Parsio is an AI-powered document parser that extracts data automatically. It uses machine learning to extract structured data from emails, PDFs, Excel, CSV, HTML and XML files.
The parsed data can be exported in real time to Google Sheets, Slack, Notion, Airtable, and 6000+ apps via Zapier and webhooks.
Say goodbye to manual data entry and streamline your data extraction process with AI-powered document parser.
Email Parser bridges parse the emails you receive and export its contents to Excel files, Google Sheets and databases. It can parse email text from the email itself or from the attachments. The configuration is fast and easy thanks to the different parsing methods and the wide range of examples available.
Based on our record, Parsio.io seems to be more popular. It has been mentiond 35 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Parsio.io — Free email parser (Forward email, extract the data, send it to your server). - Source: dev.to / 3 months ago
I'm the developer of two tools that can do precisely what you're looking for: Parsio (https://parsio.io) and Airparser (https://airparser.com). Source: 7 months ago
I'm the founder of Parsio (https://parsio.io). We use pre-trained AI models to automatically extract tables from PDFs. It works perfectly in most cases. Source: 7 months ago
To extract tables from PDFs, you can use the following tools: 1. Tabula (https://tabula.technology): a free and open-source tool. 2. Parsio (https://parsio.io): uses pre-trained AI models for data extraction from PDFs, emails, and other formats. 3. Airparser (https://airparser.com): uses GPT approach similar to ChatGPT for data extraction from PDFs, emails, and other formats. - Source: Hacker News / 8 months ago
I'm building Parsio (https://parsio.io), a document parser tool. It can extract structured data from emails, PDFs, HTML, Word, Excel, and other file types. Source: 10 months ago
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