
OpenStreetMap
Google Maps
HERE WeGo
Mapbox
Apple Maps
Leaflet
Bing Maps
2GIS
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
FlexiCapture
DocuClipper
Parsio.io
OpenStreetMap
DocParserBased on our record, OpenStreetMap should be more popular than DocParser. It has been mentiond 130 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.
Finally, to ensure a visually harmonious experience, the design of the integrated modern map, which utilizes OpenStreetMap (OSM) data, has been carefully styled to match the aesthetic and color palette of the original Rekichizu historical map. - Source: dev.to / 8 months ago
You can go to https://openstreetmap.org/ , zoom in and enable the map data layer. From there history is accessible. - Source: Hacker News / over 2 years ago
Hi! I am working on a project mapping bike racks around my city on OpenStreetMap. One of the attributes that I tag is the rack's capacity, but I haven't come to a conclusion about the capacity of these wave-shaped racks:. Source: over 2 years ago
I need the bounding boxes of all adminstrative units in a specific region from the largest (e.g. The state) to the smallest (whatever this is called) including the full name of the district. What I mean by that is what is displayed on openstreetmap.org when I search for e.g. Brooklyn: it will be displayed in the search results as "Brooklyn, Kings County, New York, United States of America" โ the names joined from... Source: over 2 years ago
It's OpenStreetMap (ODbL) and Natural Earth (public domain) currently * http://openstreetmap.org * http://naturalearthdata.com. - Source: Hacker News / over 2 years ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: about 3 years 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 3 years 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: over 3 years 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 3 years 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 3 years ago
Google Maps - Find local businesses, view maps and get driving directions in Google Maps.
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
HERE WeGo - HERE WeGo - Maps - Routes - Directions - All ways from A to B in one
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Mapbox - An open source mapping platform for custom designed maps. Our APIs and SDKs are the building blocks to integrate location into any mobile or web app.
Rossum - Rossum is AI-powered, cloud-based invoice data capture service that speeds up invoice processing 6x, with up to 98% accuracy. It can be easily customized, integrated and scaled according to your company needs.