Powered by A.I
Robot who understand documents better for superb accuracy data extraction.
EFFORTLESS DATA
EXTRACTION WITHOUT CODING
No coding is needed. No I.T. expert to be involved. Extract data in mouse-clicks. Easy Peasy.
Services
CHOOSE US, BECAUSE WE MAKE IT POSSIBLE
Digitizing data that resides in hundreds of physical documents is a major task everywhere.Variety of document types are challenging to extract. Finding easy-to-use software with cutting-edge technology to automate data extraction is a major issue.
BUT, we make it possible to handle
Features
Powerfull Features
Auto OCR ( Optical Character Recognition ) Convert any printed, typed, or scanned document into digital machine-readable text A.I Machine Learning Intelligently understand
Multilingual
Work with documents with any languages. ( English, Chinese, Indonesia, Japanese, Vietnamese, Thai )
User Friendly
No I.T. Expert / Engineers to be involved. Easy and friendly interface for any types and end-users. Customizable template for extraction. Drag and drop labelling to train the bot.
Effortless Extraction
Auto OCR Create your extraction project in a click of a mouse. No coding, programming, or installation is needed.
Unmatched Speed
Extract hundreds of documents in minutes. Quickly create your extraction project or email it to us.
RoboExtract studying the document patterns.
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Step 1 - Preparing Data
The first step in the Roboextract Process, before our algorithms can start doing the work for you, you will first have to "teach" it by first labelling the PDF documents! The more training data you give it, the better it will perform.
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Step 2 - Labelling Data
After the labelling process has been completed; you can start training the algorithm, and save it for use in the next step. There are various settings you can tinker with in this step; but most of them can be left as default.
RoboExtract studying the document patterns.
-
Step 1 - Preparing Data
The first step in the Roboextract Process, before our algorithms can start doing the work for you, you will first have to "teach" it by first labelling the PDF documents! The more training data you give it, the better it will perform.
-
Step 2 - Labelling Data
After the labelling process has been completed; you can start training the algorithm, and save it for use in the next step. There are various settings you can tinker with in this step; but most of them can be left as default.
