Based on our record, Moz should be more popular than DocParser. It has been mentiond 46 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.
Moz - "Optimizing Outlines for SERP Success" Uncover the tactics behind AgilityWriter's Outline Builder in optimizing content outlines for Search Engine Results Page (SERP) success, as discussed in Moz's expert SEO resources. Source: 7 months ago
Moz | Lead/Sr. Data Engineer | REMOTE (USA / Canada) | Full-time | https://moz.com/ We’re a small team building new ETL data pipelines in Go to power Moz’s frontend applications. We leverage AWS (Lambda, SQS, ECS, Eventbridge, S3, etc.), Terraform, and Docker to consume, transform, and aggregate the massive amounts of data provided by our platform & collections teams. I’m specifically looking for a senior engineer... - Source: Hacker News / 7 months ago
Moz: It provides various SEO tools, such as keyword research, rank tracking, link analysis, and on-page optimization recommendations. Source: 11 months ago
In addition to website metrics, track your local search rankings. Several tools, such as Moz Local and BrightLocal, can help you monitor your local search rankings and compare them to your competitors. Source: 12 months ago
Https://ahrefs.com - still prefer this the most. The intangible for me is the ease of custom filtering and data exports. Prices do keep going up tho... Https://moz.com - OG but IMHO they lost their edge; export and data reporting is lacking. 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
Ahrefs - Ahrefs is a toolset for SEO and marketing. We have tools for backlink research, organic traffic research, keyword research, content marketing & more. Give Ahrefs a try!
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.
SEMRush - All-in-one Marketing Toolkit for digital marketing professionals.
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.
Serpstat - Search analytics, Rank tracking, Backlink analysis and Site Audit tool.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.