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EML to PDF vs BrowserOCR

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

EML to PDF compared with BrowserOCR
DetailEML to PDF logo EML to PDFBrowserOCR logo BrowserOCR
What it doesConvert email files to PDF in your browser without uploading Extract editable text from images privately in your browser
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Free
PricingFree for unlimited individual email to PDF conversion. Case Pass US$29.90 one-time for 90 days. Pro US$14.90/month or US$99/year. Legal US$24.90/month or US$199/year. Not given
Key features
  • Preview email headers (From, To, Cc, Date, Subject) before conversion
  • Support for .eml, .msg, and .mbox files
  • Batch convert unlimited emails with individual PDF downloads
  • Merge multiple emails into single date-sorted PDF
  • Extract and download attachments
  • Bates numbering for legal documents
  • Remote images off by default to prevent sender tracking
  • Works on Mac, Windows, Linux and Chromebook without installation
  • Process up to 10 images at once, up to 100 MB total
  • Support for JPEG, PNG, WebP, BMP, TIFF, HEIC, and HEIF formats
  • English and Chinese language recognition including mixed text
  • Fast and High accuracy processing modes
  • Extract text as plain text or table Markdown format
  • Download individual results or batch as ZIP file
  • Offline capability after initial download
  • PDF to text conversion for native and scanned PDFs
What makes it different
  • No file upload required - emails never leave your device
  • No installation or account needed
  • Preserves email headers and creates real selectable text in PDFs
  • One-time payment option for bulk jobs with no renewal
  • All processing runs locally in your browser with no server uploads
  • Files and results stay in your browser, never transmitted or stored on servers
  • Works offline after first use with no accounts or sign-ups required
  • Supports mixed English and Chinese text recognition in a single image
  • Uses open-source PP-OCRv6 model with no server fallbacks
Community votes00
DR (Domain Rating by Ahrefs)5 +1 (up) since last check22 +1 (up) since last check
Trust Flow (Majestic)65
Citation Flow (Majestic)1519
Referring domains (Majestic)66

4 details filled in for both companies.

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