Software Alternatives & Reviews


Easily extract data from emails and convert it into useable, structured information. Discover the most efficient way of email data extraction that saves time and generates leads for your marketing department

Parserr Alternatives

The best Parserr alternatives based on verified products, community votes, reviews and other factors.
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  1. 26

    Automate text extraction from emails and PDFs by using our powerful email and document parser.

    freemium $39.0 / Monthly (100 pages per month)

  2. 23

    Extract data from e-mails. Automate your business.

  3. Featured

    The #1 email warming service to improve your deliverability by generating realistic and meaningful engagement to your emails. Easy-to-use solution to help you land in the main inbox instead of the spam folder.

    Visit website paid $19.5 / Monthly (Pro)

  4. 20

    Email Parser bridges the gap between the emails you receive and Excel files, Google Sheets and databases. It can capture text from incoming invoices, orders, receipts within the email or the attachments

    paid Free Trial $19.0 / Monthly

  5. 18

    eAutomate incoming Email Messages, Twitter Feeds, Web & Data Sources.

  6. 17

    Automatic email parser and data extractor

  7. Process or automate emails and attachments

  8. Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.

  9. 11

    No-code email & PDF parser


  10. Email parsing for sales leads

  11. 12

    Connect Anything, Automate Everything

  12. G-Lock Apps is an interesting tool that might seem simple to some, but is quite essential to most online marketers.

  13. Innovative online Email Marketing solution to manage your contacts, create & send your newsletters and track your results. More than 80 000 clients. Best prices and attractive features.

  14. Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.


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Author of Parserr's details: | Publisher: SaaSHub
Categories: Email Parsing, Email Automation, Data Automation


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