Extract Structured Pharma Data with AI
Table Extraction for Pharma
Extract and transform critical information from scientific tables, clinical trials, and regulatory reports in seconds.
Structured Scientific Data at Scale
AI extracts tabular data from research documents, clinical trial reports, and regulatory submissions—accurately and instantly.
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Eliminate Manual Data Entry
Automated parsing and formatting significantly reduce the time and errors involved in handling tabular data manually.
Research & Compliance Ready
Formatted outputs are structured for seamless integration into research systems and regulatory workflows.
Overview
Digitize Pharma Tables with Confidence
AI-powered table extraction ensures speed, accuracy, and compliance when dealing with complex pharma data.
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How Table Extraction for Pharma Works
See how AI transforms unstructured pharma tables into clean, usable datasets.
Source Document Ingestion
Import & Identify
AI identifies and segments relevant tables from PDFs, Word files, and scanned documents.
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Table Structure Detection & Parsing
AI-Powered Table Understanding
Complex multi-row/column structures are detected and broken down into accurate rows, columns, and headers.
Structured Output Generation
Data Delivery
Parsed table data is exported into usable formats like Excel, JSON, or direct API integration into internal systems.
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FAQs
What is Table Extraction in pharma?
Table Extraction helps extract structured data from scientific reports, drug trial tables, and regulatory documents automatically.
Which file formats are supported?
Our solution supports PDF, Excel, scanned images (OCR-enabled), and common document formats used in pharma.
Is manual review still required?
Our AI minimizes manual effort, but optional human validation can be enabled for sensitive data extraction.
Can it detect complex table layouts?
Yes, it handles multi-column, nested, and irregular table structures often found in pharmaceutical documents.
Is the solution compliant with GxP standards?
Is the solution compliant with GxP standards?
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