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Based on our record, Apache HTTP Server should be more popular than DocParser. It has been mentiond 50 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.
Single-page applications (SPAs) existed before S3, but given that you still had to set up, scale, and maintain servers using something like Apache or NGINX in order to serve them, the advantages for “Ops” or “DevOps” were not so different to running a “real server” with a language like PHP, python, or Java. - Source: dev.to / 4 months ago
Both Docusaurus and Starlight generate static sites. This means that theoretically, they can be deployed on any platform that supports deploying static sites (like Apache or NGINX). But both of them provide a significantly better developer experience if we deploy on their recommended platforms. - Source: dev.to / 4 months ago
Simiplicity is nice, but there are reasons why Perl and PHP were the popular choices for web stacks in the early 2000's--they are faster and easier to develop with than C and likely safer than C too. Mod_perl (https://perl.apache.org/) and mod_php (https://cwiki.apache.org/confluence/plugins/servlet/mobile?contentId=115522403#content/view/115522403) helped to make Apache httpd (https://httpd.apache.org/) the... - Source: Hacker News / 6 months ago
The Apache HTTP Server project was initially launched in 1995 by a group of web developers and administrators who sought to improve upon the existing web server software available at the time. The project has since evolved into a collaborative effort, with contributors from around the world working together to maintain and enhance the server. Today, the Apache HTTP Server is managed by the Apache Software... Source: about 1 year ago
Apache websites of friends and acquaintances. Source: about 1 year 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
Microsoft IIS - Internet Information Services is a web server for Microsoft Windows
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.
Apache Tomcat - An open source software implementation of the Java Servlet and JavaServer Pages technologies
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.
XAMPP - XAMPP is a free and open-source cross-platform web server that is primarily used when locally developing web applications.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.