Data Extractor
Data Extractor
Turn unstructured information from documents and other sources into organized data that feeds your business processes and systems automatically
Convert unstructured digital content into organized, insight-ready data with AI-powered extraction, matching, and classification.
AI intelligence
Trained models extract, match, and classify data
Structured data extraction
From PDFs, Word, Excel, PowerPoint, etc.
Smart matching
Match specific fields with accuracy scoring
Custom matching weights
Prioritize what matters to your business
Sentiment classification
Sort large datasets as Positive, Neutral, or Negative
Time-saving automation
Replace manual review with AI
Scalable on power platform
Customize and integrate seamlessly
Insight-ready output
Clean data for BI, reporting, and workflows
Step by step solutions process
Nextant offers a estructured and customizable process
Extract
Upload digital files (PDF, DOCX, XLSX, PPT, etc.)
Select specific data points to extract
Automatically structure the data in a consistent, exportable format
Match
Compare uploaded documents against a reference profile
Select criteria (e.g., skills, tools, experience) and assign weights
Receive a match score to identify best-fit documents
Classify
Analyze large text datasets (e.g., feedback, reviews)
Automatically label sentiment as Positive, Neutral, or Negative
Frequently Asked Questions
You can process a wide range of digital files, including PDFs, Word documents, and other common text-based formats.
You define the data points you want to extract (names, degrees, skills, dates, etc.), and the system automatically scans and outputs the relevant information in a structured format.
It compares any document (like a CV or proposal) against a reference profile or criteria you define, returning a percentage-based match score for each file.
Any large volume of unstructured text — such as customer feedback, survey responses, or social media comments — can be classified as Positive, Neutral, or Negative.
Yes — all core features (Extract, Match, Classify) are powered by AI models trained to perform these tasks with accuracy and flexibility.
Absolutely — since it’s built on Microsoft Power Apps, the Data Extractor can be customized to match your unique workflows, data structures, and reporting needs.
Yes — extracted data, match results, and classifications can be downloaded in structured formats for use in your internal systems or reporting tools.
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