The client’s user base required a software solution that would quickly fetch data by extracting information from desired PDF files. Therefore, the requirement brief aimed at developing a valuable and scalable PDF data extraction platform which comprised of the following major points:
- Develop a data-fetching software solution that would reduce errors in data entry. This feature is immensely useful in business processes involving high volumes of data every day.
- Enable a scalable and supple platform for automating data extraction, as this task makes working with PDFs easier and quicker, something that every enterprise aims at.
- Craft and configure appropriate rules so that the platform would automatically fetch data from the rendered PSF files.
- Reduce the search time professionals give up when they need specific data and wish to rekey the sets as required.
- Use OCR engines and solutions to auto-fetch and convert data from images to relevant, workable text
- An intuitive user interface that enables data handling and scraping undesired templates quickly with the least effort, along with auto-scarping pipeline operation for bulk PDF files.
- Export crucial data sets in various formats to help the user analyze precisely and have valuable insights.
- Leverage artificial intelligence in order to identify new fields and fetch them as needed with simple commands.
- Generate practical information with a few simple steps through the platform.
The client needed an application that could automate their data entry processes. So, they partnered with Technostacks, a leading web and mobile application development company, and ventured into an exciting project: designing a new-age PDF data extraction app.