andrewio

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.

I've just launched Airparser, a document parser powered by GPT. I created it to solve the problem of parsing human-written, semi-structured, and unstructured documents.

It extracts structured data from PDFs, emails, HTML, txt, scanned images to JSON that you can export anywhere via webhooks or Zapier/Make.

I would love to hear your thoughts and feedback on the tool itself and landing page (design and tool presentation)!

You can use a PDF parser tool to extract data from PDF tables. I'm building parsio.io - we use pre-trained AI-powered parsers to parse PDF tables: https://parsio.io/table-extraction/. Another example us Tabula (free)

Parsio is an AI-powered document parser.

It uses machine learning and parsing templates 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.

Automatically extract contact details from email signatures using AI within your Gmail inbox and send them to Google Sheets, webhooks, Airtable, Zapier etc.

Try https://parsio.io.

It converts PDFs into a structured JSON format that you can export anywhere using a Zapier or Make automation:

Docparser has been on the market for years and has a solid customer base, despite the rise of more sophisticated AI-powered tools for data extraction. The switching cost for customers is relatively high in terms of the effort required.

As for the use cases, we have all kind of it.

For emails, our customers parse submitted forms and leads to Google Sheets and CRM, extract booking data from Airbnb confirmations, exporting Etsy orders to Trello, extract and filiter HARO queries.

For PDFs and scanned documents, we have businesses parsing invoices, receipts, quotes, contracts, business cards etc.

Any AI-powered PDF parser doesn't require documents to use "the same layout".

I'm building Pariso (parsio.io) that can parse invoices, receipts etc. They all may have different layout :)

It started a couple of years ago. At this time we were developing e-commerce and CRM extensions and selling them on different marketplaces.

Once someone purchases an extension, the marketplace sends us order and customer details. Some of our extensions used license keys that we needed to (1) generate and (2) send to customers ASAP.

As these marketplaces don't have any API we were literally keeping our eyes peeled for any new email in our company's inbox to manually generate and send the license (imagine this nightmare).

We tried out a couple of pretty expensive solutions ($500+/mo) but the result was not as good as we wanted. So we finally came up with our own internal solution that saved us hundreds of hours (and a lot of money). We are using it a couple of years already and finally launched it as a SaaS product so everyone can use it.

We don't have any special expectations about how helpful it will be to other people and businesses so we are still experementing and collecting user feedbacks. However, we have our first users coming (mostly) from Quora.

This is very motivating and we are working hard to make of Parsio.io a powerful email parser suitable for everyone.

We are actively collecting user feedbacks so we are open for discussion and advices.

Could this kind of tools be helpful for your business or project? What's the price you are ready to pay?

https://parsio.io