The 6-signal founder validation companion. Score any startup idea on a 0-100 Launch Readiness Score across demand, pain, competition, money, funding, urgency. 1000+ ideas pre-scored. 200+ data sources. Daily refresh.
featured
Mockaroo
Generate Data
Beeceptor
ExtendsClass JSON Generator
Smock-it
Faker
Fake Data
JSON Generator
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
FlexiCapture
DocuClipper
Parsio.io
Mockaroo DocParserBased on our record, Mockaroo should be more popular than DocParser. It has been mentiond 27 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.
If you give it the rules to generate something, why can't it generate it? That's what something like Mockaroo[0] does. It's just more formal. That's pretty much what LLM training does, extracting patterns from a huge corpus of text. Then it goes one to generate according to the patterns. It can not generate a new pattern that is not a combination of the previous one. [0]: https://mockaroo.com/. - Source: Hacker News / about 1 year ago
A quick way to test this out is to use a tool like Mockaroo to generate some test data and then have a Glue Crawler analyse the data in S3 and create the required data catalog entries. - Source: dev.to / over 2 years ago
Mockaroo โ Mockaroo lets you generate realistic test data in CSV, JSON, SQL, and Excel formats. You can also create mocks for back-end API. - Source: dev.to / over 2 years ago
I generated some test data to load into Snowflake using Mockaroo. - Source: dev.to / over 2 years ago
So head to Mockaroo, and configure the data model fields to match that of the class you created earlier, for me, it looks like this:. - Source: dev.to / almost 3 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
Generate Data - GenerateData.com: free, GNU-licensed, random custom data generator for testing software
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Beeceptor - Unblock yourself from API dependencies, and build & integrate with APIs fast. Beeceptor helps you build a mock Rest API in a few seconds.
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
ExtendsClass JSON Generator - ExtendsClass's JSON generator allows to generate random JSON data from a template.
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.