Based on our record, Metriport should be more popular than DocParser. It has been mentiond 24 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.
• Cronometer With these initial integrations, we plan to add many more to this list, including Garmin, Apple Health, and Google Fit in the near term. We work very closely with our customers, so if there’s an integration you need that’s not currently on roadmap, we’re more than happy to add it and build it into our API. Because we’re also open-source, developers can fork our code and build their own custom... - Source: Hacker News / over 1 year ago
As some of you may have already saw, over the summer we made the difficult decision to pivot our business, and go after a similar problem in the healthcare space, with the main goal to make healthcare data more accessible. For those interested in finding out more about this, you can check out this recent write up about us, or check out our newly revamped website. Source: over 1 year ago
Sweet, feel free to check it out here and let us know what you think :). Source: almost 2 years ago
My friend and I are both Apple Watch owners and we made an app this year to get better insights into our data, but now we're looking at other wearables out there to see what else is possible in terms of unique data and insights. Curious to see hear from those in this community of why they chose to go with Whoop! Source: almost 2 years ago
5 months ago, we made a post here telling the story of what we learned from quitting our jobs to build and release Metriport from scratch in 11 weeks. We wanted to follow up since that post, as a lot has happened since then, including getting featured on TechCrunch and more recently getting accepted into Y Combinator's S22 batch of startups. Source: almost 2 years ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: 12 months ago
DocParser: DocParser simplifies the extraction of structured data from various file formats, such as PDFs and scanned documents, directly into Google Sheets. By automating this process, DocParser saves valuable time and effort otherwise spent on manual data entry. Link to DocParser. Source: about 1 year ago
There are several tools available today that can help you extract tables from PDF files (such as Tabula), or even parse PDFs into structured JSON using AI (like Parsio -> I'm the founder) or without AI (like Docparser). Source: about 1 year ago
Thank you for sharing those! I didn't know them I've only checked this one https://docparser.com/ and I think my solution could be better because it will be easier for the user. Source: over 1 year ago
As previously suggested, if the layout of your PDFs never changes (consistent column widths in tables and placement), you can use a zonal PDF parser like DocParser. Alternatively, an AI-powered parser may be a better choice. Source: over 1 year ago
Rita Personal Data - Collect, view and control your data
Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
SelectStar - Select Star (https://selectstar.com) is an automated data discovery platform that analyzes & documents your data.
FlexiCapture - ABBYY FlexiCapture brings together the best NLP, machine learning, and advanced recognition capabilities into a single, enterprise-scale platform to handle every type of document. Available in the Cloud, on premise or as SDK.
Letsfind - Letsfind is a fast, easy-to-use, ad-free way to create online (meeting) polls.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.