Document Entity Extraction

Turn documents into real-time business intelligence

Document Entity Extraction
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Overview

Turn document chaos into clarity with the Document Entity Extraction service. With this service, you can automate the extraction of key fields and data points from structured forms and semi-structured documents; support for unstructured text available with varying accuracy depending on complexity. Designed for scalability and accuracy, it reduces manual data entry, increases operational effectiveness, and integrates effortlessly into existing workflows. From processing forms, IDs, and financial documents, it brings precision at speed, designed for businesses requiring fast turnaround and low-latency data processing, subject to document complexity and volume.

Pricing

To know more about the SKUs and pricing click below.

Core Features at a Glance 

OCR + NLP Pipeline
Combines Optical Character Recognition (OCR) with Natural Language Processing (NLP) to identify entities in documents.
Entity Classification & Labelling
Detects and labels various entities such as names, dates, IDs, addresses, and monetary values.
Layout-Aware Parsing
Maintains document structure by preserving tables, columns, and headers for accurate field mapping.
Multilingual OCR
Supports English and multiple Indian regional languages, with accuracy dependent on script and input quality.
Confidence Scoring
Provides accuracy scores for extracted data to ensure quality control and validation.
Redaction & Highlighting
Can redact or highlight sensitive information like Aadhaar numbers and phone numbers, though performance depends on OCR accuracy and entity recognition quality.

What You Get

Language Inclusivity
Extracts content from Indian language documents, supporting multilingual document workflows.
Faster Data Entry
Automates data capture from documents, potentially reducing turnaround time significantly (observed gains in many deployments, depending on document type and workflow).
Improved Accuracy
Helps reduce manual errors through automated field extraction and validation, though human review may still be needed in some cases.
Document Diversity Handling
Supports structured forms, free-text letters, and tabular reports.
Integration Ready
Easily connects with CRM, ERP, and document workflow systems, provided appropriate APIs or SDKs are available.

Still have questions?

Supports a wide range of documents including structured forms, IDs, financial statements, free-text letters, and tables.
Supports English and multiple Indian regional languages. Accuracy may vary depending on the script and document quality.
Yes, but extraction accuracy may reduce with very low-quality inputs. Pre-processing or manual review may be needed in such cases.
Accuracy is supported by confidence scoring, which provides reliability metrics for extracted fields to aid validation and review.
Integration is possible via APIs or connectors with CRM, ERP, and document management systems, supporting automated workflows.

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