Docparser
Docparser is a document parsing API that can extract data from invoices, receipts, resumes and more. It uses machine learning to identify and extract key-value pairs, tables and other structured data from documents.
ocr
extraction
parsing
machine-learning
Docparser: Document Parsing API
Extract data from invoices, receipts, resumes and more with Docparser's machine learning-powered document parsing API
What is Docparser?
Docparser is a cloud-based document parsing and data extraction API. It allows developers to build document processing workflows to extract data from invoices, receipts, resumes, contracts and many other document types.
The key capabilities and benefits of Docparser include:
- Machine learning powered data extraction - Docparser uses advanced machine learning and computer vision techniques to identify and extract text, tables, key-value pairs and other structured data from documents with high accuracy.
- Supports wide variety of document types - Invoices, receipts, ID cards, tax forms, sales contracts, onboarding forms and more. Docparser has pre-built templates and can also learn custom document templates.
- Flexible integrations - Docparser provides REST APIs, webhooks and integrations with business apps like Google Sheets, Xero, QuickBooks Online. It can fit into any existing document processing workflow.
- Scalable cloud infrastructure - Docparser runs on a highly scalable cloud infrastructure to deliver fast and reliable data extraction services for high volume document loads.
- Detailed analytics - Detailed visibility into data extraction accuracy rates, processing times and other analytics to monitor and improve document workflows.
By automating document data capture, Docparser can save significant time and reduce errors for businesses across financial operations, accounting, HR and legal functions.
Docparser Features
Features
- Extracts text and data from PDFs and images
- Supports many document types like invoices, receipts, resumes
- Extracts key-value pairs, tables, and other structured data
- Has pre-built templates for common documents
- Offers OCR to convert scanned docs to searchable text
- Has API and integrations for automating data extraction
- Can classify documents by type
Pricing
- Freemium
- Subscription-Based
Pros
Saves time by automating data entry
Extracts accurate data from documents
Easy to integrate into other apps and workflows
Scales to process large volumes of documents
No need to manually review and enter data
Works with many file types beyond just PDFs
Cons
Accuracy depends on document quality and template design
May require training for uncommon documents
Potential privacy concerns with processing documents
Limited free plan, paid plans can get expensive
Integration requires some development work
Official Links
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