The output generated by teX.ai can be consumed in the following ways:
Can be directly fed into a database for downstream analytics
Output data can be entered in 3rd party applications via APIs
The output can be shared via emails for different modes of consumption
Pre-processing is a part of teX.ai’s text extraction module. Images you want to process may be blurred or lacking contrast. The text in documents could be misaligned, page background potentially smudged and more. Pre-processing them helps extract information accurately by improving the quality of scanned images and documents.
teX.ai has advanced image pre-processing capabilities. You can either process a single file or a batch of files using teX.ai. teX.ai has a multitude of image enhancement techniques which are in-built such as de-skew, brightness contrast and more. De-skewing an image, for example, helps align the characters in a straight line.
You are a single click away from enhancing the quality of an image or a scanned document!
Our NLP stack app digests your text collection and builds the crux of the collection through topics, clusters and keywords. Load your text collection from the databases or folders, train them using our NLP models for patterns and unearth the insights as per the modules – Topic Models, Doc Clusters, Keyphrase Highlights, Name Entity Recognition (NER) Graphs. Output can be consumed in the form of Excel files or in the form of visualizations and is customizable in any desired format.
A multialgo-ML classification engine customized for parsing short text stories and detecting the category. Load your labelled training text data, our engine learns using the ensemble ML models and chooses the best model to fit the best-suited label. Our team of data scientists help you in configuring the initial setup and retune the models. Output can be consumed in the form of Excel files and is customizable in any desired format.