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Text Extraction

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Our text extraction solutions can extract structured and unstructured text, and convert it into a predefined format. Load your document in any of the formats – be it a pdf, doc or image. Choose from the many ML/DL/Scraping extraction methods. Export to CSV, JSON and many more formats.

In a Nutshell

Our text extraction solution can automatically extract text from PDFs, images and websites to structure the unstructured data.

Functions (Use Cases)

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Extract tabular and peripheral data from PDFs

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Extract alternative data from websites and APIs

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Redaction of sensitive information extracted from documents such as Bank statements, EHRs, Invoices, KYC, Emails, Legal documents, Research papers, and more.

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Features

Pre-Processing

No manual template designing needed. Deep Learning methods detect the tabular areas and OCR them as tabular data. Sequential text analytics in NLP detect the entities (batch number, issue date etc.) across document irrespective of their position

Document-Clasificaion

Customize the extracted output to a XLSX, CSV, JSON, XML file or write to a database

Languages

Support a variety of languages, including English, Thai, Japanese, Arabic, Mandarin, German, and all Latin languages

Schedule a demowith our experts and unlock the potential of your text!

Tech Stack

Text analytics using Python libraries are used for extraction and structuring.

PDF

PDF

Library Used: Tabula, Camelot, Tensorflow, Keras, Pytesseract

Images

Images

Library Used: OpenCV, Tensorflow, Keras, Pytesseract

Websites

Websites

Library Used: BeautifulSoup, Scrapy, Selenium

Quick Links

Demo

See how teX.aiTM can help you glean insights from the text data you possess.

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Brochure

For a quick glance of the advantages teX.aiTM can offer you, download our brochure now!

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FAQs

Our carefully curated FAQs will help address all questions you have about teX.aiTM!

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