DocParser might be a bit more popular than Mapbox. We know about 14 links to it since March 2021 and only 12 links to Mapbox. 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.
Yeah domain knowledge/network is definitely needed, I am working with a friend who has that, it's a must in this field because it's almost set in the stone age. Google maps was crazy expensive I went with Mapbox[1] for now which seems to have enough features and is less expensive. [1] https://mapbox.com/. - Source: Hacker News / about 1 year ago
|Developer Notes| |:-| |Optional Power Shortcuts - Provides shortcuts to deeper links. Example: I wanted a one-touch button that opens the Developer Options menu. This app does this. Not required for core functionality of the theme.| |Allows 4 custom wallpapers, either local files or web links. Includes 2 add'l wallpapers pulled from Bing Daily and r/earthporn.| |The location and weather panel has a live map... Source: over 1 year ago
The location and weather panel has a live map displayed. Well, it won't for you, unless you grab a free API key from mapbox.com and paste it in the 1st global. Source: over 1 year ago
If you want to show polygons it is a bit more difficult. With the above map functions you can create a Choropleth map by using predefined regions (like countries, states etc.). But for custom polygons it won't work. You can either use ArcGIS Online in combination with the ArcGIS Maps for Power BI viz or use the Mapbox Visual function (you need to install this one first by pressing "Get more visuals"). You can... Source: almost 2 years ago
They are using mapbox.com service and their API to build this map. Source: about 2 years ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: almost 1 year 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
Google Maps - Find local businesses, view maps and get driving directions in Google Maps.
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.
QGIS - QGIS is a desktop geographic information system, or GIS.
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.
ArcGIS - ArcGIS software is a data analysis, cloud-based mapping platform that allows users to customize maps and see real-time data ranging from logistics support to overall mapping analysis.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.