FileDoc has automated enrichment of metadata to improve accuracy when compared to a manual approach. The advanced “Train once & use perpetually” model makes FileDoc an automatic choice for managing and classifying the documents.
Business Challenge
- Eliminating repetitive log register entries.
- Extracting critical information manually from the content of a file based on the category of file. The data being extracted is used as a metadata.
- Manual training of people to identify and classify the metadata is a tedious and time-consuming process. This will affect the resultant jobs.
- Migrating classified files to content/document management system is prone to have more errors when done manually.
How Avasoft helped?
- An extensive analysis of various machine learning algorithms to identify the best suitable algorithm to produce a more accurate result in categorizing files.
- Implemented the most complex machine learning algorithm to mimic the system to act with maximum human intelligence.
- Design user interfaces in a way to easily train the computer even by a non-technical user.
- An extensive inventory analysis of the files was conducted prior to the classification.
- The interface provided to connect with various Content/Document management system in an easy way.
- Picked the best-distributed approach to increase the performance of the classification process.
- The selected metadata was extracted even from image files with low clarity using various image processing systems.
- Scheduling of classification reduced the intervention of the user.
- The end user is informed via email about the process of training and classification.
Tech Stack
Value Addition to Customer
- Deprecate the manual effort in capturing, categorizing and extracting critical information from the document.
- Increase speed of classification.
- The increase in accuracy of classification.
- Avail documents for consumption as soon as it is received.
- It helps employees to locate document easily from an organized file/document storage system.
- Reduced the efforts in extracting metadata by searching within a document.
