data preservation with formatting intact
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 71 ● no change since last check | 34 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 29 | 27 |
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| Citation Flow (Majestic) | 47 | 39 |
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| Referring domains (Majestic) | 3357 | 2943 |
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7 details filled in for both companies.
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