Docuparse
An artificial intelligence-based solution that identifies, extracts, and exports data from a PDF or scanned document to structured information formats.
say goodbye to manual data entry, data extraction and parsing all while you automate your business processes.
Why Docuparse
Models are pre-set as per most common use cases. Use the ones that you think fits your business model or custom make one with our experts.
Data Extraction is possible across document types, across mediums and channels of communication of your business.
Simple and Easy API based integration. Faster implementation and zero wait time.
All that sums up to adding the Wow factor to your customer services.
Pre-set extraction models
Perfect Blend of AI and Human Intelligence
Export Data Anywhere
Multiple Document Types
Pre-set extraction models
Pre-set extraction models
Pre-configured extraction models covering the most common use cases that set you up within minutes and can be tweaked to meet your unique business needs.Perfect Blend of AI and Human Intelligence
Perfect Blend of AI and Human Intelligence
Docuparse uses NLP and Deep learning over and above OCR to extract text with high accuracy and generate a confidence score for you to review quickly with minimal errors.Export Data Anywhere
Export Data Anywhere
Export parsed data to virtually any system using JSON Rest API, or download in CSV, Excel, and XML formats.Multiple Document Types
Multiple Document Types
Extract data from various document types such as PDF, scanned images, and HTML.Text and data extraction across pages
Extensible with custom templates
Inbuilt validation rules
Direct ingestion via email integration
Text and data extraction across pages
Text and data extraction across pages
Extract text, tables, forms, and other structured data in-context and spread across multiple pages without configuration, training, or custom code.Extensible with custom templates
Extensible with custom templates
Easily define new parsing template using our “boundary box” technique and increase extraction accuracy from unknown document templates.Inbuilt validation rules
Inbuilt validation rules
Use inbuilt and custom validation rules for addressing errors during extraction process thus, covering the most common use cases such as invoice processing.Direct ingestion via email integration
Direct ingestion via email integration
Automatically extract details from email attachments to accurately enter the data into any business system.Use Cases
Invoices and Bills
Financial Statements
Forms and Applications
Contracts and Agreements
Invoices and Bills
Automate end-to-end accounts receivable and payable workflows
- Import supplier bills directly from emails.
- Extract header and detail fields from bills and invoices.
- Apply rule-based validation.
- Identify calculation errors.
- Create custom parsing rules for unknown invoice layouts.
- Directly upload to ERP and accounting systems using ready integrations
Financial Statements
Capture tabular financial data from PDFs or scanned images into a structured format to achieve multiple objectives.
- Convert credit card, bank statements and financial statements (income statement and balance sheet) into a Microsoft Excel spreadsheet
- Reduce manual errors via automated extraction of derived financial metrics and ratios.
- Standardize various conventions & formats of financial reports and bank statements.
- Reduce errors via inbuilt validation rules to reconcile bank statement data against running balance.
Forms and Applications
Automate your paper applications processing with intelligent data extraction.
- Extract fields from various types of forms viz. loan applications, medical forms, and HR applications.
- Detect key-value pairs (e.g. Name: “John Doe”) and even lists (e.g. Known Allergies: “Dust”, “Pollen”).
- Process forms in bulk and real-time, and convert data into a structured format such as Microsoft Excel or JSON.
- Extract free notes text using a layout parser.
- Recognise and interpret optical marks such as ticks and crosses.
Contracts and Agreements
Simplify, speed up and reduce errors in standardised legal documents processing
- Digitise multiple types of legal documents such as insurance agreements, trust deed, and rental agreements.
- Greater accuracy with contextual relationship-based data extraction using NLP.
- Automate your data entry process by extracting data from documents in real-time.
- Use pre-set models to glean out key business information, e.g. trust name, beneficiaries, trustees etc.
