MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).
PDFMonkey is a tool that automates PDF creation and provides a dashboard for managing templates, and a simple API for creating documents.PDFMonkey Integrations
MongoDB + PDFMonkeyFind Document in PDFMonkey when New Document is created in MongoDB Read More...
MongoDB + PDFMonkeyGenerate Document in PDFMonkey when New Document is created in MongoDB Read More...
MongoDB + PDFMonkeyFind Document in PDFMonkey when New Field is created in MongoDB Read More...
MongoDB + PDFMonkeyGenerate Document in PDFMonkey when New Field is created in MongoDB Read More...
MongoDB + PDFMonkeyFind Document in PDFMonkey when New Database is created in MongoDB Read More...
It's easy to connect MongoDB + PDFMonkey without coding knowledge. Start creating your own business flow.
Triggers when you add a new collection.
Triggers when you add a new database.
Triggers when you add a new document to a collection.
Triggers when you add a new field to a collection.
Triggers when a document's generation is complete and successful.
Create a new document in a collection of your choice.
Find a document in PDFMonkey.
Generate a new document
MongoDB is a database that stores data in the form of documents. This database allows user to store data in the form of objects and arrays and store them in a database in a NoSQL fashion. MongoDB is a cross-platform document-oriented database, which stores data on disk. Unlike SQL databases, it does not support tables, rows and cpumns. Data is stored in documents with complex data types and sub documents. Documents can also be linked to one another.
PDFMonkey is an online top used for extracting data from PDF files. PDFMonkey extracts text, images and metadata from PDF files. It is a free service which users can use to extract text from PDF files and add this data to their project. The extracted data can then be exported as CSV, Excel or JSON format. There is also an option of exporting as a PDF file with all the extracted data.
Integration of these two products is possible via APIs provided by both products. MongoDB has an API for its database which can be used by any application that uses JSON for data storage. For applications using other languages, there are several libraries available for using MongoDB.
PDFMonkey has an API for extracting data from PDF files and converting it into different formats. In case of the free version of PDFMonkey, only text extraction is available. Paid versions enable users to extract images from PDF files as well.
There are numerous benefits of integrating these two products. Firstly, PDFMonkey can be used to convert scanned documents into electronic format using OCR software like Tesseract. These documents can then be uploaded to MongoDB to store the scanned information in it for future reference. In addition, PDFMonkey can automatically extract text from the documents scanned using Tesseract and upload them to MongoDB. This way, users do not have to manually type in text in any application, let alone multiple applications or Google Forms. Text can be automatically extracted from scanned documents using PDFMonkey and uploaded to MongoDB using its API. This way, no manual typing is required at all. PDFMonkey also provides both paid and free services which allow users to store scanned documents in MongoDB for long term storage or short term storage for immediate access. Paid services provide additional features like image extraction and conversion into other file formats like JPEG, PNG, or DOCX among others. Documents can then be converted into these formats before storing them in MongoDB.
This integration offers significant benefits to users compared to conventional methods of storing scanned documents or typed text for future reference. Here are some major benefits which users derive:
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